Vijay Ramani

6.6k total citations · 2 hit papers
66 papers, 3.9k citations indexed

About

Vijay Ramani is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Vijay Ramani has authored 66 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 14 papers in Surgery and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Vijay Ramani's work include Genomics and Chromatin Dynamics (19 papers), Single-cell and spatial transcriptomics (9 papers) and Prostate Cancer Treatment and Research (8 papers). Vijay Ramani is often cited by papers focused on Genomics and Chromatin Dynamics (19 papers), Single-cell and spatial transcriptomics (9 papers) and Prostate Cancer Treatment and Research (8 papers). Vijay Ramani collaborates with scholars based in United States, United Kingdom and Germany. Vijay Ramani's co-authors include Jay Shendure, Frank J. Steemers, Cole Trapnell, Riza M. Daza, Junyue Cao, Jonathan S. Packer, Noel W. Clarke, Darren A. Cusanovich, Andrew C. Adey and Ruolan Qiu and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Vijay Ramani

63 papers receiving 3.9k citations

Hit Papers

Comprehensive single-cell transcriptional profiling of a ... 2017 2026 2020 2023 2017 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vijay Ramani United States 25 2.9k 558 538 449 369 66 3.9k
Kai Tan United States 36 2.8k 1.0× 389 0.7× 360 0.7× 686 1.5× 117 0.3× 98 3.9k
Raktima Raychowdhury United States 21 3.1k 1.1× 563 1.0× 528 1.0× 917 2.0× 594 1.6× 32 4.4k
Tamir Chandra United Kingdom 25 3.4k 1.2× 606 1.1× 433 0.8× 1.2k 2.6× 106 0.3× 47 4.6k
Cátálin Bárbácioru United States 19 3.7k 1.3× 1.1k 2.0× 622 1.2× 589 1.3× 237 0.6× 34 4.9k
Asim Siddiqui Canada 16 3.0k 1.0× 815 1.5× 328 0.6× 546 1.2× 198 0.5× 30 4.3k
Darren A. Cusanovich United States 18 4.1k 1.4× 818 1.5× 278 0.5× 528 1.2× 105 0.3× 28 4.7k
Iain C. Macaulay United Kingdom 35 4.4k 1.5× 1.1k 2.0× 457 0.8× 1.2k 2.6× 249 0.7× 62 5.9k
Hana Imrichová Belgium 17 3.8k 1.3× 874 1.6× 1.1k 2.1× 1.5k 3.4× 235 0.6× 23 5.5k
Arttu Jolma Sweden 19 5.4k 1.9× 669 1.2× 374 0.7× 452 1.0× 126 0.3× 25 6.3k
Hideya Kawaji Japan 40 4.2k 1.5× 1.3k 2.4× 421 0.8× 927 2.1× 216 0.6× 126 5.7k

Countries citing papers authored by Vijay Ramani

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Ramani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Ramani

