J. Wayne Leitner

3.0k citations
70 papers · 2.7k · h-index 32

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 31
    • Protein Kinase Regulation and GTPase Signaling 14
    • Pancreatic function and diabetes 31

J. Wayne Leitner

70 papers receiving 2.6k citations

Peers

J. Wayne Leitner
Comparison fields: 5 of 101
  • Endocrinology, Diabetes and Metabolism 655
  • Molecular Biology 1.6k
  • Physiology 470
  • Physiology 84
  • Surgery 727
Replace C. Ronald Kahn with:
C. Ronald Kahn United States
Masatoshi Kikuchi Japan
Timothy L. Reudelhuber Canada
Corentin Cras‐Méneur United States
Gil Leibowitz Israel
Christophe A. Girard United Kingdom
Chantal Filloux France
Hitomi Matsuzaki Japan
Yasuyuki Kihara Japan
Chong Wee Liew United States
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Citations per field
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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-authors

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

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994189
2 2001168
3 2007140
4 2005123
5 1975117
6 1994105
7 200189
8 198874
9 199765
10 199862
11 199462
12 198761
13 199758
14 198058
15 199858
16 197955
17 199351
18 200946
19 199545
20 197044

About J. Wayne Leitner

J. Wayne Leitner is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Genetics and Oncology, having authored 70 papers that have together received 2.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (31 papers), Pancreatic function and diabetes (31 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Diabetes and associated disorders (11 papers), Cancer-related Molecular Pathways (11 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Adipose Tissue and Metabolism (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (655 citations), Molecular Biology (1.6k citations), Physiology (470 citations), Physiology (84 citations) and Surgery (727 citations). J. Wayne Leitner has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Boris Draznin, Karl E. Sussman, Marc L. Goalstone, Jerrold M. Olefsky, Toshiyasu Sasaoka, W. John Langlois, Kirstin Carel, Wolff M. Kirsch, Jane E.B. Reusch and A. E. Vatter. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, 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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