Gene C. Ness

80 papers receiving 2.8k citations

Peers

Gene C. Ness
Comparison fields: 5 of 105
  • Biochemistry 309
  • Endocrinology, Diabetes and Metabolism 702
  • Surgery 1.2k
  • Cancer Research 359
  • Molecular Biology 1.4k
Replace Vaijinath S. Kamanna with:
Vaijinath S. Kamanna United States
L. Karl Olson United States
Érik Joly Canada
Marta Alegret Spain
Fatiha Nassir United States
Michiyo Amemiya-Kudo Japan
Josep Julve Spain
Judy Fenyk‐Melody United States
Christopher J. Walkey Canada
John Ventre United States
Gene C. Ness relative to Vaijinath S. Kamanna United States Vaijinath S. Kamanna's profile →
Citations per field
00.5×1.5×
Vaijinath S. Kamanna · 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-authorship network

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
#Work
1 201529
2 20124
3 200960
4 2008183
5 200879
6 2007101
7 200521
8 200315
9 20032
10 199835
11 199810
12 199818
13 199725
14 199726
15 19958
16 199428
17 199437
18 19925
19 199225
20 1974142

About Gene C. Ness

Gene C. Ness is a scholar working on Biochemistry, Clinical Biochemistry, Cell Biology, Surgery and Molecular Biology, having authored 80 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (32 papers), Peroxisome Proliferator-Activated Receptors (21 papers), Plant biochemistry and biosynthesis (17 papers), Lipoproteins and Cardiovascular Health (12 papers), Cancer, Lipids, and Metabolism (10 papers), Muscle metabolism and nutrition (9 papers), Adipose Tissue and Metabolism (9 papers) and Metabolism and Genetic Disorders (8 papers). The work is most often cited by research in Biochemistry (309 citations), Endocrinology, Diabetes and Metabolism (702 citations), Surgery (1.2k citations), Cancer Research (359 citations) and Molecular Biology (1.4k 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, Carl M. Nepokroeff, M.R. Lakshmanan, Laura C. Pendleton, Richard E. Dugan, Xiaomei Liang, Min You and Joanne M. Ajmo. Their work appears in journals such as Archives of Biochemistry and Biophysics, Biochemical and Biophysical Research Communications, Experimental Biology and Medicine, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Gastroenterology.

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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