Gill Bejerano

22.6k total citations · 6 hit papers
93 papers, 13.0k citations indexed

About

Gill Bejerano is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Gill Bejerano has authored 93 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 33 papers in Genetics and 16 papers in Artificial Intelligence. Recurrent topics in Gill Bejerano's work include Genomics and Phylogenetic Studies (24 papers), RNA and protein synthesis mechanisms (22 papers) and Genomics and Chromatin Dynamics (22 papers). Gill Bejerano is often cited by papers focused on Genomics and Phylogenetic Studies (24 papers), RNA and protein synthesis mechanisms (22 papers) and Genomics and Chromatin Dynamics (22 papers). Gill Bejerano collaborates with scholars based in United States, Israel and United Kingdom. Gill Bejerano's co-authors include David Haussler, Aaron M. Wenger, Craig B. Lowe, Bruce T. Schaar, Cory Y. McLean, Michael Hiller, Shoa L. Clarke, Adam Siepel, Kate R. Rosenbloom and Jakob Skou Pedersen and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gill Bejerano

90 papers receiving 12.8k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

GREAT improves functional interpretation of cis-regulatory regions

2010 2.9k citations Cory Y. McLean, Michael Hiller et al. Nature Biotechnology profile →
Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes

2005 2.8k citations Gill Bejerano, David Haussler et al. Genome Research profile →
Ultraconserved Elements in the Human Genome

2004 1.3k citations Gill Bejerano, Michael Pheasant et al. Science profile →
Novel small RNA-encoding genes in the intergenic regions of Escherichia coli

2001 619 citations Gill Bejerano et al. profile →
M-CAP eliminates a majority of variants of uncertain significance in clinical exomes at high sensitivity

2016 512 citations Karthik A. Jagadeesh, Aaron M. Wenger et al. profile →
Enhancers: five essential questions

2013 395 citations Gill Bejerano et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gill Bejerano United States	38	10.3k	3.8k	2.0k	1.8k	693	93	13.0k
Serafim Batzoglou United States	41	8.9k 0.9×	3.5k 0.9×	1.2k 0.6×	1.2k 0.7×	504 0.7×	88	11.8k
Adam Siepel United States	44	9.3k 0.9×	4.2k 1.1×	2.0k 1.0×	1.8k 1.0×	477 0.7×	101	12.5k
Lincoln Stein United States	63	11.3k 1.1×	3.4k 0.9×	2.0k 1.0×	3.1k 1.7×	1.1k 1.6×	203	16.7k
Terrence S. Furey United States	30	12.3k 1.2×	3.5k 0.9×	1.9k 1.0×	1.7k 1.0×	856 1.2×	81	16.0k
Anthony Philippakis United States	30	6.6k 0.6×	4.0k 1.1×	1.5k 0.8×	1.3k 0.7×	527 0.8×	70	11.6k
Ryan Poplin United States	8	6.7k 0.7×	5.3k 1.4×	2.0k 1.0×	1.8k 1.0×	617 0.9×	12	14.1k
Charles W. Sugnet United States	12	8.4k 0.8×	2.2k 0.6×	1.4k 0.7×	1.1k 0.6×	590 0.9×	15	10.7k
David R. Kelley United States	33	10.0k 1.0×	2.4k 0.6×	3.0k 1.5×	3.3k 1.8×	1.1k 1.6×	45	15.1k
David B. Jaffe United States	43	7.8k 0.8×	2.5k 0.7×	1.0k 0.5×	1.7k 0.9×	322 0.5×	86	11.9k
Jan O. Korbel Germany	47	5.8k 0.6×	2.9k 0.8×	1.5k 0.8×	1.7k 0.9×	352 0.5×	114	8.3k

Countries citing papers authored by Gill Bejerano

Since Specialization

Citations

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

Fields of papers citing papers by Gill Bejerano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gill Bejerano

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tanigawa, Yosuke, et al.. (2022). WhichTF is functionally important in your open chromatin data?. PLoS Computational Biology. 18(8). e1010378–e1010378. 53 indexed citations

Wu, David W., Jonathan A. Bernstein, & Gill Bejerano. (2022). Discovering monogenic patients with a confirmed molecular diagnosis in millions of clinical notes with MonoMiner. Genetics in Medicine. 24(10). 2091–2102. 3 indexed citations

