Peter Nissley

1.8k total citations
32 papers, 1.5k citations indexed

About

Peter Nissley is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Peter Nissley has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Peter Nissley's work include Growth Hormone and Insulin-like Growth Factors (24 papers), Metabolism, Diabetes, and Cancer (11 papers) and Pancreatic function and diabetes (5 papers). Peter Nissley is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (24 papers), Metabolism, Diabetes, and Cancer (11 papers) and Pancreatic function and diabetes (5 papers). Peter Nissley collaborates with scholars based in United States, Germany and Cameroon. Peter Nissley's co-authors include Matthew M. Rechler, Bhakta R. Dey, Richard W. Furlanetto, Alan C. Moses, Robert L. Perlman, Ira Pastan, Derek LeRoith, David R. Clemmons, Wieland Kieß and Robert M. White and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Annals of Internal Medicine.

In The Last Decade

Peter Nissley

32 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Nissley United States 18 803 690 271 259 162 32 1.5k
W R Baumbach United States 19 671 0.8× 818 1.2× 292 1.1× 141 0.5× 188 1.2× 31 1.5k
Teresa N. Faria United States 23 1.1k 1.4× 612 0.9× 330 1.2× 294 1.1× 123 0.8× 29 2.0k
Donald G. Munroe United States 19 787 1.0× 352 0.5× 257 0.9× 339 1.3× 145 0.9× 33 1.9k
Sharon Dana United States 21 1.1k 1.3× 258 0.4× 453 1.7× 117 0.5× 111 0.7× 27 1.5k
Irwin L. Flink United States 21 1.0k 1.3× 365 0.5× 210 0.8× 85 0.3× 82 0.5× 31 1.6k
Hugh F. English United States 16 1.2k 1.4× 308 0.4× 305 1.1× 680 2.6× 336 2.1× 26 2.2k
Shigenori Ogata Japan 21 772 1.0× 237 0.3× 105 0.4× 298 1.2× 74 0.5× 45 1.4k
Chris I. Cheeseman Canada 19 697 0.9× 424 0.6× 122 0.5× 139 0.5× 195 1.2× 29 1.3k
Kristin F. Wilson United States 21 1.3k 1.6× 398 0.6× 125 0.5× 199 0.8× 591 3.6× 30 1.8k
Kyoko Takeda Japan 25 667 0.8× 894 1.3× 495 1.8× 91 0.4× 54 0.3× 67 1.6k

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-authorship network of co-authors of Peter Nissley

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Nissley. A scholar is included among the top collaborators of Peter Nissley 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 Peter Nissley. Peter Nissley 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
1.
LeRoith, Derek & Peter Nissley. (2005). Knock your SOCS off!. Journal of Clinical Investigation. 115(2). 233–236. 1 indexed citations
2.
LeRoith, Derek & Peter Nissley. (2005). Knock your SOCS off!. Journal of Clinical Investigation. 115(2). 233–236. 35 indexed citations
3.
4.
Dey, Bhakta R., et al.. (2003). Interaction of 14-3-3 proteins with the insulin-like growth factor I receptor (IGFIR): evidence for a role of 14-3-3 proteins in IGFIR signaling. Biochemical and Biophysical Research Communications. 312(4). 1060–1066. 13 indexed citations
5.
Dey, Bhakta R., et al.. (2001). Anchorage-Independent Growth of Fibroblasts That Express a Truncated IGF-I Receptor. Biochemical and Biophysical Research Communications. 286(3). 472–477. 6 indexed citations
6.
Nissley, Peter, et al.. (2000). Autophosphorylation of the Insulin-like Growth Factor I Receptor Cytoplasmic Domain. Biochemical and Biophysical Research Communications. 279(3). 955–960. 24 indexed citations
7.
Dey, Bhakta R., Richard W. Furlanetto, & Peter Nissley. (2000). Suppressor of Cytokine Signaling (SOCS)-3 Protein Interacts with the Insulin-like Growth Factor-I Receptor. Biochemical and Biophysical Research Communications. 278(1). 38–43. 79 indexed citations
8.
Dey, Bhakta R., et al.. (1998). Interaction of Human Suppressor of Cytokine Signaling (SOCS)-2 with the Insulin-like Growth Factor-I Receptor. Journal of Biological Chemistry. 273(37). 24095–24101. 171 indexed citations
9.
Kieß, Wieland, et al.. (1994). Insulin-Like Growth Factor-II is a Substrate for Dipeptidylpeptidase I (Cathepsin C). Biological Properties of the Product. European Journal of Biochemistry. 226(1). 179–184. 1 indexed citations
10.
11.
Nissley, Peter, Wieland Kieß, & Mark Sklar. (1993). Developmental expression of the IGF‐II/mannose 6‐phosphate receptor. Molecular Reproduction and Development. 35(4). 408–413. 48 indexed citations
12.
Nissley, Peter, et al.. (1993). Insulin-like growth factor-I (IGF-I) dependent phosphorylation of the IGF-I receptor in MG-63 cells. Regulatory Peptides. 48(1-2). 207–216. 13 indexed citations
13.
Sklar, Mark, Cheryl L. Thomas, Giovanna Municchi, et al.. (1992). Developmental expression of rat insulin-like growth factor-II/mannose 6-phosphate receptor messenger ribonucleic acid.. Endocrinology. 130(6). 3484–3491. 21 indexed citations
14.
LeRoith, Derek, David R. Clemmons, Peter Nissley, & Matthew M. Rechler. (1992). Insulin-like Growth Factors in Health and Disease. Annals of Internal Medicine. 116(10). 854–862. 135 indexed citations
15.
Nissley, Peter, et al.. (1991). Insulin-Like Growth Factor Receptors. Growth Factors. 5(1). 29–43. 203 indexed citations
16.
Nissley, Peter & Wieland Kieß. (1991). Reciprocal Modulation of Binding of Lysosomal Enzymes and Insulin-Like Growth Factor-II (IGF-II) to the Mannose 6- Phosphate/IGF-II Receptor. Advances in experimental medicine and biology. 293. 311–324. 17 indexed citations
17.
Nissley, Peter, Lilly Lee, & Wieland Kieß. (1991). Evidence against a role for insulin-like growth factor II in the autonomous growth of rat 18,54-SF cells. Molecular and Cellular Endocrinology. 75(3). 213–219. 2 indexed citations
18.
Gelato, Marie C., Wieland Kieß, Lilly Lee, et al.. (1988). The Insulin-Like Growth Factor II/Mannose-6-Phosphate Receptor Is Present in Monkey Serum. The Journal of Clinical Endocrinology & Metabolism. 67(4). 669–675. 31 indexed citations
19.
Rechler, Matthew M. & Peter Nissley. (1986). Insulin-Like Growth Factor (IGF)&slash;Somatomedin Receptor Subtypes: Structure, Function, and Relationships to Insulin Receptors and IGF Carrier Proteins. Hormone Research. 24(2-3). 152–159. 61 indexed citations
20.
Edelhoch, Harold, N. Cittanova, & Peter Nissley. (1968). A Comparison of the Iodination of Native Thyroglobulin with its Subunits. 5. 107–114. 2 indexed citations

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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