Chan C. Whiting

1.4k citations
32 papers · 823 · h-index 13

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 8

Chan C. Whiting

32 papers receiving 791 citations

Peers

Chan C. Whiting
Comparison fields: 5 of 88
  • Immunology 328
  • Genetics 281
  • Endocrinology, Diabetes and Metabolism 160
  • Biotechnology 73
  • Oncology 157
Replace Snehal Naik with:
Snehal Naik United States
Dieter Rondas Belgium
Shingo Eikawa Japan
Milena Rozenberg Israel
Kiichi Murakami Canada
Masaji Kikukawa Japan
Christa Burger Germany
Nathan Ungerleider United States
Jean Charles Dagorn France
Hélène Cohen France
Chan C. Whiting relative to Snehal Naik United States Snehal Naik's profile →
Citations per field
00.5×5.6×
Snehal Naik · 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 2005242
2 201988
3 201576
4 201054
5 201544
6 201043
7 200842
8 201739
9 201336
10 201024
11 202320
12 201418
13 202017
14 202411
15 201611
16 20079
17 20159
18 20077
19 20064
20 20224

About Chan C. Whiting

Chan C. Whiting is a scholar working on Genetics, Surgery, Immunology, Biotechnology and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 823 indexed citations. Recurring topics across this work include Diabetes and associated disorders (9 papers), Pancreatic function and diabetes (8 papers), Cancer Research and Treatments (8 papers), Diabetes Management and Research (5 papers), T-cell and B-cell Immunology (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (328 citations), Genetics (281 citations), Endocrinology, Diabetes and Metabolism (160 citations), Biotechnology (73 citations) and Oncology (157 citations). Chan C. Whiting has collaborated with scholars based in United States, France and Taiwan. Frequent co-authors include Huub T. C. Kreuwel, Saroja Ramanujan, Lisl K.M. Shoda, Mark A. Atkinson, Jeffrey A. Bluestone, Diane Mathis, C. Garrison Fathman, Daniel L. Young, Aldo A. Rossini and Richard Kahn. 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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