F. Martin

32 papers receiving 1.3k citations

Peers

F. Martin
Comparison fields: 5 of 109
  • Genetics 379
  • Oncology 294
  • Endocrinology, Diabetes and Metabolism 178
  • Molecular Biology 635
  • Cancer Research 123
Replace Sherry F. Grissom with:
Sherry F. Grissom United States
Yasumitsu Takagi Japan
Edward R. Simpson United States
Ryuya Horiuchi Japan
CHARLOTTE SUMIDA France
ELMUS G. BEALE United States
Chelin Hu United States
Rick J. Koch United States
Annie Rodolosse Spain
Michael P. Walker United States
F. Martin relative to Sherry F. Grissom United States Sherry F. Grissom's profile →
Citations per field
00.5×1.5×
Sherry F. Grissom · 1×
Citations per year

Countries citing papers authored by F. Martin

Since Specialization
Citations

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

Fields of papers citing papers by F. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980174
2
Protein kinase A and AP-1 (c-Fos/JunD) are induced during apoptosis of mouse mammary epithelial cells.
1994166
3 1976143
4 1979109
5 200776
6 197568
7 200760
8
Characterisation of functional inhibition of the glucocorticoid receptor by Fos/Jun.
199156
9 197552
10 199249
11
Vascular endothelium contributes to decreased aortic contractility in experimental sepsis.
198647
12 200547
13 200745
14 197543
15 200042
16 200634
17 199833
18 198825
19 200024
20 198019

About F. Martin

F. Martin is a scholar working on Genetics, Health, Toxicology and Mutagenesis, Pharmacology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Inflammatory mediators and NSAID effects (3 papers), Pregnancy and Medication Impact (3 papers), Cancer Cells and Metastasis (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Genetics (379 citations), Oncology (294 citations), Endocrinology, Diabetes and Metabolism (178 citations), Molecular Biology (635 citations) and Cancer Research (123 citations). F. Martin has collaborated with scholars based in Ireland, Finland and Switzerland. Frequent co-authors include Herman Adlercreutz, MARTTI O. PULKKINEN, Rolf B. Jaggi, Matti J. Tikkanen, Niamh Keon, Paula Järvenpää, Andreas Marti, Birgit M. Jehn, Eithne Costello and T. Fotsis. Their work appears in journals such as Oncogene, Cell Death and Differentiation, Obstetrical & Gynecological Survey, European Journal of Endocrinology and Contraception.

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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