Peter N. Graves

2.0k citations
42 papers · 1.7k · h-index 24

Impact in

Papers in

Peter N. Graves

42 papers receiving 1.6k citations

Peers

Peter N. Graves
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 547
  • Immunology 397
  • Radiology, Nuclear Medicine and Imaging 282
  • Immunology and Allergy 65
  • Genetics 312
Replace François Godeau with:
François Godeau France
W J Rutter United States
Nobuyuki Miyajima Japan
Peggy S. Zelenka United States
Jean‐Pierre Kerckaert France
David Gilbert United Kingdom
Maria Grazia Malabarba Italy
Jacques Jami France
Hanne L. Ostergaard Canada
Sigrun Mink Germany
Peter N. Graves relative to François Godeau France François Godeau's profile →
Citations per field
00.5×3.9×
François Godeau · 1×
Citations per year

Countries citing papers authored by Peter N. Graves

Since Specialization
Citations

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

Fields of papers citing papers by Peter N. Graves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991166
2 2002163
3 1983124
4 2001105
5 200298
6 199280
7 199069
8 199958
9 199658
10 198855
11 199550
12 198346
13 197638
14 199337
15 199537
16 199537
17 199332
18 199030
19 200230
20 197129

About Peter N. Graves

Peter N. Graves is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Genetics and Immunology, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (13 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Glycosylation and Glycoproteins Research (6 papers), RNA and protein synthesis mechanisms (5 papers), Neuropeptides and Animal Physiology (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Diabetes and associated disorders (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (547 citations), Immunology (397 citations), Radiology, Nuclear Medicine and Imaging (282 citations), Immunology and Allergy (65 citations) and Genetics (312 citations). Peter N. Graves has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Terry F. Davies, H Vlase, Rauf Latif, Peter Palese, Pamela D. Unger, Russell Marians, A Ben-Nun, Jerome L. Schulman, James F. Young and Gregory A. Grabowski. Their work appears in journals such as Endocrinology, Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and The Journal of Clinical Endocrinology & 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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