Sanjay Srivatsan

6.5k citations
27 papers · 1.7k indexed · 2 hit papers · h-index 17
Topics
Single-cell and spatial transcriptomics (16 papers)Genomics and Chromatin Dynamics (4 papers)Zebrafish Biomedical Research Applications (3 papers)

In The Last Decade

Sanjay Srivatsan

27 papers receiving 1.7k citations

Hit Papers

Cicero Predicts cis-Regulatory DNA Interactions from Sing...201820262020202320182023100200300400

Peers

Sanjay Srivatsan
Comparison fields: 5 of 104
  • Molecular Biology 1.3k
  • Immunology 420
  • Cancer Research 204
  • Biophysics 203
  • Oncology 135
Replace Brian Houck‐Loomis with:
Brian Houck‐Loomis United States
Leïla Perié France
Michael J. T. Stubbington United Kingdom
Andreas Maiser Germany
Alicia N. Schep United States
Meena Subramaniam United States
Gregor Cicchetti United States
Dave Gennert United States
Hiroko Yaguchi Japan
Carmen Gerlach Netherlands
Sanjay Srivatsan relative to Brian Houck‐Loomis United States Brian Houck‐Loomis's profile →
Citations per field
00.5×1.5×
Brian Houck‐Loomis · 1×
Citations per year

Countries citing papers authored by Sanjay Srivatsan

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Srivatsan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Srivatsan

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Srivatsan. A scholar is included among the top collaborators of Sanjay Srivatsan 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 Sanjay Srivatsan. Sanjay Srivatsan 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 2
2 12
3 10
4 5
5
Predicting cellular responses to complex perturbations in high‐throughput screensbreakdown →
97
6 20
7 1
8 19
9 61
10 85
11 5
12 16
13 170
14 60
15 198
16 47
17 150
18 38
19 41
20 12

About Sanjay Srivatsan

Sanjay Srivatsan is a scholar working on Aging, Biophysics and Virology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (16 papers), Genomics and Chromatin Dynamics (4 papers) and Zebrafish Biomedical Research Applications (3 papers). The work is most often cited by research in Biophysics (203 citations), Virology (130 citations) and Immunology (420 citations). Sanjay Srivatsan has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Cole Trapnell, Jay Shendure, Dana L. Jackson, Jonathan S. Packer, José L. McFaline‐Figueroa, Riza M. Daza, Frank J. Steemers, Hannah A. Pliner, Xiaojie Qiu and Andrew C. Adey. Their work appears in journals such as Nature, Science and Cell.

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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