Randy Nelson

25 papers receiving 1.2k citations

Peers

Randy Nelson
Comparison fields: 5 of 103
  • Biochemistry 165
  • Hematology 189
  • Molecular Biology 551
  • Genetics 84
  • Epidemiology 260
Replace Yu Gu with:
Yu Gu China
Jan Fleckner Denmark
Leonardo A. Moraes United Kingdom
M K Offermann United States
Sudha Ananth United States
Yang‐Ming Yang United States
Puran S. Bora United States
Hugues Chap France
Tomoko Nishimaki‐Mogami Japan
Xiao Xu United States
Randy Nelson relative to Yu Gu China Yu Gu's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Randy Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Randy Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007335
2 2010147
3 2012116
4 2003101
5 200870
6 198864
7
Action of long-chain fatty acids on protein kinase C activity: comparison of omega-6 and omega-3 fatty acids.
199250
8 201347
9 200640
10 200936
11 201135
12 201634
13 200832
14 201327
15 199927
16 201314
17 201914
18
On-line Estimation of Visual-Motor Models using Active Vision
199612
19 19839
20 19897

About Randy Nelson

Randy Nelson is a scholar working on Molecular Biology, Physiology, Epidemiology, Biochemistry and Immunology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (6 papers), Adipose Tissue and Metabolism (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Pancreatic function and diabetes (3 papers), Diet, Metabolism, and Disease (3 papers), Cancer, Lipids, and Metabolism (3 papers), T-cell and Retrovirus Studies (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Biochemistry (165 citations), Hematology (189 citations), Molecular Biology (551 citations), Genetics (84 citations) and Epidemiology (260 citations). Randy Nelson has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Richard Lehner, Allan G. Murray, Vikram Misra, Spencer D. Proctor, Oksana Holian, Jean E. Vance, Arikketh Devi, S. J. Morgan, Glenn A. Reinhart and Morey L. Smith. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, The FASEB Journal, Journal of Lipid Research, Journal of Biological Chemistry and Cell Metabolism.

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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