Ilan Gronau

4.5k total citations
26 papers, 1.6k citations indexed

About

Ilan Gronau is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Ilan Gronau has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 16 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Ilan Gronau's work include Genomics and Phylogenetic Studies (10 papers), Genetic diversity and population structure (10 papers) and Algorithms and Data Compression (4 papers). Ilan Gronau is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Genetic diversity and population structure (10 papers) and Algorithms and Data Compression (4 papers). Ilan Gronau collaborates with scholars based in Israel, United States and United Kingdom. Ilan Gronau's co-authors include Adam Siepel, Melissa J. Hubisz, Brad Gulko, Shlomo Moran, Charles G. Danko, Matthew D. Rasmussen, Leonardo Arbiza, Robert K. Wayne, John P. Pollinger and Zhenxin Fan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Current Biology.

In The Last Decade

Ilan Gronau

23 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilan Gronau Israel 15 1.1k 727 283 147 119 26 1.6k
Aakrosh Ratan United States 26 627 0.6× 846 1.2× 288 1.0× 239 1.6× 238 2.0× 68 1.8k
Thomas Mailund Denmark 24 1.2k 1.1× 953 1.3× 166 0.6× 357 2.4× 159 1.3× 88 2.0k
Jonathan Terhorst United States 11 749 0.7× 325 0.4× 125 0.4× 117 0.8× 89 0.7× 26 1.1k
Simon Boitard France 18 1.7k 1.6× 724 1.0× 243 0.9× 223 1.5× 128 1.1× 32 2.7k
Arlin Stoltzfus United States 23 884 0.8× 1.5k 2.1× 204 0.7× 292 2.0× 94 0.8× 47 2.2k
Pall I. Olason Sweden 13 1.5k 1.5× 1.2k 1.7× 269 1.0× 335 2.3× 220 1.8× 18 2.3k
Carolin Kosiol United Kingdom 22 1.1k 1.0× 1.1k 1.5× 216 0.8× 269 1.8× 236 2.0× 42 2.1k
Samuel Neuenschwander Switzerland 20 1.2k 1.1× 441 0.6× 319 1.1× 314 2.1× 356 3.0× 43 1.8k
Daniel R. Schrider United States 26 1.6k 1.5× 1.4k 2.0× 239 0.8× 623 4.2× 244 2.1× 45 2.8k
Yu Fan China 15 501 0.5× 581 0.8× 177 0.6× 115 0.8× 311 2.6× 39 1.5k

Countries citing papers authored by Ilan Gronau

Since Specialization
Citations

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

Fields of papers citing papers by Ilan Gronau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilan Gronau

This figure shows the co-authorship network connecting the top 25 collaborators of Ilan Gronau. A scholar is included among the top collaborators of Ilan Gronau 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 Ilan Gronau. Ilan Gronau 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.
Mintz, Eugenia, et al.. (2024). FIB-SEM Study of Archaeological Human Petrous Bones: 3D Structures and Diagenesis. Minerals. 14(7). 729–729.
2.
Han, Sojung, Cesare de Filippo, Genı́s Parra, et al.. (2024). Deep genetic substructure within bonobos. Current Biology. 34(22). 5341–5348.e3.
3.
Ran, Ziv, Ilan Gronau, & Michael Fire. (2022). CompanyName2Vec: Company Entity Matching based on Job Ads. 3176. 1–10.
4.
Salman‐Minkov, Ayelet, Leonardo Campagna, Melissa J. Hubisz, et al.. (2020). Genomic islands of differentiation in a rapid avian radiation have been driven by recent selective sweeps. Proceedings of the National Academy of Sciences. 117(48). 30554–30565. 46 indexed citations
5.
Gronau, Ilan, et al.. (2019). Comparative genomics provides new insights into the remarkable adaptations of the African wild dog (Lycaon pictus). Scientific Reports. 9(1). 8329–8329. 26 indexed citations
6.
vonHoldt, Bridgett M., James A. Cahill, Zhenxin Fan, et al.. (2016). Whole-genome sequence analysis shows that two endemic species of North American wolf are admixtures of the coyote and gray wolf. Science Advances. 2(7). 129 indexed citations
7.
Gulko, Brad, Melissa J. Hubisz, Ilan Gronau, & Adam Siepel. (2015). A method for calculating probabilities of fitness consequences for point mutations across the human genome. Nature Genetics. 47(3). 276–283. 187 indexed citations
8.
Fan, Zhenxin, Pedro Silva, Ilan Gronau, et al.. (2015). Worldwide patterns of genomic variation and admixture in gray wolves. Genome Research. 26(2). 163–173. 130 indexed citations
9.
Rasmussen, Matthew D., Melissa J. Hubisz, Ilan Gronau, & Adam Siepel. (2014). Genome-Wide Inference of Ancestral Recombination Graphs. PLoS Genetics. 10(5). e1004342–e1004342. 212 indexed citations
10.
Mohammed, Jaaved, Diane Bortolamiol-Bécet, Alex S. Flynt, et al.. (2014). Adaptive evolution of testis-specific, recently evolved, clustered miRNAs inDrosophila. RNA. 20(8). 1195–1209. 35 indexed citations
11.
Gronau, Ilan, Leonardo Arbiza, Jaaved Mohammed, & Adam Siepel. (2013). Inference of Natural Selection from Interspersed Genomic Elements Based on Polymorphism and Divergence. Molecular Biology and Evolution. 30(5). 1159–1171. 60 indexed citations
12.
Arbiza, Leonardo, Ilan Gronau, Bülent Arman Aksoy, et al.. (2013). Genome-wide inference of natural selection on human transcription factor binding sites. Nature Genetics. 45(7). 723–729. 88 indexed citations
13.
Choi, Sang Chul, Matthew D. Rasmussen, Melissa J. Hubisz, et al.. (2012). Replacing and Additive Horizontal Gene Transfer in Streptococcus. Molecular Biology and Evolution. 29(11). 3309–3320. 31 indexed citations
14.
Gronau, Ilan, Melissa J. Hubisz, Brad Gulko, Charles G. Danko, & Adam Siepel. (2011). Bayesian inference of ancient human demography from individual genome sequences. Nature Genetics. 43(10). 1031–1034. 401 indexed citations
15.
Linshiz, Gregory, et al.. (2011). Recursive Construction and Error Correction of DNA Molecules and Libraries from Synthetic and Natural DNA. Methods in enzymology on CD-ROM/Methods in enzymology. 498. 207–245. 1 indexed citations
16.
Gronau, Ilan, Shlomo Moran, & Irad Yavneh. (2010). Adaptive Distance Measures for Resolving K2P Quartets: Metric Separation versus Stochastic Noise. Journal of Computational Biology. 17(11). 1509–1518. 1 indexed citations
17.
Gronau, Ilan, Shlomo Moran, & Irad Yavneh. (2009). Towards optimal distance functions for stochastic substitution models. Journal of Theoretical Biology. 260(2). 294–307. 6 indexed citations
18.
Gronau, Ilan, Shlomo Moran, & Sagi Snir. (2008). Fast and reliable reconstruction of phylogenetic trees with very short edges. Symposium on Discrete Algorithms. 379–388. 11 indexed citations
19.
Gronau, Ilan & Shlomo Moran. (2007). On the hardness of inferring phylogenies from triplet-dissimilarities. Theoretical Computer Science. 389(1-2). 44–55. 1 indexed citations
20.
Gronau, Ilan & Shlomo Moran. (2007). Neighbor Joining Algorithms for Inferring Phylogenies via LCA Distances. Journal of Computational Biology. 14(1). 1–15. 13 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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