Yaniv Lavon

57 total papers · 880 total citations
48 papers, 681 citations indexed

About

Yaniv Lavon is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, Yaniv Lavon has authored 48 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Agronomy and Crop Science, 16 papers in Genetics and 11 papers in Animal Science and Zoology. Recurrent topics in Yaniv Lavon's work include Reproductive Physiology in Livestock (24 papers), Milk Quality and Mastitis in Dairy Cows (21 papers) and Genetic and phenotypic traits in livestock (14 papers). Yaniv Lavon is often cited by papers focused on Reproductive Physiology in Livestock (24 papers), Milk Quality and Mastitis in Dairy Cows (21 papers) and Genetic and phenotypic traits in livestock (14 papers). Yaniv Lavon collaborates with scholars based in Israel, Czechia and United States. Yaniv Lavon's co-authors include D. Wolfenson, Gabriel Leitner, Hillary Voet, E. Ezra, Z. Roth, U. Moallem, R. Braw–Tal, Eyal Klipper, Rina Meidan and T. Goshen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yaniv Lavon

45 papers receiving 648 citations

Author Peers

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

Author Last Decade Papers Cites
Yaniv Lavon 567 278 137 136 116 48 681
M.G. Riddell 429 0.8× 241 0.9× 114 0.8× 113 0.8× 105 0.9× 44 773
H. L. Whitmore 671 1.2× 286 1.0× 101 0.7× 77 0.6× 88 0.8× 41 793
M. Gobikrushanth 595 1.0× 382 1.4× 152 1.1× 108 0.8× 60 0.5× 51 674
Rodolfo Daniel Mingoti 587 1.0× 281 1.0× 167 1.2× 104 0.8× 70 0.6× 39 704
Suneerat Aiumlamai 527 0.9× 103 0.4× 86 0.6× 46 0.3× 85 0.7× 45 761
K. Kawata 362 0.6× 255 0.9× 88 0.6× 93 0.7× 36 0.3× 38 565
E. C. Mather 530 0.9× 285 1.0× 116 0.8× 79 0.6× 47 0.4× 47 758
B.-A. Tenhagen 477 0.8× 328 1.2× 150 1.1× 43 0.3× 56 0.5× 27 707
S. Zduńczyk 403 0.7× 193 0.7× 66 0.5× 72 0.5× 124 1.1× 88 657
B. Serrano 405 0.7× 261 0.9× 121 0.9× 76 0.6× 92 0.8× 58 777

Countries citing papers authored by Yaniv Lavon

Since Specialization
Citations

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

Fields of papers citing papers by Yaniv Lavon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaniv Lavon

This figure shows the co-authorship network connecting the top 25 collaborators of Yaniv Lavon. A scholar is included among the top collaborators of Yaniv Lavon 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 Yaniv Lavon. Yaniv Lavon 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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2026