Peter J. Fuller

13.5k citations
320 papers · 10.3k · h-index 55

Impact in

Papers in

Peter J. Fuller

311 papers receiving 9.8k citations

Peers

Peter J. Fuller
Comparison fields: 5 of 163
  • Endocrinology, Diabetes and Metabolism 3.5k
  • Behavioral Neuroscience 507
  • Reproductive Medicine 1.2k
  • Genetics 2.1k
  • Genetics 499
Replace Tommaso Simoncini with:
Tommaso Simoncini Italy
Ellis R. Levin United States
Stephen R. Plymate United States
Nadine Binart France
Keith L. Parker United States
Vincent Goffin France
Ze’ev Hochberg Israel
Andrée Krust France
Carolyn A. Bondy United States
Peter C. Hindmarsh United Kingdom
Peter J. Fuller relative to Tommaso Simoncini Italy Tommaso Simoncini's profile →
Citations per field
00.5×5.4×
Tommaso Simoncini · 1×
Citations per year

Countries citing papers authored by Peter J. Fuller

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 320 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006328
2 2005256
3 2009244
4 1991183
5 2010182
6 2012147
7 1997142
8 1998142
9 1992138
10 1988127
11 1995124
12 2010121
13 1994113
14 2021110
15
Human kallikrein 4 (KLK4) is highly expressed in serous ovarian carcinomas.
2001103
16 1994100
17 200098
18 200098
19 200994
20 200491

About Peter J. Fuller

Peter J. Fuller is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Surgery and Reproductive Medicine, having authored 320 papers that have together received 10.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (142 papers), Estrogen and related hormone effects (56 papers), Ion Transport and Channel Regulation (30 papers), Ovarian cancer diagnosis and treatment (29 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (29 papers), Electrolyte and hormonal disorders (19 papers), Adrenal Hormones and Disorders (18 papers) and Stress Responses and Cortisol (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.5k citations), Behavioral Neuroscience (507 citations), Reproductive Medicine (1.2k citations), Genetics (2.1k citations) and Genetics (499 citations). Peter J. Fuller has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include Morag J. Young, Simon Chu, John W. Funder, Jun Yang, Fraser M. Rogerson, Karen Verity, Francine E. Brennan, Stacey Jamieson, Maria-Cristina Keightley and Russell G. Taylor. Their work appears in journals such as Molecular and Cellular Endocrinology, Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology and Molecular Endocrinology.

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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