Chan C. Whiting

1.4k citations
32 papers · 842 · h-index 14

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Genetics top 10%
    • Diabetes and associated disorders

Papers in

    • Diabetes and associated disorders 9
    • Pancreatic function and diabetes 7

Chan C. Whiting

32 papers receiving 811 citations

Peers

Chan C. Whiting
Comparison fields: 5 of 83
  • Immunology 307
  • Genetics 267
  • Endocrinology, Diabetes and Metabolism 141
  • Biotechnology 70
  • Oncology 145
Replace Dieter Rondas with:
Dieter Rondas Belgium
Milena Rozenberg Israel
E.F. Rehberg United States
Yuping Chen China
Geming Lu United States
O. Guy‐Crotte France
Mitsutaka Sawada Japan
Jenny Freitag Germany
Elizabeth A. Saria United States
Masaji Kikukawa Japan
Chan C. Whiting relative to Dieter Rondas Belgium Dieter Rondas's profile →
Citations per field
00.5×3.4×
Dieter Rondas · 1×
Citations per year

Countries citing papers authored by Chan C. Whiting

Since Specialization
Citations

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

Fields of papers citing papers by Chan C. Whiting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan C. Whiting. 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 Chan C. Whiting. The network helps show where Chan C. Whiting may publish in the future.

Co-authors

The 25 scholars most cited alongside Chan C. Whiting, 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 Chan C. Whiting Line = papers co-authored together Chan C. Whiting links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005243
2 201993
3 201577
4 201054
5 201544
6 201043
7 200843
8 201739
9 201336
10 201024
11 202323
12 201418
13 202018
14 202414
15 201511
16 201611
17 20079
18 20077
19 20064
20 20224

About Chan C. Whiting

Chan C. Whiting is a scholar working on Genetics, Surgery, Immunology, Biotechnology and Oncology, having authored 32 papers that have together received 842 indexed citations. Recurring topics across this work include Diabetes and associated disorders (9 papers), Cancer Research and Treatments (7 papers), Pancreatic function and diabetes (7 papers), Diabetes Management and Research (4 papers), T-cell and B-cell Immunology (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Immunology (307 citations), Genetics (267 citations), Endocrinology, Diabetes and Metabolism (141 citations), Biotechnology (70 citations) and Oncology (145 citations). Chan C. Whiting has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Lisl K.M. Shoda, Saroja Ramanujan, Huub T. C. Kreuwel, Diane Mathis, Mark A. Atkinson, Jeffrey A. Bluestone, C. Garrison Fathman, Daniel L. Young, Scott E. Campbell and Aldo A. Rossini. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Diabetes, Annals of the New York Academy of Sciences and Clinical Immunology.

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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