DeWitt Stetten

5.4k citations
81 papers · 1.9k · h-index 25

Impact in

Papers in

    • Enzyme function and inhibition 8
    • Enzyme Catalysis and Immobilization 4
    • Diet and metabolism studies 7
    • Adipose Tissue and Metabolism 5

DeWitt Stetten

77 papers receiving 1.5k citations

Peers

DeWitt Stetten
Comparison fields: 5 of 142
  • Clinical Biochemistry 278
  • Nephrology 228
  • Biochemistry 133
  • Endocrinology, Diabetes and Metabolism 289
  • Physiology 363
Replace D. S. Parsons with:
D. S. Parsons United Kingdom
R. W. E. Watts United Kingdom
Abraham Saifer United States
Clark J. Gubler United States
C. Entenman United States
Michael J. Coady Canada
Kurt I. Altman United States
Hideji Fujiwara United States
L Simchowitz United States
Akiharu Watanabe Japan
DeWitt Stetten relative to D. S. Parsons United Kingdom D. S. Parsons's profile →
Citations per field
00.5×1.5×2.4×
D. S. Parsons · 1×
Citations per year

Countries citing papers authored by DeWitt Stetten

Since Specialization
Citations

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

Fields of papers citing papers by DeWitt Stetten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1960152
2 1953119
3 1953117
4 195691
5 195989
6
Incorporation of glycine nitrogen into uric acid in normal and gouty man.
195289
7 195973
8 195170
9 195263
10 195557
11 195154
12 195854
13 195550
14 196348
15 195347
16 195445
17 195344
18 195542
19 195341
20 196036

About DeWitt Stetten

DeWitt Stetten is a scholar working on Molecular Biology, Physiology, Nephrology, Clinical Biochemistry and Surgery, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (11 papers), Metabolism and Genetic Disorders (10 papers), Enzyme function and inhibition (8 papers), Diet and metabolism studies (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Diet, Metabolism, and Disease (6 papers), Adipose Tissue and Metabolism (5 papers) and Enzyme Catalysis and Immobilization (4 papers). The work is most often cited by research in Clinical Biochemistry (278 citations), Nephrology (228 citations), Biochemistry (133 citations), Endocrinology, Diabetes and Metabolism (289 citations) and Physiology (363 citations). DeWitt Stetten has collaborated with scholars based in United States, Poland and Netherlands. Frequent co-authors include Marjorie R. Stetten, Ben Bloom, Frank Tietze, Yale J. Topper, Jean D. Benedict, John Z. Hearon, James B. Field, Erving H. Morley, Dwight J. Ingle and Howard M. Katzen. Their work appears in journals such as Journal of Biological Chemistry, Science, The American Journal of Medicine, Diabetes and Journal of Clinical Investigation.

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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