P. Pearce

27 papers receiving 2.3k citations

P. Pearce's Hit Papers

Mineralocorticoid Action: Target Tissue Specificity Is Enzyme, Not Receptor, Mediated 1988 · 1.4k citations
1.4k0+12+25Years since publication4008001.2k

Peers

P. Pearce
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 1.9k
  • Behavioral Neuroscience 401
  • Pharmacology 236
  • Genetics 418
  • Pharmacology 218
Replace P Stewart with:
P Stewart United Kingdom
J W Funder Australia
J. P. Bonvalet France
Arnold J. Eisenfeld United States
Kathy Myles Australia
Alessandro M. Capponi Switzerland
Toshio Kaneko Japan
Norman Fleischer United States
Kathleen M. Curnow United States
Masafumi Haji Japan
P. Pearce relative to P Stewart United Kingdom P Stewart's profile →
Citations per field
00.5×2×3.4×
P Stewart · 1×
Citations per year

Countries citing papers authored by P. Pearce

Since Specialization
Citations

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

Fields of papers citing papers by P. Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mineralocorticoid Action: Target Tissue Specificity Is Enzyme, Not Receptor, Mediated
Hit paper breakdown →
19881427
2 1989163
3 1989132
4 1987105
5 198599
6 199096
7 198169
8 199763
9 198350
10 198247
11 199441
12 198237
13 198228
14 198621
15 198818
16 198418
17 198615
18 198513
19 19878
20 19867

About P. Pearce

P. Pearce is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Behavioral Neuroscience, Reproductive Medicine and Obstetrics and Gynecology, having authored 27 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (12 papers), Estrogen and related hormone effects (11 papers), Ion Transport and Channel Regulation (4 papers), Stress Responses and Cortisol (3 papers), Hormonal and reproductive studies (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Receptor Mechanisms and Signaling (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Behavioral Neuroscience (401 citations), Pharmacology (236 citations), Genetics (418 citations) and Pharmacology (218 citations). P. Pearce has collaborated with scholars based in Australia, Malaysia and New Zealand. Frequent co-authors include John W. Funder, A. Ian Smith, Zygmunt S. Krozowski, Johannes M. H. M. Reul, B. A. K. Khalid, Kathy Myles, L. PAUL ROY, Ursula Kuhnle, J W Funder and Decio Armanini. Their work appears in journals such as Endocrinology, The Journal of Immunology, Clinical and Experimental Pharmacology and Physiology, BJOG An International Journal of Obstetrics & Gynaecology and The FASEB Journal.

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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