Litmaps

At a glance

Pricing

Free + ~$10/mo Pro + Teams.

HIPAA

Not disclosed

SOC 2

Not disclosed

EHRs

—

Founded

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Bottom line

Visual literature mapping with citation alerts.

Free tier available.

Overview

Pricing

What it costs

Free tier only; no paid plans publicly disclosed.

Source: vendor pricing page. Verified May 23, 2026.

Peer-reviewed coverage

What the literature says

5 peer-reviewed studies indexed on PubMed evaluate Litmaps in clinical contexts. The most relevant are shown below, ranked by editorial relevance score combining title match, study design, recency, and journal tier.

Effects of integrated care on health outcomes in patients with diabetes in primary healthcare: A systematic review and meta-analysis protocol.

Costa WPD, Torres HC, Sarti TD, et al.· MethodsX· 2025Systematic Review

Diabetes is a leading global cause of morbidity and mortality among non-communicable diseases, with increasing prevalence and a disproportionate impact on low- and middle-income countries. Integrated care has emerged as a promising approach for addressing the challenges of diabetes management, thereby enhancing clinical outcomes and optimizing healthcare resource allocation. This protocol for a systematic review and meta-analysis aims to evaluate the effects of integrated care on clinical and health outcomes in individuals with diabetes who are followed up in primary care (PC): ● The m…

Development trends and knowledge framework of artificial intelligence (AI) applications in oncology by years: a bibliometric analysis from 1992 to 2022.

Koçak M, Akçalı Z· Discov Oncol· 2024

Oncology is the primary field in medicine with a high rate of artificial intelligence (AI) use. Thus, this study aimed to investigate the trends of AI in oncology, evaluating the bibliographic characteristics of articles. We evaluated the related research on the knowledge framework of Artificial Intelligence (AI) applications in Oncology through bibliometrics analysis and explored the research hotspots and current status from 1992 to 2022. The research employed a scientometric methodology and leveraged scientific visualization tools such as Bibliometrix R Package Software, VOSviewer, and Litm…

The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023.

Koçak M, Akçalı Z· J Cheminform· 2025

Today, drug discovery and development is one of the fields where Artificial Intelligence (AI) is used extensively. Therefore, this study aims to systematically analyze the scientific literature on the application of AI in drug discovery and development to understand the evolution, trends, and key contributors within this rapidly growing field. By leveraging various bibliometric indicators and visualization techniques, we seek to explore the growth patterns, influential authors and institutions, collaboration networks, and emerging research trends within this domain. Bibliometric and network a…

Artificial Intelligence in Stroke Care: A Narrative Review of Diagnostic, Predictive, and Workflow Applications.

Heeralal VT, Chadee SE, Ilyaev B, et al.· Cureus· 2025

Artificial intelligence (AI) has emerged as a transformative force in stroke care, with increasing integration into diagnostic, predictive, and operational domains. This narrative review synthesizes the applications of AI in acute stroke management, drawing on peer-reviewed literature published between 2015 and 2024. A structured search of PubMed, Google Scholar, Semantic Scholar, National Center for Biotechnology Information (NCBI), and Litmaps identified 300 records, of which 46 met predefined criteria. Eligible studies were peer-reviewed, in English, and focused on ischemic or hemorrhagic…

Artificial Intelligence: The Cutting-Edge Research Companion.

DiCiurcio WT, Nanavati R, Miller M, et al.· Clin Spine Surg· 2026

Artificial intelligence (AI) represents a paradigm-shifting technology that empowers computers and software to emulate human intelligence by processing vast amounts of data. Its ubiquitous utilization continues to expand across diverse domains. AI software leverages data to discern patterns, enhancing the efficiency and effectiveness of various tasks. This paper reviews 6 prominent AI platforms: Elicit, Scite, Trinka, SciSpace, Scholarcy, and Litmaps. The study aims to explore their applications in literature composition and their potential to streamline the entirety of the process. Despite t…

See all on PubMed