John C. McLenithan

5.0k citations
39 papers · 3.6k indexed · 3 hit papers · h-index 23
Topics
Adipose Tissue and Metabolism (16 papers)Metabolism, Diabetes, and Cancer (9 papers)Adipokines, Inflammation, and Metabolic Diseases (7 papers)

In The Last Decade

John C. McLenithan

39 papers receiving 3.6k citations

Hit Papers

Identification of omentin as a novel depot-specific adipo...2006202620122019200620072008200400600

Peers

John C. McLenithan
Comparison fields: 5 of 112
  • Epidemiology 1.4k
  • Molecular Biology 1.4k
  • Physiology 1.3k
  • Cardiology and Cardiovascular Medicine 830
  • Surgery 693
Replace Robert E. McGehee with:
Robert E. McGehee United States
Danièle Daviaud France
Stéphane Gesta United States
Kevin Y. Lee United States
Katherine Cianflone Canada
Jachelle M. Ofrecio United States
Philip L.S.M. Gordts United States
Yasushi Fukushima Japan
Hidehiko Kondo Japan
Pascal Peraldi France
John C. McLenithan relative to Robert E. McGehee United States Robert E. McGehee's profile →
Citations per field
00.5×
Robert E. McGehee · 1×
Citations per year

Countries citing papers authored by John C. McLenithan

Since Specialization
Citations

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

Fields of papers citing papers by John C. McLenithan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John C. McLenithan

This figure shows the co-authorship network connecting the top 25 collaborators of John C. McLenithan. A scholar is included among the top collaborators of John C. McLenithan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John C. McLenithan. John C. McLenithan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 11
4 14
5 151
6 19
7 18
8 4
9 27
10 7
11 20
12
A Null Mutation in Human APOC3 Confers a Favorable Plasma Lipid Profile and Apparent Cardioprotectionbreakdown →
517
13 165
14 87
15 174
16 28
17 76
18 25
19 10
20 6

About John C. McLenithan

John C. McLenithan is a scholar working on Biochemistry, Physiology and Cell Biology, having authored 39 papers that have together received 3.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), Metabolism, Diabetes, and Cancer (9 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). The work is most often cited by research in Physiology (1.3k citations), Biochemistry (292 citations) and Epidemiology (1.4k citations). John C. McLenithan has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Alan R. Shuldiner, Susan K. Fried, M. Daniel Lane, Mi‐Jeong Lee, Da‐Wei Gong, Toni I. Pollin, Rongze Yang, Hong Hu, Barbara C. Hansen and Haibin Wu. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

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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