DeWitt Stetten

5.4k citations
86 papers · 2.2k · h-index 26

Impact in

Papers in

    • Enzyme function and inhibition 8
    • Biochemical and Molecular Research 4
    • Diet and metabolism studies 7
    • Adipose Tissue and Metabolism 5

DeWitt Stetten

79 papers receiving 1.6k citations

Peers

DeWitt Stetten
Comparison fields: 5 of 143
  • Clinical Biochemistry 326
  • Nephrology 243
  • Biochemistry 193
  • Endocrinology, Diabetes and Metabolism 328
  • Physiology 395
Replace D. S. Parsons with:
D. S. Parsons United Kingdom
Clark J. Gubler United States
Abraham Saifer United States
Oddvar Stokke Norway
R.G. Hansen United States
William N. Fishbein United States
George A. Kimmich United States
H. J. Hohorst Germany
L. I. Woolf United Kingdom
Koichi Itaya Japan
DeWitt Stetten relative to D. S. Parsons United Kingdom D. S. Parsons's profile →
Citations per field
00.5×2×2.6×
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 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1960174
2 1953132
3 1953130
4 195698
5
Incorporation of glycine nitrogen into uric acid in normal and gouty man.
195297
6 195997
7 195978
8 195175
9 195271
10 195564
11 195359
12 196358
13 195158
14 195557
15 195856
16 195355
17 195353
18 195546
19 195446
20 195645

About DeWitt Stetten

DeWitt Stetten is a scholar working on Molecular Biology, Physiology, Nephrology, Clinical Biochemistry and Surgery, having authored 86 papers that have together received 2.2k 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), Liver Disease Diagnosis and Treatment (7 papers), Diet and metabolism studies (7 papers), Diet, Metabolism, and Disease (6 papers), Adipose Tissue and Metabolism (5 papers) and Biochemical and Molecular Research (4 papers). The work is most often cited by research in Clinical Biochemistry (326 citations), Nephrology (243 citations), Biochemistry (193 citations), Endocrinology, Diabetes and Metabolism (328 citations) and Physiology (395 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, James B. Field, Yale J. Topper, Jean D. Benedict, Erving H. Morley, Dwight J. Ingle, John Z. Hearon and Howard M. Katzen. Their work appears in journals such as Journal of Biological Chemistry, Science, The American Journal of Medicine, Journal of Clinical Investigation and Diabetes.

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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