Antonio E. Colás

901 citations
45 papers · 804 · h-index 14

Impact in

Papers in

Antonio E. Colás

42 papers receiving 724 citations

Peers

Antonio E. Colás
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 211
  • Behavioral Neuroscience 41
  • Pharmacology 97
  • Cancer Research 103
  • Reproductive Medicine 58
Replace E.H.D. Cameron with:
E.H.D. Cameron United Kingdom
B.‐L. Nguyen France
Lia Savu France
Dwain D. Hagerman United States
Van Luu The Canada
M. Perrot-Applanat France
H. Philip Schane United States
Etty Perel Canada
Claude Labrie Canada
William D. Noteboom United States
Antonio E. Colás relative to E.H.D. Cameron United Kingdom E.H.D. Cameron's profile →
Citations per field
00.5×2×4×5.4×
E.H.D. Cameron · 1×
Citations per year

Countries citing papers authored by Antonio E. Colás

Since Specialization
Citations

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

Fields of papers citing papers by Antonio E. Colás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio E. Colás. 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 Antonio E. Colás. The network helps show where Antonio E. Colás may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tumor DNA in plasma at diagnosis of breast cancer patients is a valuable predictor of disease-free survival.
2002114
2 200378
3 196475
4 198665
5 196646
6 195742
7 196237
8 196532
9 198028
10 196926
11 200026
12 196724
13 196821
14 197817
15 198214
16 197514
17 197814
18 197012
19 200812
20 197810

About Antonio E. Colás

Antonio E. Colás is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Genetics, Reproductive Medicine and Biochemistry, having authored 45 papers that have together received 804 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Hormonal and reproductive studies (13 papers), Hormonal Regulation and Hypertension (9 papers), Pharmacogenetics and Drug Metabolism (8 papers), Pharmacological Effects and Assays (4 papers), Hypothalamic control of reproductive hormones (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Steroid Chemistry and Biochemistry (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (211 citations), Behavioral Neuroscience (41 citations), Pharmacology (97 citations), Cancer Research (103 citations) and Reproductive Medicine (58 citations). Antonio E. Colás has collaborated with scholars based in United States, Spain and Russia. Frequent co-authors include W L Heinrichs, Howard J. Tatum, Harry J. Karavolas, Javier Silva, Gemma Domínguez, Félix Bonilla, Luis B. Curet, José M. Silva, Pilar González España and Richard D. Dyer. Their work appears in journals such as Steroids, Endocrinology, Biology of Reproduction, Journal of Endocrinology and American Journal of Obstetrics and Gynecology.

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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