J.I. Weller

6.6k total citations
152 papers, 5.2k citations indexed

About

J.I. Weller is a scholar working on Genetics, Plant Science and Agronomy and Crop Science. According to data from OpenAlex, J.I. Weller has authored 152 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Genetics, 48 papers in Plant Science and 47 papers in Agronomy and Crop Science. Recurrent topics in J.I. Weller's work include Genetic and phenotypic traits in livestock (124 papers), Genetic Mapping and Diversity in Plants and Animals (86 papers) and Genetics and Plant Breeding (37 papers). J.I. Weller is often cited by papers focused on Genetic and phenotypic traits in livestock (124 papers), Genetic Mapping and Diversity in Plants and Animals (86 papers) and Genetics and Plant Breeding (37 papers). J.I. Weller collaborates with scholars based in Israel, United States and Bulgaria. J.I. Weller's co-authors include M. Ron, E. Ezra, M. Soller, Yechezkel Kashi, Eyal Seroussi, Micha Ron, Harris A. Lewin, Ariel Darvasi, D.W. Heyen and Ari Weinreb and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Genetics and Biometrics.

In The Last Decade

J.I. Weller

150 papers receiving 4.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J.I. Weller Israel 40 4.4k 1.7k 1.2k 580 566 152 5.2k
Henner Simianer Germany 43 4.9k 1.1× 1.5k 0.9× 1.1k 0.9× 544 0.9× 1.3k 2.4× 212 6.1k
Dirk‐Jan de Koning Sweden 39 4.0k 0.9× 1.2k 0.7× 472 0.4× 800 1.4× 995 1.8× 172 4.9k
M. Ron Israel 31 1.9k 0.4× 1.1k 0.6× 566 0.5× 767 1.3× 217 0.4× 91 2.9k
Jens Tetens Germany 25 1.8k 0.4× 479 0.3× 562 0.5× 377 0.7× 380 0.7× 141 2.7k
Just Jensen Denmark 40 3.7k 0.8× 1.9k 1.1× 1.4k 1.2× 488 0.8× 1.3k 2.4× 206 5.1k
Wouter Coppieters Belgium 37 4.2k 1.0× 1.3k 0.8× 595 0.5× 1.4k 2.3× 421 0.7× 111 5.5k
Roberto Carvalheiro Brazil 31 2.5k 0.6× 501 0.3× 613 0.5× 244 0.4× 596 1.1× 156 2.9k
Didier Boichard France 43 5.7k 1.3× 1.3k 0.8× 2.4k 2.0× 584 1.0× 1.1k 1.9× 206 6.5k
L. Varona Spain 38 4.0k 0.9× 1.2k 0.7× 801 0.7× 645 1.1× 1.5k 2.7× 223 5.1k
G. Klemetsdal Norway 33 2.7k 0.6× 321 0.2× 1.7k 1.5× 338 0.6× 593 1.0× 144 3.7k

Countries citing papers authored by J.I. Weller

Since Specialization
Citations

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

Fields of papers citing papers by J.I. Weller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.I. Weller. 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 J.I. Weller. The network helps show where J.I. Weller may publish in the future.

