Patricia Forgez

3.8k citations
80 papers · 3.1k indexed · h-index 31

Impact in

Papers in

Patricia Forgez

79 papers receiving 3.0k citations

Peers

Patricia Forgez
Comparison fields: 5 of 118
  • Cellular and Molecular Neuroscience 894
  • Oncology 733
  • Reproductive Medicine 191
  • Cancer Research 327
  • Endocrinology, Diabetes and Metabolism 350
Replace Eric D. Wieben with:
Eric D. Wieben United States
Alan H. Drummond United Kingdom
Randal A. Skidgel United States
Helen Reddy United Kingdom
Shigehiko Mizutani Japan
Pomila Singh United States
Hisakazu Ogita Japan
David J. MacEwan United Kingdom
J E Niedel United States
Rory A. Fisher United States
Patricia Forgez relative to Eric D. Wieben United States Eric D. Wieben's profile →
Citations per field
00.5×1.5×2.3×
Eric D. Wieben · 1×
Citations per year

Countries citing papers authored by Patricia Forgez

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Forgez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20211
3 202086
4 202019
5 201921
6 201816
7 201722
8 201714
9 201422
10 201219
11 201162
12 201176
13 201097
14 200725
15 200417
16 200339
17
Regulation of human corneal epithelial cell proliferation and apoptosis by dexamethasone.
200051
18 199862
19 19953
20 198952

About Patricia Forgez

Patricia Forgez is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine, Psychiatry and Mental health, Oncology and Molecular Biology, having authored 80 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (31 papers), Receptor Mechanisms and Signaling (17 papers), Cancer, Stress, Anesthesia, and Immune Response (10 papers), Estrogen and related hormone effects (10 papers), Cholesterol and Lipid Metabolism (6 papers), Hypothalamic control of reproductive hormones (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (894 citations), Oncology (733 citations), Reproductive Medicine (191 citations), Cancer Research (327 citations) and Endocrinology, Diabetes and Metabolism (350 citations). Patricia Forgez has collaborated with scholars based in France, Italy and Mexico. Frequent co-authors include William Rostène, Marco Alifano, Anne Gompel, Frédérique Souazé, M. John Chapman, Zherui Wu, P M Laplaud, Dominique Hermier, Sandra Dupouy and M. John Chapman. Their work appears in journals such as Journal of Lipid Research, Biochimie, Breast Cancer Research and Treatment, Cancer Letters and Journal of Biological Chemistry.

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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