Niranjan Srinivas

4.4k total citations · 3 hit papers
8 papers, 2.6k citations indexed

About

Niranjan Srinivas is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Niranjan Srinivas has authored 8 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Niranjan Srinivas's work include DNA and Nucleic Acid Chemistry (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Niranjan Srinivas is often cited by papers focused on DNA and Nucleic Acid Chemistry (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Niranjan Srinivas collaborates with scholars based in United States, United Kingdom and Switzerland. Niranjan Srinivas's co-authors include Matthias Seeger, Andreas Krause, Sham M. Kakade, Erik Winfree, David Soloveichik, Georg Seelig, Ard A. Louis, Jonathan P. K. Doye, Joseph Schaeffer and Bernard Yurke and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Niranjan Srinivas

8 papers receiving 2.5k citations

Hit Papers

Information-Theoretic Regret Bounds for Gaussian Process ... 2009 2026 2014 2020 2012 2009 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niranjan Srinivas United States 8 1.5k 580 406 374 304 8 2.6k
Anne Condon United States 31 2.4k 1.6× 913 1.6× 130 0.3× 683 1.8× 200 0.7× 116 4.0k
Bin Qian China 31 946 0.6× 575 1.0× 64 0.2× 218 0.6× 55 0.2× 149 3.1k
Sanguthevar Rajasekaran United States 29 1.1k 0.7× 1.2k 2.0× 131 0.3× 554 1.5× 87 0.3× 266 3.6k
Peter Dittrich Germany 25 1.2k 0.8× 220 0.4× 139 0.3× 133 0.4× 53 0.2× 102 2.0k
Fangfei Li China 31 1.6k 1.0× 260 0.4× 276 0.7× 538 1.4× 68 0.2× 93 2.7k
Pekka Orponen Finland 17 701 0.5× 324 0.6× 200 0.5× 243 0.6× 43 0.1× 58 1.4k
Linqiang Pan China 44 4.4k 2.9× 960 1.7× 237 0.6× 1.6k 4.4× 153 0.5× 244 5.9k
Chee Lap Chow Singapore 12 173 0.1× 1.4k 2.4× 258 0.6× 174 0.5× 183 0.6× 24 2.7k
Jonathan E. Rowe United Kingdom 18 235 0.2× 756 1.3× 78 0.2× 370 1.0× 88 0.3× 81 1.5k

Countries citing papers authored by Niranjan Srinivas

Since Specialization
Citations

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

Fields of papers citing papers by Niranjan Srinivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niranjan Srinivas

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

All Works

8 of 8 papers shown
1.
Replogle, Joseph M., Thomas M. Norman, Albert Xu, et al.. (2020). Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing. Nature Biotechnology. 38(8). 954–961. 229 indexed citations
2.
Li, Wei, Robert F. Johnson, Zibo Chen, et al.. (2017). A cargo-sorting DNA robot. Science. 357(6356). 432 indexed citations breakdown →
3.
Srinivas, Niranjan, et al.. (2017). Enzyme-free nucleic acid dynamical systems. Science. 358(6369). 257 indexed citations
4.
Chen, Yuan-Jyue, Neil Dalchau, Niranjan Srinivas, et al.. (2013). Programmable chemical controllers made from DNA. Nature Nanotechnology. 8(10). 755–762. 305 indexed citations
5.
Srinivas, Niranjan, Thomas E. Ouldridge, Petr Šulc, et al.. (2013). On the biophysics and kinetics of toehold-mediated DNA strand displacement. Nucleic Acids Research. 41(22). 10641–10658. 377 indexed citations
6.
Srinivas, Niranjan, Andreas Krause, Sham M. Kakade, & Matthias Seeger. (2012). Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting. IEEE Transactions on Information Theory. 58(5). 3250–3265. 507 indexed citations breakdown →
7.
Srinivas, Niranjan, Andreas Krause, Sham M. Kakade, & Matthias Seeger. (2009). Gaussian Process Bandits without Regret: An Experimental Design Approach. arXiv (Cornell University). 21 indexed citations
8.
Srinivas, Niranjan, Andreas Krause, Sham M. Kakade, & Matthias Seeger. (2009). Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1015–1022. 462 indexed citations breakdown →

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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