Vijay Ramani

6.6k citations
66 papers · 3.9k indexed · 2 hit papers · h-index 25
Topics
Genomics and Chromatin Dynamics (19 papers)Single-cell and spatial transcriptomics (9 papers)Prostate Cancer Treatment and Research (8 papers)

In The Last Decade

Vijay Ramani

63 papers receiving 3.9k citations

Hit Papers

Comprehensive single-cell transcriptional profiling of a ...201720262020202320172018250500750

Peers

Vijay Ramani
Comparison fields: 5 of 138
  • Molecular Biology 2.9k
  • Cancer Research 558
  • Oncology 538
  • Immunology 449
  • Surgery 369
Replace Iain C. Macaulay with:
Iain C. Macaulay United Kingdom
Hana Imrichová Belgium
Jeroen P. Roose United States
Steven S.S. Poon Canada
Tushar Desai United States
Kai Tan United States
Kevin D. Mills United States
Tamir Chandra United Kingdom
Etsuko Kiyokawa Japan
Irina Issaeva Israel
Vijay Ramani relative to Iain C. Macaulay United Kingdom Iain C. Macaulay's profile →
Citations per field
00.5×1.5×
Iain C. Macaulay · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 8
3 3
4 3
5 0
6 16
7 13
8 57
9 198
10 57
11 50
12
Joint profiling of chromatin accessibility and gene expression in thousands of single cellsbreakdown →
585
13 380
14
Comprehensive single-cell transcriptional profiling of a multicellular organismbreakdown →
896
15 81
16 42
17 170
18 1
19 47
20 45

About Vijay Ramani

Vijay Ramani is a scholar working on Aging, Molecular Biology and Cancer Research, having authored 66 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (19 papers), Single-cell and spatial transcriptomics (9 papers) and Prostate Cancer Treatment and Research (8 papers). The work is most often cited by research in Aging (204 citations), Biophysics (301 citations) and Molecular Biology (2.9k citations). Vijay Ramani has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jay Shendure, Frank J. Steemers, Cole Trapnell, Jonathan S. Packer, Junyue Cao, Riza M. Daza, Noel W. Clarke, Darren A. Cusanovich, Andrew C. Adey and Zhijun Duan. Their work appears in journals such as Science, Cell and Nature Communications.

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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