Michael C. Levin

87 papers receiving 2.5k citations

Peers

Michael C. Levin
Comparison fields: 5 of 103
  • Immunology 856
  • Agronomy and Crop Science 357
  • Pathology and Forensic Medicine 405
  • Behavioral Neuroscience 80
  • Endocrine and Autonomic Systems 119
Replace Yoshikuni Tanioka with:
Yoshikuni Tanioka Japan
S L Hauser United States
Ute Traugott United States
Anders Svenningsson Sweden
Guck T. Ooi United States
O. Lyon‐Caen France
David H. Mattson United States
Ameae M. Walker United States
Masaaki Niino Japan
Hugo Vankelecom Belgium
Michael C. Levin relative to Yoshikuni Tanioka Japan Yoshikuni Tanioka's profile →
Citations per field
00.5×9.1×
Yoshikuni Tanioka · 1×
Citations per year

Countries citing papers authored by Michael C. Levin

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Levin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999256
2 2002205
3 1987166
4 1995148
5 2003137
6 1998100
7 202184
8 202081
9 200479
10 199365
11 199765
12 199764
13 199860
14 199853
15 201145
16 202140
17 200239
18 201438
19 201838
20 202033

About Michael C. Levin

Michael C. Levin is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics, having authored 92 papers that have together received 2.6k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (26 papers), Multiple Sclerosis Research Studies (23 papers), RNA Research and Splicing (19 papers), Viral Infections and Immunology Research (19 papers), Vector-Borne Animal Diseases (14 papers), RNA regulation and disease (12 papers), Animal Disease Management and Epidemiology (12 papers) and Neurogenetic and Muscular Disorders Research (4 papers). The work is most often cited by research in Immunology (856 citations), Agronomy and Crop Science (357 citations), Pathology and Forensic Medicine (405 citations), Behavioral Neuroscience (80 citations) and Endocrine and Autonomic Systems (119 citations). Michael C. Levin has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Hannah E. Salapa, Steven Jacobson, Paul E. Sawchenko, Yvette Morcos, Patricia A. Thibault, Lidia A. Gardner, Joseph-Patrick W. E. Clarke, Tanya Lehky, Peter R.C. Howe and Stephen R. Bloom. Their work appears in journals such as Neurology, Journal of Neuroimmunology, Annals of Neurology, International Journal of MS Care and Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

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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