Gene C. Ness

80 papers receiving 2.8k citations

Peers

Gene C. Ness
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 648
  • Biochemistry 292
  • Surgery 1.2k
  • Cancer Research 329
  • Geriatrics and Gerontology 68
Replace L. Karl Olson with:
L. Karl Olson United States
Érik Joly Canada
Patrick B. Iynedjian Switzerland
Michiyo Amemiya-Kudo Japan
Judy Fenyk‐Melody United States
Fatiha Nassir United States
Christopher J. Walkey Canada
Josep Julve Spain
Ahmed Bettaieb United States
Hiroyoshi Horikoshi Japan
Gene C. Ness relative to L. Karl Olson United States L. Karl Olson's profile →
Citations per field
00.5×1.7×
L. Karl Olson · 1×
Citations per year

Countries citing papers authored by Gene C. Ness

Since Specialization
Citations

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

Fields of papers citing papers by Gene C. Ness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gene C. Ness. 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 Gene C. Ness. The network helps show where Gene C. Ness may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008184
2 2010176
3 1974142
4 2001136
5 2001136
6 2000135
7 1990132
8 1973103
9 2007103
10 1996100
11 199885
12 199582
13 200879
14 197479
15 200960
16 199855
17 199447
18 197946
19 198145
20 199041

About Gene C. Ness

Gene C. Ness is a scholar working on Molecular Biology, Surgery, Cell Biology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 80 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (31 papers), Peroxisome Proliferator-Activated Receptors (20 papers), Plant biochemistry and biosynthesis (17 papers), Lipoproteins and Cardiovascular Health (12 papers), Muscle metabolism and nutrition (9 papers), Adipose Tissue and Metabolism (9 papers), Cancer, Lipids, and Metabolism (9 papers) and Metabolism and Genetic Disorders (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (648 citations), Biochemistry (292 citations), Surgery (1.2k citations), Cancer Research (329 citations) and Geriatrics and Gerontology (68 citations). Gene C. Ness has collaborated with scholars based in United States, Austria and India. Frequent co-authors include Dayami Lopez, Christopher M. Chambers, John W. Porter, M.R. Lakshmanan, Carl M. Nepokroeff, Laura C. Pendleton, Richard E. Dugan, Xiaomei Liang, Joanne M. Ajmo and Min You. Their work appears in journals such as Archives of Biochemistry and Biophysics, Biochemical and Biophysical Research Communications, Experimental Biology and Medicine, Gastroenterology and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.

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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