S. Leto

19 total papers · 462 total citations
13 papers, 352 citations indexed

About

S. Leto is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, S. Leto has authored 13 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Reproductive Medicine, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Physiology. Recurrent topics in S. Leto's work include Sperm and Testicular Function (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Reproductive Biology and Fertility (2 papers). S. Leto is often cited by papers focused on Sperm and Testicular Function (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Reproductive Biology and Fertility (2 papers). S. Leto collaborates with scholars based in United States and Cameroon. S. Leto's co-authors include C. H. Barrows, Gertrude C. Kokkonen, Herbert Lipke, Barbara J. Graves, M. J. Yiengst, Lourens J.D. Zaneveld, Roland B. Scott, Asok K. Bhattacharyya, H. van der Ven and Zvi Binor and has published in prestigious journals such as Journal of Biological Chemistry, Fertility and Sterility and Biology of Reproduction.

In The Last Decade

S. Leto

13 papers receiving 332 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. Leto 115 93 85 77 74 13 352
M. Sawada 35 0.3× 73 0.8× 36 0.4× 95 1.2× 40 0.5× 20 371
Kazunao Kuramoto 77 0.7× 67 0.7× 68 0.8× 116 1.5× 18 0.2× 24 337
Debabrata Das 105 0.9× 16 0.2× 158 1.9× 108 1.4× 56 0.8× 16 385
B. W. Collins 64 0.6× 18 0.2× 51 0.6× 197 2.6× 20 0.3× 13 377
Songna Yin 48 0.4× 23 0.2× 69 0.8× 108 1.4× 28 0.4× 10 333
Hao‐Lin Zhang 50 0.4× 23 0.2× 107 1.3× 146 1.9× 26 0.4× 25 351
Gunasekaran Singaravelu 19 0.2× 72 0.8× 44 0.5× 148 1.9× 193 2.6× 24 386
Emily A. Witham 84 0.7× 46 0.5× 31 0.4× 116 1.5× 65 0.9× 11 304
Maurizio Vitti 142 1.2× 65 0.7× 209 2.5× 108 1.4× 39 0.5× 6 394
Leandro M. Vélez 164 1.4× 70 0.8× 107 1.3× 81 1.1× 8 0.1× 22 349

Countries citing papers authored by S. Leto

Since Specialization
Citations

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

Fields of papers citing papers by S. Leto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Leto

This figure shows the co-authorship network connecting the top 25 collaborators of S. Leto. A scholar is included among the top collaborators of S. Leto 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 S. Leto. S. Leto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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