Szabolcs Nagy

2.1k total citations
59 papers, 1.5k citations indexed

About

Szabolcs Nagy is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Szabolcs Nagy has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Reproductive Medicine, 24 papers in Public Health, Environmental and Occupational Health and 18 papers in Genetics. Recurrent topics in Szabolcs Nagy's work include Sperm and Testicular Function (33 papers), Reproductive Biology and Fertility (24 papers) and Animal Genetics and Reproduction (11 papers). Szabolcs Nagy is often cited by papers focused on Sperm and Testicular Function (33 papers), Reproductive Biology and Fertility (24 papers) and Animal Genetics and Reproduction (11 papers). Szabolcs Nagy collaborates with scholars based in Hungary, Sweden and Finland. Szabolcs Nagy's co-authors include Heriberto Rodríguez‐Martínez, Anders Johannisson, Einko Topper, B.M. Gadella, J. Jansen, Triin Hallap, Ülle Jaakma, Margareta Wallgren, András Kovács and M. S. Hossain and has published in prestigious journals such as Environmental Science & Technology, Landscape and Urban Planning and Biology of Reproduction.

In The Last Decade

Szabolcs Nagy

55 papers receiving 1.4k citations

Peers

Szabolcs Nagy
Comparison fields: 5 of 128
  • Reproductive Medicine 855
  • Public Health, Environmental and Occupational Health 755
  • Genetics 258
  • Physiology 182
  • Agronomy and Crop Science 163
Éric Schmitt France
Zishu Liu China
Thomaz Lucia Brazil
S. Balasch Spain
Hai Xiang China
Gyanendra Singh India
VK Singh India
Xian Guo China
Li Sun China
L.E. Moraes United States
Éric Schmitt France View profile →
Citations per field, relative to Szabolcs Nagy
Szabolcs Nagy · 1×
Citations per year, relative to Szabolcs Nagy
Szabolcs Nagy · 1×

Countries citing papers authored by Szabolcs Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Szabolcs Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Szabolcs Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Szabolcs Nagy. A scholar is included among the top collaborators of Szabolcs Nagy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Szabolcs Nagy. Szabolcs Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 0
4 3
5 1
6 4
7 7
8 9
9 87
10 43
11 1
12 128
13 198
14 14
15 11
16 70
17 52
18 39
19 43
20 34

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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