J. Wayne Leitner

3.0k citations
70 papers · 2.6k indexed · h-index 31

J. Wayne Leitner

70 papers receiving 2.5k citations

Peers

J. Wayne Leitner
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 665
  • Molecular Biology 1.6k
  • Physiology 520
  • Physiology 83
  • Surgery 719
Replace C. Ronald Kahn with:
C. Ronald Kahn United States
Corentin Cras‐Méneur United States
Jocelyn E. Manning Fox Canada
Chantal Filloux France
Hitomi Matsuzaki Japan
Gil Leibowitz Israel
Marc L. Goalstone United States
Hans E. Hohmeier United States
Björn Friedrich Germany
Christophe A. Girard United Kingdom
J. Wayne Leitner relative to C. Ronald Kahn United States C. Ronald Kahn's profile →
Citations per field
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C. Ronald Kahn · 1×
Citations per year

Countries citing papers authored by J. Wayne Leitner

Since Specialization
Citations

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

Fields of papers citing papers by J. Wayne Leitner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20135
2 201218
3 200946
4 200827
5 200814
6 200626
7 200435
8 200314
9 200327
10 200036
11 199936
12 199855
13 199713
14 199757
15 199619
16 199534
17 198872
18 19884
19 19876
20 198321

About J. Wayne Leitner

J. Wayne Leitner is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Oncology and Genetics, having authored 70 papers that have together received 2.6k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (32 papers), Pancreatic function and diabetes (31 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Cancer-related Molecular Pathways (12 papers), Diabetes and associated disorders (11 papers), Adipose Tissue and Metabolism (11 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (665 citations), Molecular Biology (1.6k citations), Physiology (520 citations), Physiology (83 citations) and Surgery (719 citations). J. Wayne Leitner has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Boris Draznin, Karl E. Sussman, Marc L. Goalstone, Jerrold M. Olefsky, Toshiyasu Sasaoka, W. John Langlois, Kirstin Carel, Jane E.B. Reusch, A. E. Vatter and Wolff M. Kirsch. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Diabetes, Biochemical and Biophysical Research Communications and Metabolism.

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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