J.C. Clevers

435 citations
9 papers · 398 · h-index 6

Impact in

Papers in

J.C. Clevers

9 papers receiving 389 citations

Peers

J.C. Clevers
Comparison fields: 5 of 43
  • Endocrine and Autonomic Systems 142
  • Cardiology and Cardiovascular Medicine 236
  • Cellular and Molecular Neuroscience 117
  • Behavioral Neuroscience 18
  • Social Psychology 108
Replace Marilyn M. Robinson with:
Marilyn M. Robinson Canada
David L.S. Washburn Canada
H. Muratani Japan
Takeshi Saigusa Japan
Annette Veltmar Germany
Scott E. Emmert United States
David L. Saylor United States
J. M. Abrahams Australia
Kiril L. Hristov United States
Keith M. Fairhall United Kingdom
J.C. Clevers relative to Marilyn M. Robinson Canada Marilyn M. Robinson's profile →
Citations per field
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Marilyn M. Robinson · 1×
Citations per year

Countries citing papers authored by J.C. Clevers

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Clevers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside J.C. Clevers, 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 J.C. Clevers Line = papers co-authored together J.C. Clevers links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1988103
2 1988100
3 198764
4 198661
5 198746
6 198914
7
A gene family of HMG box factors with homology to TCF-1
19924
8
At the crossroads of inflammation and cancer
20044
9
T cells in B cell chronic lymphocytic leukaemia. I. Decreased frequency of T lymphocytes secreting suppressor factor.
19862

About J.C. Clevers

J.C. Clevers is a scholar working on Social Psychology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Immunology, having authored 9 papers that have together received 398 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (4 papers), Neuroscience of respiration and sleep (2 papers), Neuropeptides and Animal Physiology (2 papers), Renin-Angiotensin System Studies (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Cancer, Stress, Anesthesia, and Immune Response (1 paper) and Regulation of Appetite and Obesity (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (142 citations), Cardiology and Cardiovascular Medicine (236 citations), Cellular and Molecular Neuroscience (117 citations), Behavioral Neuroscience (18 citations) and Social Psychology (108 citations). J.C. Clevers has collaborated with scholars based in Australia, Sweden and United States. Frequent co-authors include Andrew M. Allen, Michael J. McKinley, George Paxinos, Derek A. Denton, F. A. O. Mendelsohn, Siew Yeen Chai, M. J. McKinley, É. Tarján, Frederick A.O. Mendelsohn and Anthony J.M. Verberne. Their work appears in journals such as Brain Research, The Journal of Comparative Neurology, Nucleic Acids Research, Hypertension and Cell.

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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