Gábor Huszár

5.0k citations
91 papers · 3.8k · h-index 38

Impact in

Papers in

Gábor Huszár

89 papers receiving 3.5k citations

Peers

Gábor Huszár
Comparison fields: 5 of 117
  • Reproductive Medicine 2.3k
  • Public Health, Environmental and Occupational Health 1.7k
  • Physiology 140
  • Cell Biology 316
  • Pediatrics, Perinatology and Child Health 283
Replace Judith L. Vaitukaitis with:
Judith L. Vaitukaitis United States
Toshinobu Tanaka Japan
Shee‐Uan Chen Taiwan
Sonja Grunewald Germany
S. Hamamah France
Christiane Kirchhoff Germany
Griff T. Ross United States
W.C. Buhi United States
Kazuhiko Hoshi Japan
Rosemary J. Santulli United States
Gábor Huszár relative to Judith L. Vaitukaitis United States Judith L. Vaitukaitis's profile →
Citations per field
00.5×10×14.4×
Judith L. Vaitukaitis · 1×
Citations per year

Countries citing papers authored by Gábor Huszár

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Huszár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980231
2 2003198
3 2005156
4 2007140
5 2000122
6 1997114
7 1993106
8 1994104
9 2003102
10 200692
11 200392
12 198485
13 197283
14 199282
15 197281
16 201080
17 199075
18 198671
19 200269
20 197169

About Gábor Huszár

Gábor Huszár is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Cell Biology and Genetics, having authored 91 papers that have together received 3.8k indexed citations. Recurring topics across this work include Sperm and Testicular Function (52 papers), Reproductive Biology and Fertility (38 papers), Ovarian function and disorders (14 papers), Muscle metabolism and nutrition (8 papers), Reproductive Health and Technologies (7 papers), Muscle Physiology and Disorders (6 papers), Preterm Birth and Chorioamnionitis (5 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers). The work is most often cited by research in Reproductive Medicine (2.3k citations), Public Health, Environmental and Occupational Health (1.7k citations), Physiology (140 citations), Cell Biology (316 citations) and Pediatrics, Perinatology and Child Health (283 citations). Gábor Huszár has collaborated with scholars based in United States, Türkiye and Hungary. Frequent co-authors include Lynne Vigue, Frederick Naftolin, Marcelia Corrales, Marshall Elzinga, Sevil Çaylı, Attila Jakab, Denny Sakkas, Elena Maria Delpiano, Ertuğ Kovanci and Sinan Özkavukçu. Their work appears in journals such as Fertility and Sterility, Journal of Andrology, Reproductive BioMedicine Online, Journal of Assisted Reproduction and Genetics and Journal of Biological Chemistry.

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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