J.C. Clevers

435 citations
9 papers · 355 · h-index 6

Impact in

Papers in

J.C. Clevers

9 papers receiving 354 citations

Peers

J.C. Clevers
Comparison fields: 5 of 42
  • Endocrine and Autonomic Systems 129
  • Cardiology and Cardiovascular Medicine 220
  • Cellular and Molecular Neuroscience 101
  • Social Psychology 98
  • Behavioral Neuroscience 16
Replace Marilyn M. Robinson with:
Marilyn M. Robinson Canada
H. Muratani Japan
Annette Veltmar Germany
Takeshi Saigusa Japan
Gudrun Demmert Germany
David L. Saylor United States
Scott E. Emmert United States
L. E. Ohman United States
Jenny Penschow Australia
R Król Canada
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 198896
2 198883
3 198654
4 198754
5 198744
6 198914
7
At the crossroads of inflammation and cancer
20044
8
A gene family of HMG box factors with homology to TCF-1
19924
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 355 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), Thyroid Disorders and Treatments (1 paper), Pain Mechanisms and Treatments (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Electrolyte and hormonal disorders (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (129 citations), Cardiology and Cardiovascular Medicine (220 citations), Cellular and Molecular Neuroscience (101 citations), Social Psychology (98 citations) and Behavioral Neuroscience (16 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 William J. Louis. Their work appears in journals such as The Journal of Comparative Neurology, Brain Research, Hypertension, Cell and Nucleic Acids 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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