Sahar Gelfman

2.1k total citations
19 papers, 913 citations indexed

About

Sahar Gelfman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Sahar Gelfman has authored 19 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Sahar Gelfman's work include RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and RNA and protein synthesis mechanisms (4 papers). Sahar Gelfman is often cited by papers focused on RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and RNA and protein synthesis mechanisms (4 papers). Sahar Gelfman collaborates with scholars based in United States, Israel and Australia. Sahar Gelfman's co-authors include Gil Ast, Noa Cohen, Tal Pupko, Schraga Schwartz, Maayan Amit, David Burstein, Eddo Kim, Amir Goren, Dror Hollander and Galit Lev-Maor and has published in prestigious journals such as Nature, Nature Communications and Genome Research.

In The Last Decade

Sahar Gelfman

17 papers receiving 908 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sahar Gelfman United States 10 758 154 121 69 49 19 913
Seva Kashin United States 6 529 0.7× 284 1.8× 90 0.7× 71 1.0× 58 1.2× 7 768
Kibibi Ganz United States 5 1.4k 1.8× 242 1.6× 90 0.7× 25 0.4× 61 1.2× 5 1.5k
Masayuki Oginuma Japan 13 685 0.9× 119 0.8× 72 0.6× 52 0.8× 44 0.9× 17 801
Jonathan Lim United States 7 770 1.0× 156 1.0× 132 1.1× 115 1.7× 26 0.5× 14 1.0k
Vargheese M. Chennathukuzhi United States 18 528 0.7× 185 1.2× 67 0.6× 35 0.5× 25 0.5× 28 904
Ivana Barbaric United Kingdom 19 881 1.2× 184 1.2× 82 0.7× 49 0.7× 55 1.1× 41 1.1k
Jennifer E. Posey United States 16 481 0.6× 394 2.6× 83 0.7× 27 0.4× 58 1.2× 61 813
Ramon Y. Birnbaum Israel 17 880 1.2× 305 2.0× 83 0.7× 104 1.5× 61 1.2× 27 1.1k
Jingxia Xu United States 13 489 0.6× 100 0.6× 65 0.5× 19 0.3× 28 0.6× 22 873
Nuno Miguel Luis France 13 442 0.6× 108 0.7× 46 0.4× 44 0.6× 53 1.1× 18 712

Countries citing papers authored by Sahar Gelfman

Since Specialization
Citations

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

Fields of papers citing papers by Sahar Gelfman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahar Gelfman