Co-authorship network of co-authors of J.I. Weller

This figure shows the co-authorship network connecting the top 25 collaborators of J.I. Weller. A scholar is included among the top collaborators of J.I. Weller 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 J.I. Weller. J.I. Weller 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
1.
Weller, J.I. & E. Ezra. (2025). Genetic analysis of body condition score in the Israeli Holstein dairy cattle population. Journal of Dairy Science. 108(6). 6151–6160.
2.
Ezra, E., et al.. (2024). Single-step genomic BLUP (ssGBLUP) effectively models small cattle populations: lessons from the Israeli-Holstein Herdbook. BMC Genomics. 25(1). 1147–1147. 2 indexed citations
3.
Stephen, Catherine, et al.. (2020). Student Curator Project at the University of Surrey: Encouraging and Embracing Inclusivity and Diversity Through a Staff-Student Partnership. Scholarship, Research, and Creative Work at Bryn Mawr College (Bryn Mawr College). 1(31). 6. 2 indexed citations
4.
Weller, J.I., et al.. (2018). Using geometric morphometrics for the genetics analysis of shape and size of lactation curves in Israeli first-parity Holstein cattle. Journal of Dairy Science. 101(12). 11132–11142. 3 indexed citations
5.
Reiner‐Benaim, Anat, E. Ezra, & J.I. Weller. (2017). Optimization of a genomic breeding program for a moderately sized dairy cattle population. Journal of Dairy Science. 100(4). 2892–2904. 5 indexed citations
6.
Weller, J.I., W.M. Stoop, H. Eding, C. Schrooten, & E. Ezra. (2015). Genomic evaluation of a relatively small dairy cattle population by combination with a larger population. Journal of Dairy Science. 98(7). 4945–4955. 9 indexed citations
7.
Lourenço, Daniela, I. Misztal, S. Tsuruta, et al.. (2014). Are evaluations on young genotyped animals benefiting from the past generations?. Journal of Dairy Science. 97(6). 3930–3942. 57 indexed citations
8.
Cromie, A.R., B. Wickham, John F. Kearney, et al.. (2010). International Genomic Co-operation; Who, what, when, where, why and how?. Open Repository and Bibliography (University of Liège). 42(42). 72. 8 indexed citations
9.
Shirak, Andrey, et al.. (2010). Fine-mapping of a locus on linkage group 23 for sex determination in Nile tilapia (Oreochromis niloticus). Animal Genetics. 42(2). 222–224. 49 indexed citations
11.
Weller, J.I., Sharon Reikhav, Marina Golik, Eyal Seroussi, & M. Ron. (2006). Detection and analysis of a quantitative trait locus affecting fertility in dairy cattle.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 1 indexed citations
12.
Gootwine, E., et al.. (2006). Factors affecting within-litter variation in birth weight of lambs.. 11–18. 1 indexed citations
13.
Weller, J.I., E. Ezra, & Gabriel Leitner. (2006). Genetic Analysis of Persistency in the Israeli Holstein Population by the Multitrait Animal Model. Journal of Dairy Science. 89(7). 2738–2746. 57 indexed citations
14.
Weller, J.I. & E. Ezra. (2005). Analysis of inbreeding in the Israeli Holstein dairy cattle population. Bulletin - International Bull Evaluation Service/Interbull bulletin. 85. 6 indexed citations
15.
Weller, J.I., Ulf Emanuelson, & E. Ezra. (2003). Validation of genetic evaluation methodology using the nonparametric bootstrap method. Bulletin - International Bull Evaluation Service/Interbull bulletin. 26. 7 indexed citations
16.
Weller, J.I., Marina Golik, Eyal Seroussi, E. Ezra, & M. Ron. (2003). Population-Wide Analysis of a QTL Affecting Milk-Fat Production in the Israeli Holstein Population. Journal of Dairy Science. 86(6). 2219–2227. 68 indexed citations
17.
Da, Yang, P.M. VanRaden, M. Ron, et al.. (1999). Standardization and conversion of marker polymorphism measures. Animal Biotechnology. 10(1-2). 25–35. 3 indexed citations
18.
Weller, J.I., et al.. (1996). Selection indices for non-linear breeding objectives, selection for optima. Socio-Environmental Systems Modeling. 12(12). 206–214. 7 indexed citations
19.
Weller, J.I. & Mily Ron. (1994). Detection and mapping quantitative trait loci in segregating populations: theory and experimental results.. Proceedings of the World Congress on Genetics applied to Livestock Production. 213–220. 4 indexed citations
20.
Ron, M., et al.. (1994). Determination of Effects of Milk Protein Genotype on Production Traits of Israeli Holsteins. Journal of Dairy Science. 77(4). 1106–1113. 39 indexed citations

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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