Vijay Ramani

154 total papers · 6.4k total citations
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, Jonathan S. Packer, Junyue Cao, Noel W. Clarke, Darren A. Cusanovich, Andrew C. Adey and Zhijun Duan and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Vijay Ramani

63 papers receiving 3.8k citations

Hit Papers

Comprehensive single-cell... 2017 2026 2020 2023 2017 2018 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vijay Ramani 2.8k 555 538 447 364 66 3.9k
Guglielmo Roma 2.3k 0.8× 386 0.7× 472 0.9× 473 1.1× 320 0.9× 60 4.1k
Kai Tan 2.8k 1.0× 387 0.7× 355 0.7× 682 1.5× 116 0.3× 97 3.9k
Brian B. Tuch 4.4k 1.6× 871 1.6× 811 1.5× 486 1.1× 145 0.4× 36 6.2k
Pontus Aspenström 5.2k 1.8× 417 0.8× 611 1.1× 686 1.5× 170 0.5× 95 7.3k
Malte Spielmann 3.9k 1.4× 677 1.2× 352 0.7× 785 1.8× 275 0.8× 89 5.6k
Traver Hart 3.8k 1.4× 815 1.5× 665 1.2× 316 0.7× 109 0.3× 61 4.7k
Aaron T. L. Lun 4.7k 1.7× 1.1k 1.9× 511 0.9× 1.4k 3.1× 259 0.7× 44 6.2k
Raktima Raychowdhury 3.0k 1.1× 563 1.0× 525 1.0× 915 2.0× 594 1.6× 32 4.4k
Antonio Scialdone 3.5k 1.2× 592 1.1× 380 0.7× 545 1.2× 220 0.6× 82 5.1k
Charlotte Soneson 2.7k 1.0× 806 1.5× 888 1.7× 789 1.8× 200 0.5× 69 4.5k

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

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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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