Ignacio Bergadá

3.4k citations
109 papers · 2.6k · h-index 29

Impact in

Papers in

Ignacio Bergadá

105 papers receiving 2.5k citations

Peers

Ignacio Bergadá
Comparison fields: 5 of 85
  • Reproductive Medicine 707
  • Endocrinology, Diabetes and Metabolism 736
  • Genetics 410
  • Molecular Biology 642
  • Nephrology 88
Replace Merih Berberoğlu with:
Merih Berberoğlu Türkiye
Catherine Dacou‐Voutetakis Greece
Rachel Reynaud France
Silvana Salardi Italy
Yardena Tenenbaum‐Rakover Israel
Joan DiMartino-Nardi United States
Brunetto Boscherini Italy
Thomas P. Foley United States
Teoman Akçay Türkiye
Dominique Simon France
Ignacio Bergadá relative to Merih Berberoğlu Türkiye Merih Berberoğlu's profile →
Citations per field
00.5×2×2.6×
Merih Berberoğlu · 1×
Citations per year

Countries citing papers authored by Ignacio Bergadá

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Bergadá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006193
2 2012152
3 2017142
4 2012110
5 200795
6 201479
7 201178
8 200573
9 201666
10 198964
11 201159
12 202357
13 200155
14 199748
15 202345
16 200444
17 201444
18 201543
19 202040
20 201439

About Ignacio Bergadá

Ignacio Bergadá is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Genetics, Surgery and Molecular Biology, having authored 109 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (23 papers), Growth Hormone and Insulin-like Growth Factors (22 papers), Sexual Differentiation and Disorders (16 papers), Pituitary Gland Disorders and Treatments (12 papers), Adrenal Hormones and Disorders (10 papers), Genomics and Rare Diseases (10 papers), Pancreatic function and diabetes (7 papers) and Thyroid Disorders and Treatments (5 papers). The work is most often cited by research in Reproductive Medicine (707 citations), Endocrinology, Diabetes and Metabolism (736 citations), Genetics (410 citations), Molecular Biology (642 citations) and Nephrology (88 citations). Ignacio Bergadá has collaborated with scholars based in Argentina, United States and France. Frequent co-authors include Rodolfo Alberto Rey, Stella Campo, María Gabriela Ropelato, César Bergadá, Silvia Gottlieb, Patricia Bedecarrás, Romina P. Grinspon, Marı́a Gabriela Ballerini, Luz Andreone and Debora Giselle Braslavsky. Their work appears in journals such as Hormone Research in Paediatrics, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Frontiers in Endocrinology and Pediatric Research.

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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