G.Larry Cottam

74 papers receiving 1.5k citations

Peers

G.Larry Cottam
Comparison fields: 5 of 110
  • Biochemistry 245
  • Clinical Biochemistry 168
  • Cell Biology 329
  • Physiology 409
  • Genetics 142
Replace R. A. Iles with:
R. A. Iles United Kingdom
F. Mark H. Jeffrey United States
Klaus D. Schnackerz Germany
Z.B. Rose United States
Lawrence P. Aggerbeck France
Lafayette Noda United States
Lisa C. Heather United Kingdom
Scott A. Gabel United States
L.C. Costello United States
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G.Larry Cottam relative to R. A. Iles United Kingdom R. A. Iles's profile →
Citations per field
00.5×3.5×
R. A. Iles · 1×
Citations per year

Countries citing papers authored by G.Larry Cottam

Since Specialization
Citations

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

Fields of papers citing papers by G.Larry Cottam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.Larry Cottam. 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 G.Larry Cottam. The network helps show where G.Larry Cottam may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969138
2 1978133
3 199785
4 196975
5 198274
6 197862
7 197351
8 196949
9 197641
10 198236
11 198234
12 198234
13 197733
14 197532
15 198032
16 198031
17 196830
18 197430
19 199429
20 197929

About G.Larry Cottam

G.Larry Cottam is a scholar working on Molecular Biology, Surgery, Spectroscopy, Physiology and Biochemistry, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (13 papers), Advanced NMR Techniques and Applications (12 papers), Pancreatic function and diabetes (11 papers), NMR spectroscopy and applications (11 papers), Hemoglobin structure and function (10 papers), Metabolism and Genetic Disorders (9 papers), Peptidase Inhibition and Analysis (8 papers) and Neuropeptides and Animal Physiology (8 papers). The work is most often cited by research in Biochemistry (245 citations), Clinical Biochemistry (168 citations), Cell Biology (329 citations), Physiology (409 citations) and Genetics (142 citations). G.Larry Cottam has collaborated with scholars based in United States. Frequent co-authors include Elizabeth R. Hall, Michael R. Waterman, Paul A. Srere, Jun Sasaki, Minor J. Coon, A. Dean Sherry, Paul F. Hollenberg, Hiromi Ishibashi, Christos Cladaras and Bonnie C. Miller. Their work appears in journals such as Archives of Biochemistry and Biophysics, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Advances in experimental medicine and biology and European Journal of Biochemistry.

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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