Jeffrey J. Guterman

40 total papers · 1.1k total citations
32 papers, 809 citations indexed

About

Jeffrey J. Guterman is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Social Psychology. According to data from OpenAlex, Jeffrey J. Guterman has authored 32 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 13 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Social Psychology. Recurrent topics in Jeffrey J. Guterman's work include Diabetes Management and Education (13 papers), Chronic Disease Management Strategies (10 papers) and Mental Health Treatment and Access (9 papers). Jeffrey J. Guterman is often cited by papers focused on Diabetes Management and Education (13 papers), Chronic Disease Management Strategies (10 papers) and Mental Health Treatment and Access (9 papers). Jeffrey J. Guterman collaborates with scholars based in United States, Australia and United Kingdom. Jeffrey J. Guterman's co-authors include Kathleen Ell, Wayne Katon, Pey-Jiuan Lee, Chih-Ping Chou, Bin Xie, Suad Kapetanovic, Shinyi Wu, Kenny Kwong, Tricia Morphew and Pey-Jiuan Lee and has published in prestigious journals such as Diabetes Care, Journal of Allergy and Clinical Immunology and American Journal of Preventive Medicine.

In The Last Decade

Jeffrey J. Guterman

31 papers receiving 773 citations

Author Peers

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

Author Last Decade Papers Cites
Jeffrey J. Guterman 275 274 209 154 105 32 809
Julia A. Dodge 144 0.5× 340 1.2× 117 0.6× 64 0.4× 112 1.1× 25 896
Graham Worrall 201 0.7× 359 1.3× 118 0.6× 90 0.6× 66 0.6× 63 973
Henok Mulugeta 170 0.6× 254 0.9× 153 0.7× 132 0.9× 45 0.4× 56 1.0k
Francesca Brundisini 150 0.5× 235 0.9× 186 0.9× 40 0.3× 51 0.5× 19 749
Rebecca M. Sacks 253 0.9× 457 1.7× 210 1.0× 39 0.3× 79 0.8× 18 887
Jacques ThM. van Eijk 230 0.8× 309 1.1× 238 1.1× 28 0.2× 73 0.7× 13 745
Rose Maljanian 142 0.5× 226 0.8× 57 0.3× 36 0.2× 101 1.0× 36 701
Jan Koetsenruijter 229 0.8× 405 1.5× 213 1.0× 43 0.3× 28 0.3× 42 861
Jeroen De Man 226 0.8× 193 0.7× 113 0.5× 70 0.5× 23 0.2× 46 722
Michael Lebenbaum 134 0.5× 193 0.7× 118 0.6× 102 0.7× 51 0.5× 38 863

Countries citing papers authored by Jeffrey J. Guterman

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey J. Guterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey J. Guterman. 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 Jeffrey J. Guterman. The network helps show where Jeffrey J. Guterman may publish in the future.

Co-authorship network of co-authors of Jeffrey J. Guterman

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey J. Guterman. A scholar is included among the top collaborators of Jeffrey J. Guterman 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 Jeffrey J. Guterman. Jeffrey J. Guterman 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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