Benjamin Yakir

3.9k total citations · 1 hit paper
51 papers, 1.9k citations indexed

About

Benjamin Yakir is a scholar working on Molecular Biology, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Benjamin Yakir has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Statistics and Probability and 14 papers in Statistics, Probability and Uncertainty. Recurrent topics in Benjamin Yakir's work include Advanced Statistical Process Monitoring (14 papers), Statistical Methods and Inference (9 papers) and Gene expression and cancer classification (6 papers). Benjamin Yakir is often cited by papers focused on Advanced Statistical Process Monitoring (14 papers), Statistical Methods and Inference (9 papers) and Gene expression and cancer classification (6 papers). Benjamin Yakir collaborates with scholars based in Israel, United States and Germany. Benjamin Yakir's co-authors include David Siegmund, Amander T. Clark, William E. Lowry, Kathrin Plath, Neta Lavon, Uri Ben‐David, Nissim Benvenisty, Yoav Mayshar, Ariel Darvasi and Bruce P. Lanphear and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of the American Statistical Association.

In The Last Decade

Benjamin Yakir

50 papers receiving 1.9k citations

Hit Papers

Identification and Classification of Chromosomal Aberrati... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Yakir Israel 24 824 403 250 228 199 51 1.9k
S. Stanley Young United States 18 439 0.5× 124 0.3× 136 0.5× 425 1.9× 101 0.5× 56 1.6k
Zhide Fang United States 19 709 0.9× 85 0.2× 52 0.2× 84 0.4× 90 0.5× 73 1.4k
Edsel A. Peña United States 22 579 0.7× 135 0.3× 27 0.1× 610 2.7× 209 1.1× 88 2.1k
Daniel M. Keenan United States 32 370 0.4× 176 0.4× 23 0.1× 121 0.5× 24 0.1× 96 2.9k
Dongjun Chung United States 20 764 0.9× 359 0.9× 49 0.2× 41 0.2× 10 0.1× 85 1.5k
R. A. Fisher United States 9 183 0.2× 108 0.3× 98 0.4× 81 0.4× 30 0.2× 11 1.2k
Jingwen Yan United States 21 720 0.9× 253 0.6× 162 0.6× 47 0.2× 5 0.0× 76 1.6k
Hyonho Chun United States 13 462 0.6× 155 0.4× 41 0.2× 146 0.6× 20 0.1× 24 1.1k
Suresh Sharma India 17 220 0.3× 29 0.1× 34 0.1× 94 0.4× 63 0.3× 109 1.1k
Zhaohua Lu United States 22 225 0.3× 112 0.3× 71 0.3× 223 1.0× 8 0.0× 74 1.6k

Countries citing papers authored by Benjamin Yakir

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Yakir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Yakir

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Yakir. A scholar is included among the top collaborators of Benjamin Yakir 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 Benjamin Yakir. Benjamin Yakir 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
2.
Sawyer, Susanna, Pere Gelabert, Benjamin Yakir, et al.. (2024). Improved detection of methylation in ancient DNA. Genome biology. 25(1). 261–261. 3 indexed citations
3.
Meshorer, Eran, et al.. (2024). Reconstructing DNA methylation maps of ancient populations. Nucleic Acids Research. 52(4). 1602–1612. 5 indexed citations
4.
Yakir, Benjamin. (2013). Extremes in Random Fields. Wiley series in probability and statistics. 17 indexed citations
5.
Siegmund, David, et al.. (2011). False discovery rate for scanning statistics. Biometrika. 98(4). 979–985. 34 indexed citations
6.
Nissenbaum, J., Marshall Devor, Ze’ev Seltzer, et al.. (2010). Susceptibility to chronic pain following nerve injury is genetically affected by CACNG2. Genome Research. 20(9). 1180–1190. 102 indexed citations
7.
Mayshar, Yoav, Uri Ben‐David, Neta Lavon, et al.. (2010). Identification and Classification of Chromosomal Aberrations in Human Induced Pluripotent Stem Cells. Cell stem cell. 7(4). 521–531. 549 indexed citations breakdown →
8.
Bronstein, Michal, Anne Pisanté, Benjamin Yakir, & Ariel Darvasi. (2008). Type 2 diabetes susceptibility loci in the Ashkenazi Jewish population. Human Genetics. 124(1). 101–104. 23 indexed citations
9.
Siegmund, David & Benjamin Yakir. (2008). Detecting the emergence of a signal in a noisy image. Statistics and Its Interface. 1(1). 3–12. 13 indexed citations
10.
Siegmund, David & Benjamin Yakir. (2007). Comprar The Statistics of Gene Mapping | Siegmund, David | 9780387496849 | Springer. 3 indexed citations
11.
Devor, Marshall, J. Nissenbaum, Benjamin Yakir, et al.. (2007). Sex‐specific variability and a ‘cage effect’ independently mask a neuropathic pain quantitative trait locus detected in a whole genome scan. European Journal of Neuroscience. 26(3). 681–688. 28 indexed citations
12.
Shifman, Sagiv, Anat Levit, Mao‐Liang Chen, et al.. (2006). A complete genetic association scan of the 22q11 deletion region and functional evidence reveal an association between DGCR2 and schizophrenia. Human Genetics. 120(2). 160–170. 30 indexed citations
13.
Levine, Arie, Amir Karban, Rami Eliakim, et al.. (2005). A Polymorphism in the TNF-alpha Promoter Gene is Associated with Pediatric Onset and Colonic Location of Crohn's Disease. The American Journal of Gastroenterology. 100(2). 407–413. 40 indexed citations
14.
Levine, Arie, Raanan Shamir, Eytan Wine, et al.. (2005). TNF Promoter Polymorphisms and Modulation of Growth Retardation and Disease Severity in Pediatric Crohn's Disease. The American Journal of Gastroenterology. 100(7). 1598–1604. 42 indexed citations
15.
Leshinsky‐Silver, Esther, Amir Karban, Benjamin Yakir, et al.. (2005). Is Age of Onset of Crohn's Disease Governed by Mutations in NOD2/Caspase Recruitment Domains 15 and Toll-Like Receptor 4? Evaluation of a Pediatric Cohort. Pediatric Research. 58(3). 499–504. 24 indexed citations
16.
Devor, Marshall, et al.. (2005). pain1: A neuropathic pain QTL on mouse chromosome 15 in a C3H×C58 backcross. Pain. 116(3). 289–293. 29 indexed citations
17.
Shifman, Sagiv, Michal Bronstein, Meira Sternfeld, et al.. (2004). COMT: A common susceptibility gene in bipolar disorder and schizophrenia. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 128B(1). 61–64. 133 indexed citations
18.
Shifman, Sagiv, et al.. (2002). Quantitative technologies for allele frequency estimation of SNPs in DNA pools. Molecular and Cellular Probes. 16(6). 429–434. 44 indexed citations
19.
Lanphear, Bruce P., Michael Weitzman, N L Winter, et al.. (1996). Lead-contaminated house dust and urban children's blood lead levels.. American Journal of Public Health. 86(10). 1416–1421. 174 indexed citations
20.
Lanphear, Bruce P., Mary J. Emond, David E. Jacobs, et al.. (1995). A Side-by-Side Comparison of Dust Collection Methods for Sampling Lead-Contaminated House Dust. Environmental Research. 68(2). 114–123. 99 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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