Christopher M. Chambers

673 citations
23 papers · 568 · h-index 13

Impact in

Papers in

Christopher M. Chambers

22 papers receiving 535 citations

Peers

Christopher M. Chambers
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 112
  • Surgery 284
  • Cancer Research 78
  • Gastroenterology 26
  • Internal Medicine 11
Replace Ian J. Cartwright with:
Ian J. Cartwright United Kingdom
Shunichi Takiguchi Japan
Ashwani Kapoor United States
Ann‐Margret Östlund‐Lindqvist Sweden
Ruolan Dong China
Lay T. Gan Australia
Remy L. Yunker United States
Irene Pierantonelli Italy
Saori Abe Japan
Andreas Sourlas Greece
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Citations per field
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Citations per year

Countries citing papers authored by Christopher M. Chambers

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Chambers. 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 Christopher M. Chambers. The network helps show where Christopher M. Chambers may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000141
2 199887
3 199859
4 199835
5 200527
6 199725
7 200024
8 200523
9 199722
10 201721
11 199818
12 201517
13 201613
14 201112
15 199810
16 19979
17 19968
18 20138
19 20164
20 20123

About Christopher M. Chambers

Christopher M. Chambers is a scholar working on Computational Theory and Mathematics, Surgery, Pulmonary and Respiratory Medicine, Molecular Biology and Small Animals, having authored 23 papers that have together received 568 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), Cholesterol and Lipid Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Computational Drug Discovery Methods (5 papers), Plant biochemistry and biosynthesis (4 papers), Aortic aneurysm repair treatments (3 papers), Aortic Disease and Treatment Approaches (3 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (112 citations), Surgery (284 citations), Cancer Research (78 citations), Gastroenterology (26 citations) and Internal Medicine (11 citations). Christopher M. Chambers has collaborated with scholars based in United States. Frequent co-authors include Gene Charles Ness, Dayami Lopez, H. James Harwood, Catherine Long, John A. Curci, Peter Klaus Cornelius, William Newsome, Robert F. Cuff, Peter Yih-Jiun Wong and R. Kennedy Keller. Their work appears in journals such as Archives of Biochemistry and Biophysics, The American Journal of Surgery, Journal of Vascular Surgery, Biochemical and Biophysical Research Communications and Journal of Lipid Research.

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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