Jay F. Sarthy

1.3k total citations
24 papers, 531 citations indexed

About

Jay F. Sarthy is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Jay F. Sarthy has authored 24 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Jay F. Sarthy's work include Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (6 papers) and Cancer Genomics and Diagnostics (4 papers). Jay F. Sarthy is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (6 papers) and Cancer Genomics and Diagnostics (4 papers). Jay F. Sarthy collaborates with scholars based in United States, South Africa and Slovakia. Jay F. Sarthy's co-authors include Steven Henikoff, Kami Ahmad, Nancy Bae, Peter Baumann, Steven J. Wu, Derek H. Janssens, Michael P. Meers, James M. Olson, Scott N. Furlan and Soheil Meshinchi and has published in prestigious journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Jay F. Sarthy

21 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay F. Sarthy United States	10	433	86	59	44	36	24	531
Charles C. Bell Australia	9	301 0.7×	47 0.5×	63 1.1×	49 1.1×	50 1.4×	12	395
Sharif Iqbal Finland	5	339 0.8×	42 0.5×	83 1.4×	61 1.4×	21 0.6×	7	471
Sree Rama Chaitanya Sridhara Portugal	9	552 1.3×	40 0.5×	64 1.1×	45 1.0×	50 1.4×	12	640
Youngdong Yoo United States	10	512 1.2×	48 0.6×	76 1.3×	90 2.0×	41 1.1×	10	719
Ehsan Nourbakhsh Australia	8	549 1.3×	44 0.5×	194 3.3×	55 1.3×	52 1.4×	10	666
Amanda Guffei Canada	10	253 0.6×	136 1.6×	34 0.6×	114 2.6×	52 1.4×	10	365
Chris van Oevelen Spain	10	630 1.5×	29 0.3×	56 0.9×	74 1.7×	64 1.8×	10	716
Markus W. Wendeler Switzerland	10	438 1.0×	86 1.0×	19 0.3×	29 0.7×	40 1.1×	12	677
Martin Košař Czechia	7	444 1.0×	170 2.0×	80 1.4×	98 2.2×	26 0.7×	9	591

Countries citing papers authored by Jay F. Sarthy

Since Specialization

Citations

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

Fields of papers citing papers by Jay F. Sarthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay F. Sarthy. 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 Jay F. Sarthy. The network helps show where Jay F. Sarthy may publish in the future.

Co-authorship network of co-authors of Jay F. Sarthy

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

All Works

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20 of 20 papers shown

Choudhury, Samrat Roy, Akhilesh Kaushal, Pritam Biswas, et al.. (2025). Transcriptional rewiring by enhancer methylation in CBFA2T3-GLIS2–driven pediatric acute megakaryoblastic leukemia. Genes & Diseases. 13(1). 101843–101843.

Gafken, Philip R., Sara Martire, Gabriel Boyle, et al.. (2025). The length of the G1 phase is an essential determinant of H3K27me3 landscapes across diverse cell types. PLoS Biology. 23(4). e3003119–e3003119.

Janssens, Derek H., Charles G. Mullighan, Soheil Meshinchi, et al.. (2024). MLL oncoprotein levels influence leukemia lineage identities. Nature Communications. 15(1). 9341–9341. 5 indexed citations

Zheng, Ye, Janaki Purushe, Jay F. Sarthy, et al.. (2024). Histone marks identify novel transcription factors that parse CAR-T subset-of-origin, clinical potential and expansion. Nature Communications. 15(1). 8309–8309. 4 indexed citations

Neefjes, Jacques, Katerina V. Gurova, Jay F. Sarthy, Gábor Szabó, & Steven Henikoff. (2024). Chromatin as an old and new anticancer target. Trends in cancer. 10(8). 696–707. 8 indexed citations

Braun, Katherine A., et al.. (2024). Abstract 6601: Menin drives oncogenesis in Ewing sarcoma cells by activating transcription of key metastatic factors. Cancer Research. 84(6_Supplement). 6601–6601.

Levy, Shiri, Ashish Phal, Sven Schmidt, et al.. (2022). dCas9 fusion to computer-designed PRC2 inhibitor reveals functional TATA box in distal promoter region. Cell Reports. 38(9). 110457–110457. 14 indexed citations

Wu, Feinan, Brian Magnuson, Elise R. Pfaltzgraff, et al.. (2022). EWS::FLI1 and HOXD13 Control Tumor Cell Plasticity in Ewing Sarcoma. Clinical Cancer Research. 28(20). 4466–4478. 16 indexed citations

Chew, Guo-Liang, Marie Bleakley, Robert K. Bradley, et al.. (2021). Short H2A histone variants are expressed in cancer. Nature Communications. 12(1). 490–490. 33 indexed citations

10.

Wu, Steven J., Scott N. Furlan, Anca B. Mihalas, et al.. (2021). Single-cell CUT&Tag analysis of chromatin modifications in differentiation and tumor progression. Nature Biotechnology. 39(7). 819–824. 121 indexed citations

11.

Janssens, Derek H., Michael P. Meers, Steven J. Wu, et al.. (2021). Automated CUT&Tag profiling of chromatin heterogeneity in mixed-lineage leukemia. Nature Genetics. 53(11). 1586–1596. 55 indexed citations

12.

Sarthy, Jay F., Michael P. Meers, Derek H. Janssens, et al.. (2020). Histone deposition pathways determine the chromatin landscapes of H3.1 and H3.3 K27M oncohistones. eLife. 9. 46 indexed citations

13.

Shin, David S., et al.. (2020). Endolymphatic exclusion for the treatment of pediatric chylous ascites secondary to neuroblastoma resection: report of two cases. SHILAP Revista de lepidopterología. 15(7). 1044–1049. 5 indexed citations

14.

Sarthy, Jay F., Steven Henikoff, & Kami Ahmad. (2019). Chromatin Bottlenecks in Cancer. Trends in cancer. 5(3). 183–194. 11 indexed citations

15.

Steineck, Angela, Niklas Krumm, Jay F. Sarthy, et al.. (2019). Response to Pembrolizumab in a Patient With Xeroderma Pigmentosum and Advanced Squamous Cell Carcinoma. JCO Precision Oncology. 3(3). 1–6. 9 indexed citations

16.

Janssens, Derek H., Steven J. Wu, Jay F. Sarthy, et al.. (2018). Automated in situ chromatin profiling efficiently resolves cell types and gene regulatory programs. Epigenetics & Chromatin. 11(1). 74–74. 45 indexed citations

17.

Sarthy, Jay F. & David M. DiBardino. (2013). Pyogenic liver abscess caused by Streptococcus mitis. The Lancet Infectious Diseases. 13(9). 822–822. 4 indexed citations

18.

Sarthy, Jay F., et al.. (2009). Human RAP1 inhibits non‐homologous end joining at telomeres. The EMBO Journal. 28(21). 3390–3399. 100 indexed citations

19.

Sarthy, Jay F. & T. Chris Gamblin. (2006). A light scattering assay for arachidonic acid-induced tau fibrillization without interfering micellization. Analytical Biochemistry. 353(1). 150–152. 8 indexed citations

20.

Shieh, Char‐Chang, Jay F. Sarthy, David G. McKenna, et al.. (2003). Automated Parallel Oocyte Electrophysiology Test Station (POETs ^™ ): A Screening Platform for Identification of Ligand-Gated Ion Channel Modulators. Assay and Drug Development Technologies. 1(5). 655–663. 9 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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