Sam Berkman

1.2k citations
11 papers · 868 · 1 hit paper · h-index 8

Impact in

Papers in

Sam Berkman

10 papers receiving 719 citations

Sam Berkman's Hit Papers

Revised Spectrophotometric Methods for the Determination of Glutamic-Oxalacetic Transaminase, Glutamic-Pyruvic Transaminase, and Lactic Acid Dehydrogenase 1960 · 625 citations
6250+22+44Years since publication200400600

Peers

Sam Berkman
Comparison fields: 5 of 121
  • Pharmacology 146
  • Clinical Biochemistry 77
  • Hepatology 64
  • Small Animals 44
  • Animal Science and Zoology 57
Replace Neil Chiamori with:
Neil Chiamori United States
H. Talke Germany
George E. Phillips United States
Orville J. Golub United States
Joseph I. Routh United States
Harold Grady United States
Elías Amador United States
Philip G. Cabaud United States
Charles Sobel United States
Vincent J. Pileggi United States
Sam Berkman relative to Neil Chiamori United States Neil Chiamori's profile →
Citations per field
00.5×1.5×2.3×
Neil Chiamori · 1×
Citations per year

Countries citing papers authored by Sam Berkman

Since Specialization
Citations

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

Fields of papers citing papers by Sam Berkman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Sam Berkman, 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 Sam Berkman Line = papers co-authored together Sam Berkman links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Revised Spectrophotometric Methods for the Determination of Glutamic-Oxalacetic Transaminase, Glutamic-Pyruvic Transaminase, and Lactic Acid Dehydrogenase
Hit paper breakdown →
1960625
2 1957163
3 195724
4 195313
5 196410
6 19618
7 19568
8 19547
9 19576
10 19533
11 19621

About Sam Berkman

Sam Berkman is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Surgery and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 868 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (3 papers), Metabolism and Genetic Disorders (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Cancer Genomics and Diagnostics (1 paper), Lipid metabolism and disorders (1 paper), Porphyrin Metabolism and Disorders (1 paper), Computational Drug Discovery Methods (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Pharmacology (146 citations), Clinical Biochemistry (77 citations), Hepatology (64 citations), Small Animals (44 citations) and Animal Science and Zoology (57 citations). Sam Berkman has collaborated with scholars based in United States. Frequent co-authors include Richard J. Henry, Orville J. Golub, Neil Chiamori, Charles Sobel, R Henry, M. Segalove, Alberto Alfredo Fernandez and S. Jacobs. Their work appears in journals such as Clinical Chemistry, American Journal of Clinical Pathology, Journal of Bacteriology, Analytical Chemistry and Journal of Biological Chemistry.

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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