David E. Coleman

4.1k citations
56 papers · 3.3k indexed · 2 hit papers · h-index 23

David E. Coleman

53 papers receiving 3.2k citations

Hit Papers

The structure of the G protein heterotrimer Giα1β1γ29501994202620042015250500750

Peers

David E. Coleman
Comparison fields: 5 of 184
  • Molecular Biology 2.2k
  • Cell Biology 462
  • Statistics, Probability and Uncertainty 199
  • Cellular and Molecular Neuroscience 428
  • Aging 29
Replace Ursula Klingmüller with:
Ursula Klingmüller Germany
Sudhir Varma United States
Olaf Wolkenhauer Germany
Ho‐Young Lee South Korea
Ye Chen‐Izu United States
Bert Gunter United States
Gary R. Mirams United Kingdom
Francis J. Doyle United States
Aedín C. Culhane United States
Maurice Whelan Italy
David E. Coleman relative to Ursula Klingmüller Germany Ursula Klingmüller's profile →
Citations per field
00.5×3.8×
Ursula Klingmüller · 1×
Citations per year

Countries citing papers authored by David E. Coleman

Since Specialization
Citations

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

Fields of papers citing papers by David E. Coleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20221
3 200721
4 200625
5 200517
6 20055
7 200328
8 20015
9 20003
10 19999
11 19996
12 199945
13 199912
14 199863
15
Individual Contributions for A Discussion on Statistically-Based process Monitoring and Control
19973
16
The structure of the G protein heterotrimer Giα1β1γ2breakdown →
1995950
17 199444
18 199429
19 1993111
20
Knowledge-Based Statistical Process Control.
19893

About David E. Coleman

David E. Coleman is a scholar working on Bioengineering, Statistics, Probability and Uncertainty, Issues, ethics and legal aspects, Health Informatics and Biochemistry, having authored 56 papers that have together received 3.3k indexed citations. Recurring topics across this work include Enzyme Structure and Function (12 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Analytical Chemistry and Sensors (8 papers), Advanced Statistical Process Monitoring (7 papers), Analytical chemistry methods development (6 papers), Amino Acid Enzymes and Metabolism (5 papers), Analytical Chemistry and Chromatography (5 papers) and Pesticide Residue Analysis and Safety (5 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Cell Biology (462 citations), Statistics, Probability and Uncertainty (199 citations), Cellular and Molecular Neuroscience (428 citations) and Aging (29 citations). David E. Coleman has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Stephen R. Sprang, Alfred G. Gilman, Ethan Lee, Albert M. Berghuis, Jorge A. Iñiguez‐Lluhí, M. A. Wall, Bruce A. Posner, Douglas C. Montgomery, E Lee and Maria C. Linder. Their work appears in journals such as Journal of Chromatography A, Technometrics, Biochemistry, Environmental Science & Technology and Cell.

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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