F. Finkelman

435 citations
11 papers · 367 · h-index 11

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 4
    • Protein purification and stability 1
    • Cellular Mechanics and Interactions 3
    • Muscle metabolism and nutrition 1

F. Finkelman

11 papers receiving 324 citations

Peers

F. Finkelman
Comparison fields: 5 of 70
  • Cell Biology 140
  • Cardiology and Cardiovascular Medicine 103
  • Pathology and Forensic Medicine 81
  • Animal Science and Zoology 40
  • Biochemistry 27
Replace M Zydowo with:
M Zydowo Poland
Rothschild Ma Germany
Junko Yoshimura Japan
G. B. Chernousova Estonia
Howard D. Sirak United States
Jocelyn W. Dow United Kingdom
Richard L. McCarl United States
V A Saks Estonia
Edward P. Bornet United States
Philip I. Polimeni Canada
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Citations per field
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Citations per year

Countries citing papers authored by F. Finkelman

Since Specialization
Citations

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

Fields of papers citing papers by F. Finkelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside F. Finkelman, 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 F. Finkelman Line = papers co-authored together F. Finkelman links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 198076
2 196273
3 196157
4 196229
5 196127
6
Effects of ethanol on hepatic protein secretion and microtubules. Possible mediation by acetaldehyde.
198127
7 198522
8 196317
9 198315
10 196414
11
Reevaluation of the effects of alcohol consumption on rat liver microtubules: effects of feeding status.
198410

About F. Finkelman

F. Finkelman is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Biochemistry, having authored 11 papers that have together received 367 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (4 papers), Cardiomyopathy and Myosin Studies (3 papers), Cellular Mechanics and Interactions (3 papers), Alcohol Consumption and Health Effects (2 papers), Protein purification and stability (1 paper), Fatty Acid Research and Health (1 paper), Meat and Animal Product Quality (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Cell Biology (140 citations), Cardiology and Cardiovascular Medicine (103 citations), Pathology and Forensic Medicine (81 citations), Animal Science and Zoology (40 citations) and Biochemistry (27 citations). F. Finkelman has collaborated with scholars based in United States and Japan. Frequent co-authors include Michael Bárány, Enrique Baraona, Charles S. Lieber, Andreas Chrambach, Pekka Pikkarainen, Mikko Salaspuro, Béla Nagy, Yoshiro Matsuda, Lieber Cs and P Pikkarainen. Their work appears in journals such as Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Analytical Biochemistry, Gastroenterology and Alcoholism Clinical and Experimental 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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