David W. Seybert

1.1k citations
21 papers · 945 indexed · h-index 15

Impact in

Papers in

David W. Seybert

21 papers receiving 874 citations

Peers

David W. Seybert
Comparison fields: 5 of 83
  • Pharmacology 360
  • Endocrinology, Diabetes and Metabolism 285
  • Cell Biology 218
  • Biochemistry 74
  • Molecular Biology 551
Replace Atsuo Hiwatashi with:
Atsuo Hiwatashi Japan
H. Shimada Japan
Karl Dus United States
Katsuko Suhara Japan
Hideo Shimada Japan
Lois Geren United States
Heinz Schleyer United States
Ramakrishna Seethala United States
Richard E. Ebel United States
Kenji Aki Japan
David W. Seybert relative to Atsuo Hiwatashi Japan Atsuo Hiwatashi's profile →
Citations per field
00.5×12×
Atsuo Hiwatashi · 1×
Citations per year

Countries citing papers authored by David W. Seybert

Since Specialization
Citations

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

Fields of papers citing papers by David W. Seybert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Seybert. 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 David W. Seybert. The network helps show where David W. Seybert may publish in the future.

Co-authors

The 14 scholars most cited alongside David W. Seybert, 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 David W. Seybert Line = papers co-authored together David W. Seybert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 19988
2 199751
3 19955
4 19921
5 199016
6 19904
7 19881
8 1982159
9 198067
10 198083
11 1979115
12 1979151
13 197983
14 197844
15 197716
16 197724
17 197635
18 197613
19 197517
20 197514

About David W. Seybert

David W. Seybert is a scholar working on Pharmacology, Clinical Biochemistry, Cell Biology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 21 papers that have together received 945 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Hemoglobin structure and function (7 papers), Hormonal Regulation and Hypertension (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mitochondrial Function and Pathology (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Metabolism and Genetic Disorders (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Pharmacology (360 citations), Endocrinology, Diabetes and Metabolism (285 citations), Cell Biology (218 citations), Biochemistry (74 citations) and Molecular Biology (551 citations). David W. Seybert has collaborated with scholars based in United States. Frequent co-authors include J. David Lambeth, Henry Kamin, Keith Moffat, Jack R. Lancaster, John C. Salerno, James F. Deatherage, Quentin Gibson, Chi K. Chang, J. P. Spoonhower and George P. Hess. Their work appears in journals such as Journal of Biological Chemistry, Science, Journal of Molecular Biology, Biochemical and Biophysical Research Communications and Pharmaceutical 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026