Protein Metrics (United States)

307 papers and 16.1k indexed citations i.

About

In recent decades, authors affiliated with Protein Metrics (United States) have published 307 papers, which have received a total of 16.1k indexed citations. Scholars at this organization have produced 83 papers in Statistics, Probability and Uncertainty, 43 papers in General Health Professions and 41 papers in Public Health, Environmental and Occupational Health on the topics of Meta-analysis and systematic reviews (70 papers), Health Systems, Economic Evaluations, Quality of Life (33 papers) and scientometrics and bibliometrics research (25 papers). Their work is cited by papers focused on Statistics, Probability and Uncertainty (2.2k citations), Molecular Biology (1.8k citations) and Public Health, Environmental and Occupational Health (1.7k citations). Authors at Protein Metrics (United States) collaborate with scholars in United States, United Kingdom and The Netherlands and have published in prestigious journals including Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society. Some of Protein Metrics (United States)'s most productive authors include John P. A. Ioannidis, Gary S. Collins, Ewout W. Steyerberg, Douglas G. Altman, David F. Ransohoff, Karel G.M. Moons, Petra Macaskill, Johannes B. Reitsma, Andrew J. Vickers and Dénes Szűcs.

In The Last Decade

Fields of papers published by authors at Protein Metrics (United States)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Protein Metrics (United States) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Protein Metrics (United States) at the time of their publication.

Countries citing scholars working at Protein Metrics (United States)

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at Protein Metrics (United States). It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Protein Metrics (United States) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Protein Metrics (United States) more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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