Peter Nissley

1.8k citations
32 papers · 1.5k · h-index 18

Impact in

Papers in

Peter Nissley

32 papers receiving 1.4k citations

Peers

Peter Nissley
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 690
  • Molecular Biology 803
  • Cancer Research 162
  • Genetics 271
  • Oncology 259
Replace Teresa N. Faria with:
Teresa N. Faria United States
Donald G. Munroe United States
W R Baumbach United States
Bruno Moncharmont Italy
Hugh F. English United States
Robert A. Huseby United States
Martine I. Darville Belgium
Pascale Ribaux Switzerland
Sharon Dana United States
Rosemary Foley United Kingdom
Peter Nissley relative to Teresa N. Faria United States Teresa N. Faria's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Nissley

Since Specialization
Citations

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

Fields of papers citing papers by Peter Nissley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991203
2 1971202
3 1998171
4 1992135
5 1979123
6 197982
7 200079
8 198661
9 197249
10 199348
11 197839
12 200535
13 196934
14 198831
15 199625
16 200024
17 199221
18 200319
19 199117
20 200313

About Peter Nissley

Peter Nissley is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Oncology and Physiology, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (24 papers), Metabolism, Diabetes, and Cancer (11 papers), Pancreatic function and diabetes (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Thyroid Disorders and Treatments (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Protein Tyrosine Phosphatases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (690 citations), Molecular Biology (803 citations), Cancer Research (162 citations), Genetics (271 citations) and Oncology (259 citations). Peter Nissley has collaborated with scholars based in United States, Germany and Cameroon. Frequent co-authors include Matthew M. Rechler, Bhakta R. Dey, Richard W. Furlanetto, Alan C. Moses, Ira Pastan, Robert L. Perlman, Derek LeRoith, David R. Clemmons, Wieland Kieß and Robert M. White. Their work appears in journals such as Biochemical and Biophysical Research Communications, Endocrinology, Journal of Biological Chemistry, European Journal of Biochemistry 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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