Wayne Leitner

449 citations
8 papers · 341 indexed · h-index 6

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • Melanoma and MAPK Pathways 1
    • Pancreatic function and diabetes 2

Wayne Leitner

8 papers receiving 327 citations

Peers

Wayne Leitner
Comparison fields: 5 of 62
  • Obstetrics and Gynecology 62
  • Physiology 101
  • Endocrinology, Diabetes and Metabolism 64
  • Endocrine and Autonomic Systems 24
  • Pediatrics, Perinatology and Child Health 51
Replace M.-T. Bihoreau with:
M.-T. Bihoreau France
C S Rose Denmark
Bethan L. Clifford United Kingdom
Marie Neergaard Harder Denmark
Hak‐Joong Kim United States
Annett Hoffmann Germany
A. Bertacca Italy
Anthony J. Weinhaus United States
G Belsanti Italy
Biva M. Desai United States
Wayne Leitner relative to M.-T. Bihoreau France M.-T. Bihoreau's profile →
Citations per field
00.5×2.8×
M.-T. Bihoreau · 1×
Citations per year

Countries citing papers authored by Wayne Leitner

Since Specialization
Citations

This map shows the geographic impact of 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 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 Wayne Leitner more than expected).

Fields of papers citing papers by Wayne Leitner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside 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 Wayne Leitner Line = papers co-authored together Wayne Leitner links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2003140
2 199390
3 199641
4 199628
5 201226
6 19818
7 19815
8 19953

About Wayne Leitner

Wayne Leitner is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cell Biology and Physiology, having authored 8 papers that have together received 341 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Pancreatic function and diabetes (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Adipose Tissue and Metabolism (2 papers), Neonatal Health and Biochemistry (1 paper), Cancer-related Molecular Pathways (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Obstetrics and Gynecology (62 citations), Physiology (101 citations), Endocrinology, Diabetes and Metabolism (64 citations), Endocrine and Autonomic Systems (24 citations) and Pediatrics, Perinatology and Child Health (51 citations). Wayne Leitner has collaborated with scholars based in United States. Frequent co-authors include Boris Draznin, Linda A. Barbour, Jianhua Shao, Liping Qiao, Marianne Anderson, Jacob E. Friedman, Najma Begum, Karl E. Sussman, Jane E.B. Reusch and Kirstin Carel. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Endoscopy, PLoS ONE and Endocrine.

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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