Marisa Cabeza

1.1k citations
82 papers · 952 · h-index 18

Impact in

Papers in

Marisa Cabeza

78 papers receiving 920 citations

Peers

Marisa Cabeza
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 353
  • Urology 90
  • Toxicology 51
  • Genetics 266
  • Pharmacology 59
Replace Eugene Bratoeff with:
Eugene Bratoeff Mexico
D. Giudici Italy
Kapila Ratnam United States
Kenneth Ellsworth United States
Martin Frotscher Germany
Larry J. Black United States
Scott G. Lundeen United States
Rubén D. Garcia-Ordoñez United States
J.C. Nwachukwu United States
Rafał R. Siciński United States
Marisa Cabeza relative to Eugene Bratoeff Mexico Eugene Bratoeff's profile →
Citations per field
00.5×
Eugene Bratoeff · 1×
Citations per year

Countries citing papers authored by Marisa Cabeza

Since Specialization
Citations

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

Fields of papers citing papers by Marisa Cabeza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200680
2 200549
3
Effect of beta-sitosterol as inhibitor of 5 alpha-reductase in hamster prostate.
200342
4 200338
5 201929
6 201128
7 199528
8 200823
9 201422
10 200121
11 202020
12 197520
13 200320
14 200518
15 200418
16 200718
17 199918
18
Steroidal antiandrogens and 5alpha-reductase inhibitors.
199918
19 199917
20 201317

About Marisa Cabeza

Marisa Cabeza is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Cell Biology, having authored 82 papers that have together received 952 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (51 papers), Estrogen and related hormone effects (31 papers), Prostate Cancer Treatment and Research (21 papers), Steroid Chemistry and Biochemistry (16 papers), Sexual Differentiation and Disorders (15 papers), Hormonal Regulation and Hypertension (13 papers), Aldose Reductase and Taurine (9 papers) and Urinary Bladder and Prostate Research (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (353 citations), Urology (90 citations), Toxicology (51 citations), Genetics (266 citations) and Pharmacology (59 citations). Marisa Cabeza has collaborated with scholars based in Mexico, Puerto Rico and Vietnam. Frequent co-authors include Eugene Bratoeff, Elena Ramı́rez, Ivonne Heuze, Eugenio Flores, M. Revilla, Rubén Román‐Ramos, Gregorio Pérez‐Palacios, Araceli Sánchez, José Segovia and Marta Romano. Their work appears in journals such as Steroids, Journal of Enzyme Inhibition and Medicinal Chemistry, Chemical and Pharmaceutical Bulletin, The Journal of Steroid Biochemistry and Molecular Biology and Bioorganic & Medicinal 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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