John R. Barber

40 total papers · 463 total citations
20 papers, 328 citations indexed

About

John R. Barber is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, John R. Barber has authored 20 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Surgery. Recurrent topics in John R. Barber's work include Malaria Research and Control (5 papers), Diabetes Management and Research (4 papers) and Pancreatic function and diabetes (3 papers). John R. Barber is often cited by papers focused on Malaria Research and Control (5 papers), Diabetes Management and Research (4 papers) and Pancreatic function and diabetes (3 papers). John R. Barber collaborates with scholars based in United States, United Kingdom and Malawi. John R. Barber's co-authors include Matthew Nelson, Ann-Charlotte Granholm, Christopher B. Eckman, Heather A. Bimonte‐Nelson, Dipesh P Gopal, Mark B. Coventry, John R. McDonald, Sophie Park, Anita Berlin and Faye Gishen and has published in prestigious journals such as Diabetes Care, Journal of Bone and Joint Surgery and Clinical Infectious Diseases.

In The Last Decade

John R. Barber

16 papers receiving 316 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John R. Barber 77 55 43 42 41 20 328
Michael Davenport 70 0.9× 44 0.8× 28 0.7× 20 0.5× 52 1.3× 22 284
A. Rod 97 1.3× 41 0.7× 38 0.9× 49 1.2× 13 0.3× 18 279
Khadija Lahlou‐Laforêt 38 0.5× 16 0.3× 56 1.3× 15 0.4× 11 0.3× 21 353
James S. Brown 48 0.6× 9 0.2× 24 0.6× 60 1.4× 11 0.3× 21 335
Liang Huo 18 0.2× 40 0.7× 29 0.7× 10 0.2× 111 2.7× 22 345
Marta Caretto 91 1.2× 19 0.3× 24 0.6× 48 1.1× 24 0.6× 28 327
Zeeshan Butt 13 0.2× 26 0.5× 14 0.3× 74 1.8× 44 1.1× 22 306
Shir Azrielant 33 0.4× 15 0.3× 34 0.8× 38 0.9× 13 0.3× 16 342
Artemis Gika 37 0.5× 3 0.1× 29 0.7× 35 0.8× 27 0.7× 13 258
Leah Miller 15 0.2× 53 1.0× 24 0.6× 35 0.8× 82 2.0× 10 360

Countries citing papers authored by John R. Barber

Since Specialization
Citations

This map shows the geographic impact of John R. Barber's research. 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 John R. Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Barber more than expected).

Fields of papers citing papers by John R. Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Barber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John R. Barber. The network helps show where John R. Barber may publish in the future.

Co-authorship network of co-authors of John R. Barber

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Barber. A scholar is included among the top collaborators of John R. Barber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John R. Barber. John R. Barber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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