Smita Krishnaswamy

293 total papers · 11.0k total citations
94 papers, 5.4k citations indexed

About

Smita Krishnaswamy is a scholar working on Molecular Biology, Biophysics and Artificial Intelligence. According to data from OpenAlex, Smita Krishnaswamy has authored 94 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 17 papers in Biophysics and 16 papers in Artificial Intelligence. Recurrent topics in Smita Krishnaswamy's work include Single-cell and spatial transcriptomics (28 papers), Cell Image Analysis Techniques (17 papers) and VLSI and Analog Circuit Testing (10 papers). Smita Krishnaswamy is often cited by papers focused on Single-cell and spatial transcriptomics (28 papers), Cell Image Analysis Techniques (17 papers) and VLSI and Analog Circuit Testing (10 papers). Smita Krishnaswamy collaborates with scholars based in United States, Canada and Australia. Smita Krishnaswamy's co-authors include Dana Pe’er, Garry P. Nolan, Sean C. Bendall, David van Dijk, Erin F. Simonds, Guy Wolf, El-ad David Amir, Kevin R. Moon, Igor L. Markov and Kara L. Davis and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Smita Krishnaswamy

88 papers receiving 5.3k citations

Hit Papers

viSNE enables visualizati... 2013 2026 2017 2021 2013 2018 2019 2013 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Smita Krishnaswamy 2.9k 1.6k 798 715 538 94 5.4k
Jong Kim 3.6k 1.3× 836 0.5× 352 0.4× 327 0.5× 1.0k 1.9× 133 6.1k
Kun Huang 2.8k 1.0× 368 0.2× 721 0.9× 349 0.5× 993 1.8× 325 6.6k
Kwang‐Hyun Cho 3.0k 1.0× 331 0.2× 526 0.7× 212 0.3× 338 0.6× 251 4.8k
Péter Horváth 2.0k 0.7× 266 0.2× 352 0.4× 716 1.0× 217 0.4× 159 4.2k
Andrew Adams 719 0.3× 2.6k 1.7× 409 0.5× 269 0.4× 56 0.1× 166 10.1k
Matthias Krause 1.7k 0.6× 447 0.3× 293 0.4× 204 0.3× 192 0.4× 54 4.1k
Raphaël Gottardo 5.2k 1.8× 2.4k 1.5× 1.4k 1.7× 713 1.0× 956 1.8× 130 8.6k
Ron Weiss 10.5k 3.7× 435 0.3× 552 0.7× 553 0.8× 227 0.4× 139 12.8k
Robert Carter 1.6k 0.6× 2.0k 1.3× 788 1.0× 35 0.0× 629 1.2× 43 4.6k
Lee Cooper 1.1k 0.4× 295 0.2× 655 0.8× 499 0.7× 667 1.2× 117 4.3k

Countries citing papers authored by Smita Krishnaswamy

Since Specialization
Citations

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

Fields of papers citing papers by Smita Krishnaswamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Smita Krishnaswamy

This figure shows the co-authorship network connecting the top 25 collaborators of Smita Krishnaswamy. A scholar is included among the top collaborators of Smita Krishnaswamy 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 Smita Krishnaswamy. Smita Krishnaswamy 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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