Jagadeesh, Karthik A., et al.. (2021). Avoiding genetic racial profiling in criminal DNA profile databases. Nature Computational Science. 1(4). 272–279. 1 indexed citations

Heavner, Whitney E., Shaoyi Ji, James H. Notwell, et al.. (2020). Transcription factor expression defines subclasses of developing projection neurons highly similar to single-cell RNA-seq subtypes. Proceedings of the National Academy of Sciences. 117(40). 25074–25084. 17 indexed citations

Turakhia, Yatish, Heidi I. Chen, Amir Marcovitz, & Gill Bejerano. (2020). A fully-automated method discovers loss of mouse-lethal and human-monogenic disease genes in 58 mammals. Nucleic Acids Research. 48(16). e91–e91. 5 indexed citations

Birgmeier, Johannes, Maximilian Haeussler, Cole A. Deisseroth, et al.. (2020). AMELIE speeds Mendelian diagnosis by matching patient phenotype and genotype to primary literature. Science Translational Medicine. 12(544). 56 indexed citations

Madelaine, Romain, Marion Aguirrebengoa, Harendra Guturu, et al.. (2020). Morphogenesis is transcriptionally coupled to neurogenesis during peripheral olfactory organ development. Development. 147(24). 6 indexed citations

Marcovitz, Amir, Yatish Turakhia, Heidi I. Chen, et al.. (2019). A functional enrichment test for molecular convergent evolution finds a clear protein-coding signal in echolocating bats and whales. Proceedings of the National Academy of Sciences. 116(42). 21094–21103. 30 indexed citations

Turakhia, Yatish, Gill Bejerano, & William J. Dally. (2019). Darwin: A Genomics Co-processor Provides up to 15, 000X Acceleration on Long Read Assembly.. USENIX Annual Technical Conference. 5 indexed citations

10.

Tanigawa, Yosuke, Jiehan Li, Johanne Marie Justesen, et al.. (2019). Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology. Nature Communications. 10(1). 4064–4064. 39 indexed citations

11.

Birgmeier, Johannes, Cole A. Deisseroth, Karthik A. Jagadeesh, et al.. (2019). AVADA: toward automated pathogenic variant evidence retrieval directly from the full-text literature. Genetics in Medicine. 22(2). 362–370. 16 indexed citations

12.

Chen, Heidi I., Karthik A. Jagadeesh, Johannes Birgmeier, et al.. (2018). An MTF1 binding site disrupted by a homozygous variant in the promoter of ATP7B likely causes Wilson Disease. European Journal of Human Genetics. 26(12). 1810–1818. 16 indexed citations

13.

Jagadeesh, Karthik A., David J. Wu, Johannes Birgmeier, Dan Boneh, & Gill Bejerano. (2017). Deriving genomic diagnoses without revealing patient genomes. Science. 357(6352). 692–695. 87 indexed citations

14.

Wenger, Aaron M., Shoa L. Clarke, Harendra Guturu, et al.. (2013). PRISM offers a comprehensive genomic approach to transcription factor function prediction. Genome Research. 23(5). 889–904. 22 indexed citations

15.

Fan, Xiujun, Pei‐Gen Ren, Gill Bejerano, et al.. (2011). Noninvasive Monitoring of Placenta-Specific Transgene Expression by Bioluminescence Imaging. PLoS ONE. 6(1). e16348–e16348. 20 indexed citations

16.

McLean, Cory Y., Michael Hiller, Shoa L. Clarke, et al.. (2010). GREAT improves functional interpretation of cis-regulatory regions. Nature Biotechnology. 28(5). 495–501. 2888 indexed citations breakdown →

17.

Bejerano, Gill, Michael Pheasant, Igor V. Makunin, et al.. (2004). Ultraconserved Elements in the Human Genome. Science. 304(5675). 1321–1325. 1262 indexed citations breakdown →

18.

Seldin, Yevgeny, Gill Bejerano, & Naftali Tishby. (2001). Unsupervised Segmentation and Classification of Mixtures of Markovian Sources. MPG.PuRe (Max Planck Society). 1–15. 1 indexed citations

19.

Seldin, Yevgeny, Gill Bejerano, & Naftali Tishby. (2001). Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources. MPG.PuRe (Max Planck Society). 513–520. 9 indexed citations

20.

Bejerano, Gill, et al.. (2001). Extraction of Protein Domains and Signatures through Unsupervised Statistical Sequence Segmentation.

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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