M. D'Antonio

807 citations
32 papers · 633 · h-index 16

Impact in

  • Physiology top 2%
    • Reproductive biology and impacts on aquatic species
    • Endometriosis Research and Treatment
    • Sperm and Testicular Function
    • Hypothalamic control of reproductive hormones

Papers in

    • Sperm and Testicular Function 7
    • Hypothalamic control of reproductive hormones 4
    • Reproductive biology and impacts on aquatic species 11

M. D'Antonio

32 papers receiving 594 citations

Peers

M. D'Antonio
Comparison fields: 5 of 71
  • Physiology 173
  • Reproductive Medicine 309
  • Obstetrics and Gynecology 80
  • Pharmaceutical Science 48
  • Aquatic Science 41
Replace Trevor Wigham with:
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Citations per field
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Citations per year

Countries citing papers authored by M. D'Antonio

Since Specialization
Citations

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

Fields of papers citing papers by M. D'Antonio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. D'Antonio. 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 M. D'Antonio. The network helps show where M. D'Antonio may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000102
2 198663
3 199952
4 198950
5 200537
6 198635
7 199026
8 199523
9 198922
10 199221
11 198721
12 199120
13 199320
14 201417
15 199216
16 199216
17 200614
18 199011
19 19959
20 19928

About M. D'Antonio

M. D'Antonio is a scholar working on Reproductive Medicine, Physiology, Endocrinology, Diabetes and Metabolism, Genetics and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 633 indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (11 papers), Hormonal and reproductive studies (8 papers), Sperm and Testicular Function (7 papers), Physiological and biochemical adaptations (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Hypothalamic control of reproductive hormones (4 papers), Neuropeptides and Animal Physiology (3 papers) and Advanced Drug Delivery Systems (3 papers). The work is most often cited by research in Physiology (173 citations), Reproductive Medicine (309 citations), Obstetrics and Gynecology (80 citations), Pharmaceutical Science (48 citations) and Aquatic Science (41 citations). M. D'Antonio has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Riccardo Pierantoni, Silvia Fasano, Sergio Minucci, Loredana Di Matteo, G. Chieffi, Franco Martelli, Francesca Borrelli, Ruben Papoian, Sergio Peano and Giovanni Pacioni. Their work appears in journals such as General and Comparative Endocrinology, Journal of Reproductive Immunology, Tetrahedron Letters, Journal of Experimental Zoology and Multiple Sclerosis Journal.

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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