C Bergadá

2.1k citations
81 papers · 1.6k · h-index 26

Impact in

Papers in

C Bergadá

78 papers receiving 1.5k citations

Peers

C Bergadá
Comparison fields: 5 of 85
  • Reproductive Medicine 531
  • Endocrinology, Diabetes and Metabolism 477
  • Urology 141
  • Genetics 368
  • Molecular Biology 674
Replace Jean‐Claude Job with:
Jean‐Claude Job France
J L Chaussain France
Anna Biason‐Lauber Switzerland
B.J. Otten Netherlands
Piero Pirazzoli Italy
María Gabriela Ropelato Argentina
Lars Hagenäs Sweden
C. H. Mortimer United Kingdom
Inge François Belgium
A Pertzelan Israel
C Bergadá relative to Jean‐Claude Job France Jean‐Claude Job's profile →
Citations per field
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Jean‐Claude Job · 1×
Citations per year

Countries citing papers authored by C Bergadá

Since Specialization
Citations

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

Fields of papers citing papers by C Bergadá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006172
2 1965112
3 197072
4 197653
5 196250
6 198550
7 199749
8 196247
9 199245
10 198742
11 199839
12 200136
13 200435
14 199134
15 198732
16 200031
17
Testicular function in hypopituitarism.
197231
18 198230
19 199229
20 197628

About C Bergadá

C Bergadá is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Reproductive Medicine and Surgery, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (29 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers), Sperm and Testicular Function (13 papers), Hormonal and reproductive studies (12 papers), Testicular diseases and treatments (12 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Thyroid Disorders and Treatments (11 papers) and Adrenal Hormones and Disorders (9 papers). The work is most often cited by research in Reproductive Medicine (531 citations), Endocrinology, Diabetes and Metabolism (477 citations), Urology (141 citations), Genetics (368 citations) and Molecular Biology (674 citations). C Bergadá has collaborated with scholars based in Argentina, United States and France. Frequent co-authors include Marco A. Rivarola, Ignacio Bergadá, H Chemes, Martín Cullen, Silvia Gottlieb, Rodolfo A. Rey, J J Heinrich, María Gabriela Ropelato, Roberto E. Mancini and Patricia Bedecarrás. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, The Journal of Pediatrics, Pediatric Research and Hormone Research in Paediatrics.

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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