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Ramani. A scholar is included among the top collaborators of Vijay Ramani 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 Vijay Ramani. Vijay Ramani 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.
Chio, Un Seng, et al.. (2025). HMGB1 deforms nucleosomal DNA to generate a dynamic chromatin environment counteracting the effects of linker histone. Science Advances. 11(33). eads4473–eads4473. 1 indexed citations
2.
Freie, Brian, Patrick A. Carroll, Barbara Varnum‐Finney, et al.. (2024). A germline point mutation in the MYC-FBW7 phosphodegron initiates hematopoietic malignancies. Genes & Development. 38(5-6). 253–272. 3 indexed citations
3.
Nanda, Arjun S., Ke Wu, Iryna Irkliyenko, et al.. (2024). Direct transposition of native DNA for sensitive multimodal single-molecule sequencing. Nature Genetics. 56(6). 1300–1309. 8 indexed citations
4.
Nora, Elphège P., et al.. (2024). Beyond genomic weaving: molecular roles for CTCF outside cohesin loop extrusion. Current Opinion in Genetics & Development. 90. 102298–102298. 3 indexed citations
5.
Suresh, Harsha Garadi, Henry N. Ward, Ian Jones, et al.. (2024). The PRC2.1 subcomplex opposes G1 progression through regulation of CCND1 and CCND2. eLife. 13.
6.
Bonora, Giancarlo, Vijay Ramani, Ritambhara Singh, et al.. (2021). Single-cell landscape of nuclear configuration and gene expression during stem cell differentiation and X inactivation. Genome biology. 22(1). 279–279. 16 indexed citations
7.
Carroll, Patrick A., Brian Freie, Pei Cheng, et al.. (2021). The glucose-sensing transcription factor MLX balances metabolism and stress to suppress apoptosis and maintain spermatogenesis. PLoS Biology. 19(10). e3001085–e3001085. 13 indexed citations
8.
Yardımcı, Galip Gürkan, Giancarlo Bonora, Vijay Ramani, et al.. (2020). Capturing cell type-specific chromatin compartment patterns by applying topic modeling to single-cell Hi-C data. PLoS Computational Biology. 16(9). e1008173–e1008173. 57 indexed citations
9.
Srivatsan, Sanjay, José L. McFaline‐Figueroa, Vijay Ramani, et al.. (2019). Massively multiplex chemical transcriptomics at single-cell resolution. Science. 367(6473). 45–51. 198 indexed citations
10.
Ramani, Vijay, Xinxian Deng, Ruolan Qiu, et al.. (2019). Sci-Hi-C: A single-cell Hi-C method for mapping 3D genome organization in large number of single cells. Methods. 170. 61–68. 57 indexed citations
11.
Cao, Junyue, Darren A. Cusanovich, Vijay Ramani, et al.. (2018). Joint profiling of chromatin accessibility and gene expression in thousands of single cells. Science. 361(6409). 1380–1385. 585 indexed citations breakdown →
12.
Bonora, Giancarlo, Xinxian Deng, He Fang, et al.. (2018). Orientation-dependent Dxz4 contacts shape the 3D structure of the inactive X chromosome. Nature Communications. 9(1). 1445–1445. 50 indexed citations
13.
Cao, Junyue, Jonathan S. Packer, Vijay Ramani, et al.. (2017). Comprehensive single-cell transcriptional profiling of a multicellular organism. Science. 357(6352). 661–667. 896 indexed citations breakdown →
14.
Ramani, Vijay, Xinxian Deng, Ruolan Qiu, et al.. (2017). Massively multiplex single-cell Hi-C. Nature Methods. 14(3). 263–266. 380 indexed citations
15.
Ramani, Vijay, Jay Shendure, & Zhijun Duan. (2016). Understanding Spatial Genome Organization: Methods and Insights. Genomics Proteomics & Bioinformatics. 14(1). 7–20. 42 indexed citations
16.
Ramani, Vijay, Darren A. Cusanovich, Ronald J. Hause, et al.. (2016). Mapping 3D genome architecture through in situ DNase Hi-C. Nature Protocols. 11(11). 2104–2121. 81 indexed citations
17.
Deng, Xinxian, Wenxiu Ma, Vijay Ramani, et al.. (2015). Bipartite structure of the inactive mouse X chromosome. Genome biology. 16(1). 152–152. 170 indexed citations
18.
Anandadas, Carmel, S.E. Davidson, Noel W. Clarke, et al.. (2011). Quality of Life in Men Treated for Early Prostate Cancer: A Prospective Patient Preference Cohort Study. Journal of Cancer Therapy. 2(4). 448–457. 1 indexed citations
19.
Samuel, J., et al.. (2009). Hoechst 33342 Side Population Identification Is a Conserved and Unified Mechanism in Urological Cancers. Stem Cells and Development. 18(10). 1515–1522. 47 indexed citations
20.
Hart, Claire A., et al.. (2004). Differential Inhibition of Invasion and Proliferation by Bisphosphonates: Anti-Metastatic Potential of Zoledronic Acid in Prostate Cancer. European Urology. 46(3). 389–402. 45 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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