J B Li

1.5k citations
8 papers · 1.3k · 1 hit paper · h-index 7

Impact in

Papers in

    • Muscle metabolism and nutrition 7
    • Diet and metabolism studies 4
    • Adipose Tissue and Metabolism 3

J B Li

7 papers receiving 1.2k citations

J B Li's Hit Papers

Effects of insulin, glucose, and amino acids on protein turnover in rat diaphragm. 1975 · 786 citations
7860+17+34Years since publication250500750

Peers

J B Li
Comparison fields: 5 of 81
  • Cell Biology 783
  • Clinical Biochemistry 157
  • Physiology 564
  • Rehabilitation 124
  • Animal Science and Zoology 135
Replace P A MacLennan with:
P A MacLennan United Kingdom
Edward B. Tapscott United States
A. A. Connacher United Kingdom
M. M. Jepson United Kingdom
A Luyckx Belgium
E. Maeder Switzerland
Christine Bilmazes United States
Kazunori Mawatari Japan
Gemma Solanes Spain
A. D. Kriketos Australia
J B Li relative to P A MacLennan United Kingdom P A MacLennan's profile →
Citations per field
00.5×1.5×2.0×
P A MacLennan · 1×
Citations per year

Countries citing papers authored by J B Li

Since Specialization
Citations

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

Fields of papers citing papers by J B Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J B Li. 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 J B Li. The network helps show where J B Li may publish in the future.

Co-authors

The 11 scholars most cited alongside J B Li, 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 J B Li Line = papers co-authored together J B Li links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Effects of insulin, glucose, and amino acids on protein turnover in rat diaphragm.
Hit paper breakdown →
1975786
2 1977256
3 197967
4 197859
5 198355
6 197743
7 197836
8 20250

About J B Li

J B Li is a scholar working on Cell Biology, Physiology, Molecular Biology, Clinical Biochemistry and Pathology and Forensic Medicine, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (7 papers), Diet and metabolism studies (4 papers), Adipose Tissue and Metabolism (3 papers), Muscle Physiology and Disorders (2 papers), Metabolism and Genetic Disorders (2 papers), Vitamin D Research Studies (1 paper), Meat and Animal Product Quality (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Cell Biology (783 citations), Clinical Biochemistry (157 citations), Physiology (564 citations), Rehabilitation (124 citations) and Animal Science and Zoology (135 citations). J B Li has collaborated with scholars based in United States. Frequent co-authors include Alfred L. Goldberg, Richard M. Fulks, Leonard S. Jefferson, S. R. Rannels, Kathryn E. Flaim, JAMES HIGGINS, Maia Norman, A. Sperduto, Steven J. Wassner and Soodabeh Esmaili. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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