Fred Cohen

63 papers receiving 3.0k citations

Fred Cohen's Hit Papers

Predicted alpha-helical regions of the prion protein when synthesized as peptides form amyloid. 1992 · 282 citations
2820+11+22Years since publication50100150200250

Peers

Fred Cohen
Comparison fields: 5 of 135
  • Cell Biology 641
  • Virology 177
  • Molecular Biology 2.4k
  • Cellular and Molecular Neuroscience 354
  • Neurology 151
Replace Ramiro Massol with:
Ramiro Massol United States
Linda K. Nicholson United States
Eric W. Hewitt United Kingdom
James M. Rini Canada
Joachim Behlke Germany
Ulrich Certa Switzerland
John H. Connor United States
Qiu‐Xing Jiang United States
Masaaki Matsushima Japan
Lee Gehrke United States
Fred Cohen relative to Ramiro Massol United States Ramiro Massol's profile →
Citations per field
00.5×1.5×
Ramiro Massol · 1×
Citations per year

Countries citing papers authored by Fred Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Fred Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred Cohen. 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 Fred Cohen. The network helps show where Fred Cohen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predicted alpha-helical regions of the prion protein when synthesized as peptides form amyloid.
Hit paper breakdown →
1992282
2 2004245
3 1987228
4 1995205
5 1980180
6 1995169
7 1986148
8 1980111
9 2006100
10 198498
11 198473
12 199070
13 198368
14 199067
15 199565
16 201263
17 200359
18 200457
19 198756
20 199154

About Fred Cohen

Fred Cohen is a scholar working on Molecular Biology, Psychiatry and Mental health, Physiology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 70 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (31 papers), Migraine and Headache Studies (12 papers), Ion channel regulation and function (9 papers), RNA and protein synthesis mechanisms (9 papers), Cellular transport and secretion (7 papers), Trigeminal Neuralgia and Treatments (6 papers), Bacterial Genetics and Biotechnology (5 papers) and Influenza Virus Research Studies (5 papers). The work is most often cited by research in Cell Biology (641 citations), Virology (177 citations), Molecular Biology (2.4k citations), Cellular and Molecular Neuroscience (354 citations) and Neurology (151 citations). Fred Cohen has collaborated with scholars based in United States, Russia and France. Frequent co-authors include Grigory B. Melikyan, Joshua Zimmerberg, Walter D. Niles, Alexei V. Finkelstein, William A. Cramer, Judith M. White, Myles H. Akabas, M. J. Curran, Malcolm S. Brodwick and William Cramer. Their work appears in journals such as The Journal of General Physiology, Biophysical Journal, Headache The Journal of Head and Face Pain, Journal of Biological Chemistry and The Journal of Cell Biology.

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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