Robi D. Mitra

9.0k total citations · 2 hit papers
97 papers, 5.6k citations indexed

About

Robi D. Mitra is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Robi D. Mitra has authored 97 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 15 papers in Genetics and 8 papers in Plant Science. Recurrent topics in Robi D. Mitra's work include Genomics and Chromatin Dynamics (20 papers), CRISPR and Genetic Engineering (17 papers) and RNA and protein synthesis mechanisms (17 papers). Robi D. Mitra is often cited by papers focused on Genomics and Chromatin Dynamics (20 papers), CRISPR and Genetic Engineering (17 papers) and RNA and protein synthesis mechanisms (17 papers). Robi D. Mitra collaborates with scholars based in United States, Finland and Italy. Robi D. Mitra's co-authors include George M. Church, Jay Shendure, Barak A. Cohen, Jason D. Hughes, Gregory J. Porreca, Kun Zhang, Chris Varma, Nikos B. Reppas, John P. McCutcheon and Xiaoxia Lin and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Robi D. Mitra

92 papers receiving 5.5k citations

Hit Papers

Accurate Multiplex Polony Sequencing of an Evolved Bacter... 2005 2026 2012 2019 2005 2009 250 500 750

Peers

Robi D. Mitra
Mark S. Chee United States
Winston Timp United States
Michael L. Metzker United States
Mo Li China
Ghia Euskirchen United States
Emily M LeProust United States
Ambrosius P. Snijders United Kingdom
Mark S. Chee United States
Robi D. Mitra
Citations per year, relative to Robi D. Mitra Robi D. Mitra (= 1×) peers Mark S. Chee

Countries citing papers authored by Robi D. Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Robi D. Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robi D. Mitra. 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 Robi D. Mitra. The network helps show where Robi D. Mitra may publish in the future.

Co-authorship network of co-authors of Robi D. Mitra

This figure shows the co-authorship network connecting the top 25 collaborators of Robi D. Mitra. A scholar is included among the top collaborators of Robi D. Mitra 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 Robi D. Mitra. Robi D. Mitra 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
1.
Valentine, Mark C., Mary M. Mullen, Matthew A. Powell, et al.. (2025). Multiomic Characterization of Pre- and Post-Neoadjuvant Chemotherapy–Treated Ovarian Cancer Reveals Mediators of Tumorigenesis and Chemotherapy Response. Cancer Research. 85(18). 3558–3570. 1 indexed citations
2.
Chen, Xuhua, Yuanxin Wu, Jiayang Chen, et al.. (2024). MYT1L deficiency impairs excitatory neuron trajectory during cortical development. Nature Communications. 15(1). 10308–10308. 2 indexed citations
3.
Guo, Juanru, Xuhua Chen, Lucy Chen, et al.. (2024). Pycallingcards: an integrated environment for visualizing, analyzing, and interpreting Calling Cards data. Bioinformatics. 40(2).
4.
Mitra, Robi D., et al.. (2023). Epigenetic regulation of hybrid epithelial-mesenchymal cell states in cancer. Oncogene. 42(29). 2237–2248. 16 indexed citations
5.
Chen, Xuhua, et al.. (2023). Zinc cluster transcription factors frequently activate target genes using a non-canonical half-site binding mode. Nucleic Acids Research. 51(10). 5006–5021. 1 indexed citations
6.
Wong, Jason P., Lloyd D. Tripp, Lauren Broestl, et al.. (2023). CSIG-10. SEX-DIFFERENCES IN NF-ΚB SIGNALING DRIVE SEX-BIASED RESPONSES TOWARDS SENESCENCE AND INFLAMMATION IN GLIOBLASTOMA. Neuro-Oncology. 25(Supplement_5). v42–v42.
7.
Lalli, Matthew A., Fengping Dong, Xuhua Chen, et al.. (2022). Measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes. NAR Genomics and Bioinformatics. 4(3). lqac061–lqac061. 1 indexed citations
8.
Kfoury, Najla, Zongtai Qi, Briana C. Prager, et al.. (2021). Brd4-bound enhancers drive cell-intrinsic sex differences in glioblastoma. Proceedings of the National Academy of Sciences. 118(16). 28 indexed citations
9.
Liu, Chang, et al.. (2021). High-resolution HLA typing by long reads from the R10.3 Oxford nanopore flow cells. Human Immunology. 82(4). 288–295. 27 indexed citations
10.
Li, Daofeng, et al.. (2020). The qBED track: a novel genome browser visualization for point processes. Bioinformatics. 37(8). 1168–1170. 3 indexed citations
11.
Lalli, Matthew A., Xuhua Chen, Catrina C. Fronick, et al.. (2020). Rapid and Extraction-Free Detection of SARS-CoV-2 from Saliva by Colorimetric Reverse-Transcription Loop-Mediated Isothermal Amplification. Clinical Chemistry. 67(2). 415–424. 172 indexed citations
12.
Cammack, Alexander J., Jiayang Chen, Michael J. Vasek, et al.. (2020). A viral toolkit for recording transcription factor–DNA interactions in live mouse tissues. Proceedings of the National Academy of Sciences. 117(18). 10003–10014. 13 indexed citations
13.
Mitra, Robi D., et al.. (2020). Quantitative analysis of transcription factor binding and expression using calling cards reporter arrays. Nucleic Acids Research. 48(9). e50–e50. 7 indexed citations
14.
Kang, Yiming, Nikhil Patel, Xuhua Chen, et al.. (2020). Dual threshold optimization and network inference reveal convergent evidence from TF binding locations and TF perturbation responses. Genome Research. 30(3). 459–471. 17 indexed citations
15.
Avey, Denis, Sumithra Sankararaman, Aldrin Kay‐Yuen Yim, et al.. (2018). Single-Cell RNA-Seq Uncovers a Robust Transcriptional Response to Morphine by Glia. Cell Reports. 24(13). 3619–3629.e4. 91 indexed citations
16.
Qi, Zongtai, et al.. (2018). Transposase mapping identifies the genomic targets of BAP1 in uveal melanoma. BMC Medical Genomics. 11(1). 97–97. 7 indexed citations
17.
Pihlajoki, Marjut, Rebecca Cochran, Anja Schrade, et al.. (2014). Toying with fate: Redirecting the differentiation of adrenocortical progenitor cells into gonadal-like tissue. Molecular and Cellular Endocrinology. 408. 165–177. 12 indexed citations
18.
Schillebeeckx, Maximiliaan, Marjut Pihlajoki, Wei Yang, et al.. (2014). Novel markers of gonadectomy-induced adrenocortical neoplasia in the mouse and ferret. Molecular and Cellular Endocrinology. 399. 122–130. 23 indexed citations
19.
Wang, Haoyi, David Mayhew, Xuhua Chen, Mark Johnston, & Robi D. Mitra. (2011). Calling Cards enable multiplexed identification of the genomic targets of DNA-binding proteins. Genome Research. 21(5). 748–755. 37 indexed citations
20.
Shendure, Jay, Gregory J. Porreca, Nikos B. Reppas, et al.. (2005). Accurate Multiplex Polony Sequencing of an Evolved Bacterial Genome. Science. 309(5741). 1728–1732. 860 indexed citations breakdown →

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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