Krishna Shrinivas

8.8k total citations · 4 hit papers
17 papers, 3.6k citations indexed

About

Krishna Shrinivas is a scholar working on Molecular Biology, Materials Chemistry and Infectious Diseases. According to data from OpenAlex, Krishna Shrinivas has authored 17 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Materials Chemistry and 1 paper in Infectious Diseases. Recurrent topics in Krishna Shrinivas's work include RNA Research and Splicing (11 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Chromatin Dynamics (5 papers). Krishna Shrinivas is often cited by papers focused on RNA Research and Splicing (11 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Chromatin Dynamics (5 papers). Krishna Shrinivas collaborates with scholars based in United States, India and Switzerland. Krishna Shrinivas's co-authors include Richard A. Young, Phillip A. Sharp, Arup K. Chakraborty, Denes Hnisz, Alicia V. Zamudio, Nancy M. Hannett, Benjamin R. Sabari, Ann Boija, Tong Ihn Lee and Eliot L. Coffey and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Krishna Shrinivas

17 papers receiving 3.6k citations

Hit Papers

Transcription Factors Activate Genes through the Phase-Se... 2017 2026 2020 2023 2018 2017 2019 2020 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishna Shrinivas United States 10 3.4k 287 226 192 148 17 3.6k
Alicia V. Zamudio United States 9 3.1k 0.9× 297 1.0× 247 1.1× 285 1.5× 143 1.0× 9 3.3k
Ann Boija United States 13 2.3k 0.7× 183 0.6× 146 0.6× 162 0.8× 87 0.6× 20 2.5k
Gina M. Dailey United States 16 2.0k 0.6× 215 0.7× 131 0.6× 163 0.8× 93 0.6× 24 2.2k
Charles H. Li United States 18 4.0k 1.2× 462 1.6× 362 1.6× 558 2.9× 240 1.6× 21 4.5k
Andreas Mayer Germany 26 2.7k 0.8× 144 0.5× 163 0.7× 190 1.0× 74 0.5× 48 3.0k
Saskia Hutten Germany 21 2.5k 0.7× 117 0.4× 137 0.6× 164 0.9× 132 0.9× 31 2.9k
Ibrahim I. Cissé United States 17 3.0k 0.9× 207 0.7× 126 0.6× 155 0.8× 78 0.5× 24 3.3k
Saumya Jain United States 11 3.4k 1.0× 137 0.5× 158 0.7× 95 0.5× 158 1.1× 19 3.7k
Judith B. Zaugg Germany 26 2.1k 0.6× 224 0.8× 286 1.3× 472 2.5× 268 1.8× 56 2.7k
Anders S. Hansen United States 28 3.9k 1.2× 672 2.3× 142 0.6× 327 1.7× 230 1.6× 49 4.4k

Countries citing papers authored by Krishna Shrinivas

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Shrinivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Shrinivas

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Shrinivas. A scholar is included among the top collaborators of Krishna Shrinivas 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 Krishna Shrinivas. Krishna Shrinivas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Snead, Wilton T., et al.. (2025). Immiscible proteins compete for RNA binding to order condensate layers. Proceedings of the National Academy of Sciences. 122(32). e2504778122–e2504778122. 2 indexed citations
2.
Brenner, Michael P., et al.. (2025). Generalized design of sequence–ensemble–function relationships for intrinsically disordered proteins. Nature Computational Science. 1 indexed citations
3.
Shrinivas, Krishna, et al.. (2023). A model for cis-regulation of transcriptional condensates and gene expression by proximal lncRNAs. Biophysical Journal. 122(13). 2757–2772. 6 indexed citations
4.
Chakraborty, Arup K., et al.. (2023). A model for organization and regulation of nuclear condensates by gene activity. Nature Communications. 14(1). 4152–4152. 19 indexed citations
5.
Lu, Wen, Ynes Helou, Krishna Shrinivas, et al.. (2022). The phosphatidylinositol-transfer protein Nir3 promotes PI(4,5)P2 replenishment in response to TCR signaling during T cell development and survival. Nature Immunology. 24(1). 136–147. 14 indexed citations
6.
Shrinivas, Krishna & Michael P. Brenner. (2021). Phase separation in fluids with many interacting components. Proceedings of the National Academy of Sciences. 118(45). 43 indexed citations
7.
Henninger, Jonathan E., Ozgur Oksuz, Krishna Shrinivas, et al.. (2020). RNA-Mediated Feedback Control of Transcriptional Condensates. Cell. 184(1). 207–225.e24. 365 indexed citations breakdown →
8.
Shrinivas, Krishna, et al.. (2020). Poultry gut microbiota – composition and its role in health, immunity and production performance. Indian Journal of Animal Health. 59(2-Spl). 164–180. 2 indexed citations
9.
Manteiga, John C., Lena K. Afeyan, Krishna Shrinivas, et al.. (2019). Pol II phosphorylation regulates a switch between transcriptional and splicing condensates. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
10.
Guo, Yang, John C. Manteiga, Jonathan E. Henninger, et al.. (2019). Pol II phosphorylation regulates a switch between transcriptional and splicing condensates. Nature. 572(7770). 543–548. 455 indexed citations breakdown →
11.
Shrinivas, Krishna, Benjamin R. Sabari, Eliot L. Coffey, et al.. (2019). Enhancer Features that Drive Formation of Transcriptional Condensates. Molecular Cell. 75(3). 549–561.e7. 281 indexed citations
12.
Boija, Ann, Isaac A. Klein, Benjamin R. Sabari, et al.. (2018). Transcription Factors Activate Genes through the Phase-Separation Capacity of Their Activation Domains. Cell. 175(7). 1842–1855.e16. 1200 indexed citations breakdown →
13.
Shrinivas, Krishna & Upendra Natarajan. (2018). A Self-Consistent Lattice Formulation for Thermodynamic Properties of Multi-Component Polymer Mixtures Adsorbed at Solid Interfaces. Journal of Macromolecular Science Part B. 57(6). 395–417. 1 indexed citations
14.
Gao, Ang, et al.. (2018). Evolution of weak cooperative interactions for biological specificity. Proceedings of the National Academy of Sciences. 115(47). E11053–E11060. 31 indexed citations
15.
Hnisz, Denes, Krishna Shrinivas, Richard A. Young, Arup K. Chakraborty, & Phillip A. Sharp. (2017). A Phase Separation Model for Transcriptional Control. Cell. 169(1). 13–23. 1182 indexed citations breakdown →
16.
Shrinivas, Krishna, Ravindra V. Ghorpade, Renu Vyas, et al.. (2015). Prediction of Reactivity Ratios in Free Radical Copolymerization from Monomer Resonance Polarity ( Q–e ) Parameters: Genetic Programming-Based Models. International Journal of Chemical Reactor Engineering. 14(1). 361–372. 3 indexed citations
17.
Roy, Susmita, Krishna Shrinivas, & Biman Bagchi. (2014). A Stochastic Chemical Dynamic Approach to Correlate Autoimmunity and Optimal Vitamin-D Range. PLoS ONE. 9(6). e100635–e100635. 15 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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