Mohan Bolisetty

6.0k total citations · 2 hit papers
18 papers, 1.8k citations indexed

About

Mohan Bolisetty is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Mohan Bolisetty has authored 18 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Mohan Bolisetty's work include Single-cell and spatial transcriptomics (4 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). Mohan Bolisetty is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). Mohan Bolisetty collaborates with scholars based in United States, United Kingdom and Australia. Mohan Bolisetty's co-authors include Paul Robson, Lili Sun, Brenton R. Graveley, Alexander R. Pinto, Galen T Squiers, Nadia Rosenthal, Micheal A. McLellan, Daniel A. Skelly, Nathan Lawlor and Ina Kycia and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Mohan Bolisetty

17 papers receiving 1.8k citations

Hit Papers

Single-Cell Transcriptional Profiling Reveals Cellular Di... 2016 2026 2019 2022 2018 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohan Bolisetty United States 14 1.2k 267 255 194 194 18 1.8k
Tiemo J. Klisch United States 21 1.1k 0.9× 201 0.8× 206 0.8× 128 0.7× 185 1.0× 35 2.2k
Sara L. Prescott United States 11 1.1k 0.9× 85 0.3× 127 0.5× 123 0.6× 260 1.3× 12 1.8k
Sheena Lee United Kingdom 20 1.4k 1.1× 173 0.6× 340 1.3× 217 1.1× 369 1.9× 27 2.0k
Hagen Wende Germany 22 1.2k 1.0× 274 1.0× 101 0.4× 670 3.5× 195 1.0× 27 2.6k
Kazuto Shigematsu Japan 30 1.7k 1.4× 331 1.2× 181 0.7× 451 2.3× 100 0.5× 118 2.9k
Véronique Dubreuil France 19 961 0.8× 121 0.5× 207 0.8× 233 1.2× 198 1.0× 26 2.0k
Kimia Kahrizi Iran 30 1.8k 1.5× 102 0.4× 196 0.8× 203 1.0× 835 4.3× 141 3.0k
Ianessa Morantte United States 15 1.4k 1.2× 138 0.5× 114 0.4× 510 2.6× 336 1.7× 16 2.4k
Hongxia Ren United States 16 528 0.4× 167 0.6× 117 0.5× 94 0.5× 143 0.7× 30 1.3k
David Kuo United States 23 748 0.6× 198 0.7× 101 0.4× 504 2.6× 45 0.2× 40 2.0k

Countries citing papers authored by Mohan Bolisetty

Since Specialization
Citations

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

Fields of papers citing papers by Mohan Bolisetty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohan Bolisetty

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

All Works

18 of 18 papers shown
1.
Vat, Lidewij Eva, Brian Goodman, Ana Paula Martins, et al.. (2025). Creation of the ideal health care pathway for integrating ctDNA testing into clinical practice through multi-stakeholder engagement.. Journal of Clinical Oncology. 43(16_suppl).
2.
Szabó, Péter M., Amir Vajdi, Namit Kumar, et al.. (2023). Cancer-associated fibroblasts are the main contributors to epithelial-to-mesenchymal signatures in the tumor microenvironment. Scientific Reports. 13(1). 3051–3051. 36 indexed citations
5.
Pandey, Ravi S., Mark P. Krebs, Mohan Bolisetty, et al.. (2022). Single-Cell RNA Sequencing Reveals Molecular Features of Heterogeneity in the Murine Retinal Pigment Epithelium. International Journal of Molecular Sciences. 23(18). 10419–10419. 5 indexed citations
6.
Mickelsen, Laura E., William F. Flynn, Kristen Springer, et al.. (2020). Cellular taxonomy and spatial organization of the murine ventral posterior hypothalamus. eLife. 9. 45 indexed citations
7.
Sarsani, Vishal, Narayanan Raghupathy, Ian T. Fiddes, et al.. (2019). The Genome of C57BL/6J “Eve”, the Mother of the Laboratory Mouse Genome Reference Strain. G3 Genes Genomes Genetics. 9(6). 1795–1805. 40 indexed citations
8.
Mickelsen, Laura E., Mohan Bolisetty, Akie Fujita, et al.. (2019). Single-cell transcriptomic analysis of the lateral hypothalamic area reveals molecularly distinct populations of inhibitory and excitatory neurons. Nature Neuroscience. 22(4). 642–656. 215 indexed citations
9.
Skelly, Daniel A., Galen T Squiers, Micheal A. McLellan, et al.. (2018). Single-Cell Transcriptional Profiling Reveals Cellular Diversity and Intercommunication in the Mouse Heart. Cell Reports. 22(3). 600–610. 373 indexed citations breakdown →
10.
Lee, Donghyung, Anthony Cheng, Nathan Lawlor, Mohan Bolisetty, & Duygu Ucar. (2018). Detection of correlated hidden factors from single cell transcriptomes using Iteratively Adjusted-SVA (IA-SVA). Scientific Reports. 8(1). 17040–17040. 5 indexed citations
11.
Rheaume, Bruce A., Mohan Bolisetty, Muhammad Sohail Sajid, et al.. (2018). Single cell transcriptome profiling of retinal ganglion cells identifies cellular subtypes. Nature Communications. 9(1). 2759–2759. 285 indexed citations
12.
Lawlor, Nathan, Joshy George, Mohan Bolisetty, et al.. (2016). Single-cell transcriptomes identify human islet cell signatures and reveal cell-type–specific expression changes in type 2 diabetes. Genome Research. 27(2). 208–222. 345 indexed citations breakdown →
13.
Brooks, Angela N., Michael O. Duff, Gemma E. May, et al.. (2015). Regulation of alternative splicing in Drosophila by 56 RNA binding proteins. Genome Research. 25(11). 1771–1780. 61 indexed citations
14.
Duff, Michael O., Sara Olson, Xintao Wei, et al.. (2015). Genome-wide identification of zero nucleotide recursive splicing in Drosophila. Nature. 521(7552). 376–379. 145 indexed citations
15.
Bolisetty, Mohan, et al.. (2015). Determining exon connectivity in complex mRNAs by nanopore sequencing. Genome biology. 16(1). 204–204. 102 indexed citations
16.
Bolisetty, Mohan & Karen Beemon. (2012). Splicing of internal large exons is defined by novel cis -acting sequence elements. Nucleic Acids Research. 40(18). 9244–9254. 17 indexed citations
17.
Bolisetty, Mohan, Jonas Blomberg, Farid Benachenhou, Göran Sperber, & Karen Beemon. (2012). Unexpected Diversity and Expression of Avian Endogenous Retroviruses. mBio. 3(5). e00344–12. 45 indexed citations
18.
Bolisetty, Mohan, et al.. (2009). Reticuloendotheliosis Virus Strain T Induces miR-155, Which Targets JARID2 and Promotes Cell Survival. Journal of Virology. 83(23). 12009–12017. 79 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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