Steven Chessler

1.2k citations
30 papers · 928 · h-index 16

Impact in

Papers in

    • Pancreatic function and diabetes 16
    • Diabetes and associated disorders 8
    • Connective tissue disorders research 4
    • Genetics and Neurodevelopmental Disorders 4

Steven Chessler

30 papers receiving 911 citations

Peers

Steven Chessler
Comparison fields: 5 of 91
  • Endocrine and Autonomic Systems 148
  • Genetics 299
  • Cell Biology 165
  • Immunology and Allergy 48
  • Endocrinology, Diabetes and Metabolism 116
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Citations per field
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Citations per year

Countries citing papers authored by Steven Chessler

Since Specialization
Citations

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

Fields of papers citing papers by Steven Chessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Chessler. 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 Steven Chessler. The network helps show where Steven Chessler may publish in the future.

Co-authors

The 25 scholars most cited alongside Steven Chessler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steven Chessler Line = papers co-authored together Steven Chessler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993130
2 1999121
3 1995113
4 199875
5 199368
6 200858
7 199257
8 200033
9 202230
10 200229
11 201228
12 201224
13 200716
14 200616
15 201616
16 201315
17 202214
18 201512
19 199812
20 201710

About Steven Chessler

Steven Chessler is a scholar working on Surgery, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 30 papers that have together received 928 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (16 papers), Diabetes and associated disorders (8 papers), Regulation of Appetite and Obesity (5 papers), Connective tissue disorders research (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Diabetes Management and Research (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (148 citations), Genetics (299 citations), Cell Biology (165 citations), Immunology and Allergy (48 citations) and Endocrinology, Diabetes and Metabolism (116 citations). Steven Chessler has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Peter H. Byers, Jane B. Shofer, David S. Weigle, Edward J. Boyko, Arthur T. Suckow, Gillian A. Wallis, Åke Lernmark, Marguerite J. McNeely, W. Y. Fujimoto and Wilfred Y. Fujimoto. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Endocrinology, Journal of Visualized Experiments and American Journal of Physiology-Endocrinology and Metabolism.

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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