F. Nodar

683 citations
36 papers · 506 · h-index 10

Impact in

Papers in

F. Nodar

31 papers receiving 481 citations

Peers

F. Nodar
Comparison fields: 5 of 48
  • Reproductive Medicine 430
  • Public Health, Environmental and Occupational Health 361
  • Pediatrics, Perinatology and Child Health 117
  • Genetics 84
  • Molecular Biology 130
Replace Yong‐Seog Park with:
Yong‐Seog Park South Korea
Jean François Guérin France
J.L. Romero Spain
Monica Antinori Italy
E. Van Roosendaal Belgium
Filomena Scarselli Italy
Tim Schimmel United States
Gianpiero D. Palermo United States
Sonia Brahem Tunisia
Yasuhisa Araki Japan
F. Nodar relative to Yong‐Seog Park South Korea Yong‐Seog Park's profile →
Citations per field
00.5×1.7×
Yong‐Seog Park · 1×
Citations per year

Countries citing papers authored by F. Nodar

Since Specialization
Citations

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

Fields of papers citing papers by F. Nodar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside F. Nodar, 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 F. Nodar Line = papers co-authored together F. Nodar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017100
2 200171
3 199958
4 201457
5 200951
6 199739
7 200725
8 200018
9 202012
10 201010
11 20159
12 20098
13 20186
14 20015
15 20155
16 20134
17 20024
18 20074
19 20023
20 20132

About F. Nodar

F. Nodar is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Molecular Biology and Cell Biology, having authored 36 papers that have together received 506 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (28 papers), Sperm and Testicular Function (24 papers), Assisted Reproductive Technology and Twin Pregnancy (13 papers), Prenatal Screening and Diagnostics (5 papers), Reproductive Health and Technologies (4 papers), Ovarian function and disorders (4 papers), Microtubule and mitosis dynamics (3 papers) and Nuclear Structure and Function (2 papers). The work is most often cited by research in Reproductive Medicine (430 citations), Public Health, Environmental and Occupational Health (361 citations), Pediatrics, Perinatology and Child Health (117 citations), Genetics (84 citations) and Molecular Biology (130 citations). F. Nodar has collaborated with scholars based in Argentina, United States and Netherlands. Frequent co-authors include S. Papier, C. Alvarez Sedó, Anı́bal A. Acosta, Vanesa Y. Rawe, H Chemes, G. Fiszbajn, Santiago Brugo-Olmedo, Juan C. Calamera, Claudio F. Chillik and S. Brugo Olmedo. Their work appears in journals such as Fertility and Sterility, Obstetrics and Gynecology, Journal of Assisted Reproduction and Genetics, Reproductive BioMedicine Online and Human Reproduction.

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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