David Soloveichik

4.9k total citations · 1 hit paper
29 papers, 2.7k citations indexed

About

David Soloveichik is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, David Soloveichik has authored 29 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 6 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in David Soloveichik's work include Advanced biosensing and bioanalysis techniques (20 papers), DNA and Biological Computing (19 papers) and Gene Regulatory Network Analysis (9 papers). David Soloveichik is often cited by papers focused on Advanced biosensing and bioanalysis techniques (20 papers), DNA and Biological Computing (19 papers) and Gene Regulatory Network Analysis (9 papers). David Soloveichik collaborates with scholars based in United States, Taiwan and Switzerland. David Soloveichik's co-authors include Erik Winfree, Georg Seelig, David Y. Zhang, Niranjan Srinivas, Luca Cardelli, Andrew Phillips, Yuan-Jyue Chen, Neil Dalchau, Matthew Cook and Jehoshua Bruck and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

David Soloveichik

26 papers receiving 2.6k citations

Hit Papers

Enzyme-Free Nucleic Acid Logic Circuits 2006 2026 2012 2019 2006 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Enzyme-Free Nucleic Acid Logic Circuits
    2006 1.2k citations Georg Seelig, David Soloveichik et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Soloveichik United States 13 2.5k 599 400 203 170 29 2.7k
Yaakov Benenson Switzerland 24 3.3k 1.3× 612 1.0× 378 0.9× 208 1.0× 226 1.3× 54 3.6k
Lulu Qian China 18 3.6k 1.4× 1.0k 1.7× 590 1.5× 256 1.3× 287 1.7× 51 4.0k
Darko Stefanović United States 23 2.1k 0.9× 619 1.0× 634 1.6× 160 0.8× 82 0.5× 59 2.7k
Yuan-Jyue Chen United States 15 1.4k 0.6× 319 0.5× 181 0.5× 91 0.4× 157 0.9× 21 1.5k
Jeff Nivala United States 15 1.1k 0.5× 604 1.0× 165 0.4× 87 0.4× 160 0.9× 26 1.5k
Rebecca Schulman United States 23 1.6k 0.6× 524 0.9× 130 0.3× 70 0.3× 384 2.3× 71 2.0k
Damien Woods United States 12 737 0.3× 248 0.4× 206 0.5× 158 0.8× 180 1.1× 33 1.0k
Thomas E. Ouldridge United Kingdom 28 2.4k 1.0× 536 0.9× 183 0.5× 57 0.3× 77 0.5× 62 2.8k
Chris Dwyer United States 20 779 0.3× 322 0.5× 470 1.2× 79 0.4× 76 0.4× 51 1.2k
Masami Hagiya Japan 14 828 0.3× 169 0.3× 82 0.2× 183 0.9× 221 1.3× 95 1.2k

Countries citing papers authored by David Soloveichik

Since Specialization
Citations

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

Fields of papers citing papers by David Soloveichik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Soloveichik

This figure shows the co-authorship network connecting the top 25 collaborators of David Soloveichik. A scholar is included among the top collaborators of David Soloveichik 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 David Soloveichik. David Soloveichik 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
1.
Soloveichik, David, et al.. (2025). Tight Bounds on the Spooky Pebble Game: Recycling Qubits with Measurements. Quantum. 9. 1636–1636.
2.
Chen, Ho-Lin, et al.. (2023). Rate-independent Computation in Continuous Chemical Reaction Networks. Journal of the ACM. 70(3). 1–61. 1 indexed citations
3.
Khurshid, Sarfraz, et al.. (2022). Programming and training rate-independent chemical reaction networks. Proceedings of the National Academy of Sciences. 119(24). e2111552119–e2111552119. 8 indexed citations
4.
Tabatabaei, S. Kasra, Boya Wang, Behnam Enghiad, et al.. (2020). DNA punch cards for storing data on native DNA sequences via enzymatic nicking. Nature Communications. 11(1). 1742–1742. 82 indexed citations
5.
Soloveichik, David, et al.. (2020). CRN++: Molecular programming language. Natural Computing. 19(2). 391–407. 15 indexed citations
6.
Soloveichik, David, et al.. (2019). Composable Rate-Independent Computation in Continuous Chemical Reaction Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(1). 250–260. 2 indexed citations
7.
Srinivas, Niranjan, et al.. (2017). Enzyme-free nucleic acid dynamical systems. Science. 358(6369). 257 indexed citations
8.
Doty, David & David Soloveichik. (2016). Stable leader election in population protocols requires linear time. Distributed Computing. 31(4). 257–271. 15 indexed citations
9.
Soloveichik, David & Bernard Yurke. (2014). Preface. Natural Computing. 14(2). 193–194. 1 indexed citations
10.
Soloveichik, David, et al.. (2013). DNA computing and molecular programming : 19th International Conference, DNA 19, Tempe, AZ, USA, September 22-27, 2013, proceedings. Springer eBooks.
11.
Chen, Ho-Lin, David Doty, & David Soloveichik. (2013). Deterministic function computation with chemical reaction networks. Natural Computing. 13(4). 517–534. 53 indexed citations
12.
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
13.
Soloveichik, David & Bernard Yurke. (2013). DNA Computing and Molecular Programming. Lecture notes in computer science. 14 indexed citations
14.
Soloveichik, David. (2009). Robust Stochastic Chemical Reaction Networks and Bounded Tau-Leaping. Journal of Computational Biology. 16(3). 501–522. 7 indexed citations
15.
Soloveichik, David, Matthew Cook, Erik Winfree, & Jehoshua Bruck. (2008). Computation with finite stochastic chemical reaction networks. Natural Computing. 7(4). 615–633. 131 indexed citations
16.
Soloveichik, David, Matthew Cook, & Erik Winfree. (2007). Combining self-healing and proofreading in self-assembly. Natural Computing. 7(2). 203–218. 12 indexed citations
17.
Seelig, Georg, David Soloveichik, David Y. Zhang, & Erik Winfree. (2006). Enzyme-Free Nucleic Acid Logic Circuits. Science. 314(5805). 1585–1588. 1153 indexed citations breakdown →
18.
Soloveichik, David & Erik Winfree. (2005). Complexity of compact proofreading for self-assembled patterns. CaltechAUTHORS (California Institute of Technology). 1 indexed citations
19.
Soloveichik, David & Erik Winfree. (2005). The computational power of Benenson automata. Theoretical Computer Science. 344(2-3). 279–297. 16 indexed citations
20.
Soloveichik, David. (1987). A New Approach to Decision Making in Multiple‐Objective Linear Programming (MOLP) Problems. Annals of the New York Academy of Sciences. 491(1). 245–252. 2 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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