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

All Works

19 of 19 papers shown
1.
Rajagopal, Veera M. & Sahar Gelfman. (2025). Errors in the Huntington’s disease gene accumulate slowly and then all at once. Nature. 639(8055). 584–586. 1 indexed citations
2.
Parikshak, Neelroop, Daria Zamolodchikov, Sahar Gelfman, et al.. (2024). Transcriptional profiling in microglia across physiological and pathological states identifies a transcriptional module associated with neurodegeneration. Communications Biology. 7(1). 1168–1168. 8 indexed citations
3.
Loeliger, Jordan, Sahar Gelfman, Eli A. Stahl, et al.. (2024). The Impact of HLA-A29 Homozygosity and of the Second HLA-A Allele on Susceptibility and Severity of Birdshot Chorioretinitis. Investigative Ophthalmology & Visual Science. 65(13). 47–47.
4.
Colombo, Sophie, Sabrina Petri, Damian J. Williams, et al.. (2023). Epilepsy in a mouse model of GNB1 encephalopathy arises from altered potassium (GIRK) channel signaling and is alleviated by a GIRK inhibitor. Frontiers in Cellular Neuroscience. 17. 1175895–1175895. 7 indexed citations
5.
Gelfman, Sahar, Eunice Lee, Isha Monga, et al.. (2022). Whole exome sequencing in Alopecia Areata identifies rare variants in KRT82. Nature Communications. 13(1). 800–800. 18 indexed citations
6.
Gelfman, Sahar, Dominique Monnet, Ann J. Ligocki, et al.. (2021). ERAP1, ERAP2, and Two Copies of HLA-Aw19 Alleles Increase the Risk for Birdshot Chorioretinopathy in HLA-A29 Carriers. Investigative Ophthalmology & Visual Science. 62(14). 3–3. 9 indexed citations
7.
Zhang, Mengqi, Sahar Gelfman, Cristiane Araújo Martins Moreno, et al.. (2021). Focused goodness of fit tests for gene set analyses. Briefings in Bioinformatics. 23(1).
8.
Gelfman, Sahar, Janice McCarthy, Matthew Harms, et al.. (2020). Incorporating external information to improve sparse signal detection in rare‐variant gene‐set‐based analyses. Genetic Epidemiology. 44(4). 330–338. 4 indexed citations
9.
Gelfman, Sahar, Sarah A. Dugger, Cristiane Araújo Martins Moreno, et al.. (2019). A new approach for rare variation collapsing on functional protein domains implicates specific genic regions in ALS. Genome Research. 29(5). 809–818. 14 indexed citations
10.
Gelfman, Sahar, et al.. (2019). LB1053 Dysregulation of antioxidant enzyme PRDX5 in alopecia areata. Journal of Investigative Dermatology. 139(9). B3–B3. 1 indexed citations
11.
Gelfman, Sahar, Quanli Wang, Yifan Lu, et al.. (2018). meaRtools: An R package for the analysis of neuronal networks recorded on microelectrode arrays. PLoS Computational Biology. 14(10). e1006506–e1006506. 19 indexed citations
12.
Gelfman, Sahar, Quanli Wang, K. Melodi McSweeney, et al.. (2017). Annotating pathogenic non-coding variants in genic regions. Nature Communications. 8(1). 236–236. 99 indexed citations
13.
McSweeney, K. Melodi, Ayal B. Gussow, Shelton S. Bradrick, et al.. (2016). Inhibition of microRNA 128 promotes excitability of cultured cortical neuronal networks. Genome Research. 26(10). 1411–1416. 32 indexed citations
14.
Bell, Rachel E., Tamar Golan, Danna Sheinboim, et al.. (2016). Enhancer methylation dynamics contribute to cancer plasticity and patient mortality. Genome Research. 26(5). 601–611. 84 indexed citations
15.
Gelfman, Sahar, Shai Melcer, Jan‐Philipp Mallm, et al.. (2015). HP1 Is Involved in Regulating the Global Impact of DNA Methylation on Alternative Splicing. Cell Reports. 10(7). 1122–1134. 154 indexed citations
16.
Gelfman, Sahar, et al.. (2013). DNA-methylation effect on cotranscriptional splicing is dependent on GC architecture of the exon–intron structure. Genome Research. 23(5). 789–799. 168 indexed citations
17.
Gelfman, Sahar, et al.. (2013). Testing for Natural Selection in Human Exonic Splicing Regulators Associated with Evolutionary Rate Shifts. Journal of Molecular Evolution. 76(4). 228–239. 3 indexed citations
18.
Amit, Maayan, Maya Donyo, Dror Hollander, et al.. (2012). Differential GC Content between Exons and Introns Establishes Distinct Strategies of Splice-Site Recognition. Cell Reports. 1(5). 543–556. 216 indexed citations
19.
Gelfman, Sahar, David Burstein, Osnat Penn, et al.. (2011). Changes in exon–intron structure during vertebrate evolution affect the splicing pattern of exons. Genome Research. 22(1). 35–50. 76 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Seva Kashin Breakdown of academic impact, for papers by Kibibi Ganz Breakdown of academic impact, for papers by Masayuki Oginuma Breakdown of academic impact, for papers by Jonathan Lim Breakdown of academic impact, for papers by Vargheese M. Chennathukuzhi Breakdown of academic impact, for papers by Ivana Barbaric Breakdown of academic impact, for papers by Jennifer E. Posey Breakdown of academic impact, for papers by Ramon Y. Birnbaum Breakdown of academic impact, for papers by Jingxia Xu Breakdown of academic impact, for papers by Nuno Miguel Luis
Rankless by CCL
2026