Daniel A. Kane

3.0k citations
24 papers · 2.4k indexed · 1 hit paper · h-index 17

Daniel A. Kane

23 papers receiving 2.3k citations

Hit Papers

Mitochondrial H2O2 emission and cellular redox state link...9932009202620142020250500750

Peers

Daniel A. Kane
Comparison fields: 5 of 118
  • Physiology 1.2k
  • Rehabilitation 172
  • Cell Biology 392
  • Complementary and alternative medicine 192
  • Molecular Biology 1.3k
Replace Chien‐Te Lin with:
Chien‐Te Lin United States
Kristen E. Boyle United States
Jacob Jeppesen Denmark
Chad R. Hancock United States
Katsuhiko Funai United States
Elizabeth V. Menshikova United States
Raynald Bergeron Canada
Nathan Qi United States
Lykke Sylow Denmark
Hervé Dubouchaud France
Daniel A. Kane relative to Chien‐Te Lin United States Chien‐Te Lin's profile →
Citations per field
00.5×1.5×
Chien‐Te Lin · 1×
Citations per year

Countries citing papers authored by Daniel A. Kane

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Kane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Kane. 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 Daniel A. Kane. The network helps show where Daniel A. Kane may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 2020126
4 201844
5 2018309
6 20182
7 20177
8 20163
9 201536
10 201420
11 201494
12 20137
13 201336
14 201267
15 201190
16 2011147
17 201088
18 201021
19
Mitochondrial H2O2 emission and cellular redox state link excess fat intake to insulin resistance in both rodents and humansbreakdown →
2009993
20 19991

About Daniel A. Kane

Daniel A. Kane is a scholar working on Clinical Biochemistry, Physiology, Behavioral Neuroscience, Molecular Biology and Cell Biology, having authored 24 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (12 papers), Adipose Tissue and Metabolism (10 papers), Cancer, Hypoxia, and Metabolism (3 papers), ATP Synthase and ATPases Research (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Physiology (1.2k citations), Rehabilitation (172 citations), Cell Biology (392 citations), Complementary and alternative medicine (192 citations) and Molecular Biology (1.3k citations). Daniel A. Kane has collaborated with scholars based in Canada, United States and Serbia. Frequent co-authors include P. Darrell Neufer, Ethan J. Anderson, Chien‐Te Lin, Ronald N. Cortright, Tracey Woodlief, Jesse W. Price, L. Bruce Gladden, Matthew L. Goodwin, Li Kang and Peter S. Rabinovitch. Their work appears in journals such as Frontiers in Neuroscience, Biochemical Journal, Free Radical Biology and Medicine, The Journal of Physiology and Endocrinology.

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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