S. Ratner

4.5k citations
52 papers · 1.9k · h-index 25

Impact in

Papers in

    • Enzyme function and inhibition 10
    • Polyamine Metabolism and Applications 9
    • Metabolomics and Mass Spectrometry Studies 4
    • Muscle metabolism and nutrition 18

S. Ratner

52 papers receiving 1.6k citations

Peers

S. Ratner
Comparison fields: 5 of 99
  • Biochemistry 662
  • Clinical Biochemistry 499
  • Cell Biology 446
  • Animal Science and Zoology 204
  • Physiology 427
Replace Edmund C.C. Lin with:
Edmund C.C. Lin United States
Samuel B. Weiss United States
Harold J. Strecker United States
Harold L. Segal United States
RMC Dawson Italy
David P. Bloxham United Kingdom
E. Klenk Germany
Huei-Che Chang United States
Robert Y. Hsu United States
C. Long United Kingdom
S. Ratner relative to Edmund C.C. Lin United States Edmund C.C. Lin's profile →
Citations per field
00.5×2×3.0×
Edmund C.C. Lin · 1×
Citations per year

Countries citing papers authored by S. Ratner

Since Specialization
Citations

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

Fields of papers citing papers by S. Ratner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside S. Ratner, 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 S. Ratner Line = papers co-authored together S. Ratner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1963187
2 1973154
3 1953102
4 195398
5 196097
6 196596
7 196394
8 195589
9 195377
10 195369
11 196761
12 195653
13 196052
14 197747
15 195644
16 195144
17 197042
18 195739
19 196638
20 197237

About S. Ratner

S. Ratner is a scholar working on Molecular Biology, Cell Biology, Biochemistry, Clinical Biochemistry and Physiology, having authored 52 papers that have together received 1.9k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (20 papers), Muscle metabolism and nutrition (18 papers), Metabolism and Genetic Disorders (17 papers), Enzyme function and inhibition (10 papers), Polyamine Metabolism and Applications (9 papers), Biochemical effects in animals (7 papers), Nitric Oxide and Endothelin Effects (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Biochemistry (662 citations), Clinical Biochemistry (499 citations), Cell Biology (446 citations), Animal Science and Zoology (204 citations) and Physiology (427 citations). S. Ratner has collaborated with scholars based in United States and Canada. Frequent co-authors include Barbara Petrack, Hadassah Tamir, Olga Rochovansky, Robert C. Warner, C J Lusty, W. Parker Anslow, Evelyn Carvalho, Evelyn A. Havir, Kimiko Murakami‐Murofushi and Irene T. Schulze. Their work appears in journals such as Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, Methods in enzymology on CD-ROM/Methods in enzymology, Analytical Biochemistry and Proceedings of the National Academy of Sciences.

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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