Jeffrey A. SoRelle

1.6k citations
58 papers · 929 indexed · h-index 18
Topics
Pancreatic function and diabetes (17 papers)SARS-CoV-2 and COVID-19 Research (13 papers)Diabetes Management and Research (11 papers)
Partner nations
United StatesJapanCanada

In The Last Decade

Jeffrey A. SoRelle

56 papers receiving 916 citations

Peers

Jeffrey A. SoRelle
Comparison fields: 5 of 91
  • Surgery 329
  • Infectious Diseases 234
  • Genetics 223
  • Endocrinology, Diabetes and Metabolism 161
  • Molecular Biology 153
Replace Ying Xiang with:
Ying Xiang China
Angela C. Ranzini United States
Javier Carbajo-Lozoya Germany
Ralf L. Schild Germany
Pak‐Chung Ho Hong Kong
Gregory P. Bondy Canada
Francesco Vendrame United States
Chunyan He United States
Mamoun Elawad United Kingdom
P Bouchard France
Jeffrey A. SoRelle relative to Ying Xiang China Ying Xiang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jeffrey A. SoRelle

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey A. SoRelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey A. SoRelle

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey A. SoRelle. A scholar is included among the top collaborators of Jeffrey A. SoRelle 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 A. SoRelle. Jeffrey A. SoRelle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4 4
5 8
6 12
7 2
8 12
9 48
10 12
11 10
12 80
13 46
14 19
15 13
16 33
17 6
18 4
19 7
20 2

About Jeffrey A. SoRelle

Jeffrey A. SoRelle is a scholar working on Infectious Diseases, Endocrinology, Diabetes and Metabolism and Genetics, having authored 58 papers that have together received 929 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (17 papers), SARS-CoV-2 and COVID-19 Research (13 papers) and Diabetes Management and Research (11 papers). The work is most often cited by research in Infectious Diseases (234 citations), Obstetrics and Gynecology (85 citations) and Endocrinology, Diabetes and Metabolism (161 citations). Jeffrey A. SoRelle has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Takeshi Itoh, Marlon F. Levy, Bashoo Naziruddin, Morihito Takita, Daisuke Chujo, Masayuki Shimoda, Koji Sugimoto, Jason Y. Park, Shinichi Matsumoto and Nicholas Onaca. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical Investigation.

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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