David M. Selva

2.5k citations
45 papers · 1.9k · h-index 26

Impact in

Papers in

David M. Selva

44 papers receiving 1.9k citations

Peers

David M. Selva
Comparison fields: 5 of 98
  • Reproductive Medicine 558
  • Endocrinology, Diabetes and Metabolism 900
  • Epidemiology 413
  • Physiology 254
  • Pharmacology 153
Replace Robert Augustin with:
Robert Augustin Germany
Malin Lönn Sweden
Alicia Beatriz Motta Argentina
Caterina Mammi Italy
Jesus A. Villanueva United States
Rodrigo P. A. Barros United States
K. Hewitt Australia
Marinella Rosselli Switzerland
M.H.F. Sullivan United Kingdom
Kenan Qin United States
David M. Selva relative to Robert Augustin Germany Robert Augustin's profile →
Citations per field
00.5×4.5×
Robert Augustin · 1×
Citations per year

Countries citing papers authored by David M. Selva

Since Specialization
Citations

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

Fields of papers citing papers by David M. Selva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Selva. 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 David M. Selva. The network helps show where David M. Selva may publish in the future.

Co-authors

The 25 scholars most cited alongside David M. Selva, 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 David M. Selva Line = papers co-authored together David M. Selva 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 2015229
2 2007180
3 2011131
4 200997
5 201196
6 200489
7 200984
8 200772
9 201469
10 201261
11 201759
12 200953
13 200651
14 201249
15 200247
16 200044
17 200338
18 200437
19 201335
20 200934

About David M. Selva

David M. Selva is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Reproductive Medicine, Genetics and Molecular Biology, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (19 papers), Adipose Tissue and Metabolism (8 papers), Sperm and Testicular Function (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Hypothalamic control of reproductive hormones (4 papers) and Sexual Differentiation and Disorders (4 papers). The work is most often cited by research in Reproductive Medicine (558 citations), Endocrinology, Diabetes and Metabolism (900 citations), Epidemiology (413 citations), Physiology (254 citations) and Pharmacology (153 citations). David M. Selva has collaborated with scholars based in Spain, Canada and Palestinian Territory. Frequent co-authors include Geoffrey L. Hammond, Rafael Simó, Cristina Hernández, Anna Barbosa-Desongles, Cristina Sáez‐López, Kevin Hogeveen, Albert Lecube, Sheila M. Innis, Francina Munell and Jaume Reventós. Their work appears in journals such as Endocrinology, Molecular Nutrition & Food Research, Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Journal of Andrology.

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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