Saurabh Baheti

6.4k total citations
41 papers, 1.2k citations indexed

About

Saurabh Baheti is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Saurabh Baheti has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Saurabh Baheti's work include Epigenetics and DNA Methylation (8 papers), Genomics and Phylogenetic Studies (7 papers) and RNA modifications and cancer (7 papers). Saurabh Baheti is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Genomics and Phylogenetic Studies (7 papers) and RNA modifications and cancer (7 papers). Saurabh Baheti collaborates with scholars based in United States, Canada and Australia. Saurabh Baheti's co-authors include Zhifu Sun, Sumit Middha, Jean‐Pierre Kocher, Matthew A. Bockol, Yan W. Asmann, Asha Nair, Krishna R. Kalari, Jaysheel Bhavsar, Jinfu Nie and Xiaojia Tang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Saurabh Baheti

38 papers receiving 1.2k citations

Peers

Saurabh Baheti

GENET

ONCOL

PRM

Andreas Massouras Switzerland

Mark J. Berger United States

Claus‐Eric Ott Germany

Sarah K. Harten United Kingdom

Tristan Shaffer United States

Ilse Wieland Germany

Jean McGowan‐Jordan Canada

Suhn K. Rhie United States

Shalini C. Reshmi United States

Pumin Zhang United States

Andreas Massouras Switzerland

Saurabh Baheti

746 ×1.1

571 ×1.6

GENET

136 ×0.5

106 ×0.7

ONCOL

102 ×0.8

PRM

Citations per year, relative to Saurabh Baheti Saurabh Baheti (= 1×) peers Andreas Massouras

Countries citing papers authored by Saurabh Baheti

Since Specialization

Citations

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

Fields of papers citing papers by Saurabh Baheti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saurabh Baheti

This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Baheti. A scholar is included among the top collaborators of Saurabh Baheti 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 Saurabh Baheti. Saurabh Baheti 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

Tian, Shulan, Garrett Jenkinson, Huihuang Yan, et al.. (2025). UNISOM: Unified Somatic Calling and Machine Learning-based Classification Enhance the Discovery of CHIP. Genomics Proteomics & Bioinformatics. 23(2).

Sun, Zhifu, Manuel B. Braga Neto, Yuning Xiong, et al.. (2023). Hypomethylation and Overexpression of Th17-Associated Genes is a Hallmark of Intestinal CD4+ Lymphocytes in Crohn’s Disease. Journal of Crohn s and Colitis. 17(11). 1847–1857. 3 indexed citations

Heckman, Michael G., Catherine Labbé, Ana Kolicheski, et al.. (2021). Fine-mapping of the non-coding variation driving the Caucasian LRRK2 GWAS signal in Parkinson's disease. Parkinsonism & Related Disorders. 83. 22–30. 5 indexed citations

Pendleton, Courtney, Robert J. Spinner, P. James B. Dyck, et al.. (2020). Association of intraneural perineurioma with neurofibromatosis type 2. Acta Neurochirurgica. 162(8). 1891–1897. 6 indexed citations

DeRycke, Melissa S., Melissa C. Larson, Asha Nair, et al.. (2019). An expanded variant list and assembly annotation identifies multiple novel coding and noncoding genes for prostate cancer risk using a normal prostate tissue eQTL data set. PLoS ONE. 14(4). e0214588–e0214588. 3 indexed citations

Hopp, Katharina, Émilie Cornec-Le Gall, Sarah R. Senum, et al.. (2019). Detection and characterization of mosaicism in autosomal dominant polycystic kidney disease. Kidney International. 97(2). 370–382. 49 indexed citations

Heldenbrand, Jacob R., Saurabh Baheti, Matthew A. Bockol, et al.. (2019). Recommendations for performance optimizations when using GATK3.8 and GATK4. BMC Bioinformatics. 20(1). 557–557. 35 indexed citations

Baheti, Saurabh, Matthew A. Bockol, Travis Drucker, et al.. (2019). Sentieon DNASeq Variant Calling Workflow Demonstrates Strong Computational Performance and Accuracy. Frontiers in Genetics. 10. 736–736. 134 indexed citations

Baheti, Saurabh, Xiaojia Tang, Daniel R. O’Brien, et al.. (2018). HGT-ID: an efficient and sensitive workflow to detect human-viral insertion sites using next-generation sequencing data. BMC Bioinformatics. 19(1). 271–271. 14 indexed citations

10.

Sarmento, Olga F., Phyllis A. Svingen, Zhifu Sun, et al.. (2016). The Role of the Histone Methyltransferase Enhancer of Zeste Homolog 2 (EZH2) in the Pathobiological Mechanisms Underlying Inflammatory Bowel Disease (IBD). Journal of Biological Chemistry. 292(2). 706–722. 52 indexed citations

11.

Baheti, Saurabh, et al.. (2016). Targeted alignment and end repair elimination increase alignment and methylation measure accuracy for reduced representation bisulfite sequencing data. BMC Genomics. 17(1). 149–149. 2 indexed citations

12.

Zhang, Yun, Saurabh Baheti, & Zhifu Sun. (2016). Statistical method evaluation for differentially methylated CpGs in base resolution next-generation DNA sequencing data. Briefings in Bioinformatics. 19(3). bbw133–bbw133. 25 indexed citations

13.

Kisiel, John B., Massimo Raimondo, William R. Taylor, et al.. (2015). New DNA Methylation Markers for Pancreatic Cancer: Discovery, Tissue Validation, and Pilot Testing in Pancreatic Juice. Clinical Cancer Research. 21(19). 4473–4481. 92 indexed citations

14.

Bonin, Carolina A., Eric A. Lewallen, Saurabh Baheti, et al.. (2015). Identification of differentially methylated regions in new genes associated with knee osteoarthritis. Gene. 576(1). 312–318. 30 indexed citations

15.

Larson, Nicholas B., Shannon K. McDonnell, Amy J. French, et al.. (2015). Comprehensively Evaluating cis -Regulatory Variation in the Human Prostate Transcriptome by Using Gene-Level Allele-Specific Expression. The American Journal of Human Genetics. 96(6). 869–882. 28 indexed citations

16.

Thibodeau, Stephen N., Amy J. French, Shannon K. McDonnell, et al.. (2015). Identification of candidate genes for prostate cancer-risk SNPs utilizing a normal prostate tissue eQTL data set. Nature Communications. 6(1). 8653–8653. 51 indexed citations

17.

Sun, Zhifu, Yanhong Wu, Tamás Ördög, et al.. (2014). Aberrant signature methylome by DNMT1 hot spot mutation in hereditary sensory and autonomic neuropathy 1E. Epigenetics. 9(8). 1184–1193. 50 indexed citations

18.

Tang, Xiaojia, Saurabh Baheti, Khader Shameer, et al.. (2014). The eSNV-detect: a computational system to identify expressed single nucleotide variants from transcriptome sequencing data. Nucleic Acids Research. 42(22). e172–e172. 26 indexed citations

19.

Middha, Sumit, Saurabh Baheti, Steven N. Hart, & Jean‐Pierre Kocher. (2014). From Days to Hours: Reporting Clinically Actionable Variants from Whole Genome Sequencing. PLoS ONE. 9(2). e86803–e86803. 3 indexed citations

20.

Hart, Steven N., Vivekananda Sarangi, Raymond M. Moore, et al.. (2013). SoftSearch: Integration of Multiple Sequence Features to Identify Breakpoints of Structural Variations. PLoS ONE. 8(12). e83356–e83356. 33 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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