Adam Marblestone

5.9k total citations · 3 hit papers
29 papers, 2.7k citations indexed

About

Adam Marblestone is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Adam Marblestone has authored 29 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cognitive Neuroscience and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Adam Marblestone's work include Neural dynamics and brain function (7 papers), Neuroscience and Neural Engineering (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Adam Marblestone is often cited by papers focused on Neural dynamics and brain function (7 papers), Neuroscience and Neural Engineering (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Adam Marblestone collaborates with scholars based in United States, United Kingdom and Germany. Adam Marblestone's co-authors include George M. Church, Surat Teerapittayanon, Alejandro Vázquez, William M. Shih, Shawn M. Douglas, Konrad P. Körding, Greg Wayne, Evan R Daugharthy, Edward S. Boyden and Shoh Asano and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Adam Marblestone

27 papers receiving 2.7k citations

Hit Papers

Rapid prototyping of 3D DNA-origami shapes with caDNAno 2009 2026 2014 2020 2009 2014 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Marblestone United States 15 1.8k 585 347 302 272 29 2.7k
Benjamin A. Flusberg United States 9 1.4k 0.8× 773 1.3× 597 1.7× 161 0.5× 202 0.7× 11 2.7k
Hang Lu United States 46 1.8k 1.0× 2.3k 3.9× 343 1.0× 167 0.6× 153 0.6× 176 6.3k
Anindita Basu United States 17 4.3k 2.3× 906 1.5× 478 1.4× 105 0.3× 63 0.2× 39 6.2k
Dawen Cai United States 23 1.9k 1.1× 376 0.6× 715 2.1× 146 0.5× 41 0.2× 54 3.8k
Arthur Edelstein United States 5 1.3k 0.7× 438 0.7× 628 1.8× 89 0.3× 88 0.3× 7 2.7k
Michael J. Levene United States 18 780 0.4× 903 1.5× 733 2.1× 188 0.6× 56 0.2× 37 2.4k
Thomas J. Pohida United States 22 1.1k 0.6× 254 0.4× 245 0.7× 135 0.4× 40 0.1× 60 3.0k
Carsen Stringer United States 15 1.4k 0.8× 309 0.5× 1.0k 3.0× 1.4k 4.6× 54 0.2× 22 4.1k
Jérôme Boulanger France 26 1.2k 0.6× 469 0.8× 503 1.4× 110 0.4× 34 0.1× 67 2.8k
Nenad Amodaj Serbia 4 1.3k 0.7× 440 0.8× 558 1.6× 88 0.3× 87 0.3× 5 2.6k

Countries citing papers authored by Adam Marblestone

Since Specialization
Citations

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

Fields of papers citing papers by Adam Marblestone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Marblestone

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Marblestone. A scholar is included among the top collaborators of Adam Marblestone 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 Adam Marblestone. Adam Marblestone 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.
Wordsworth, Robin, Shannon N. Nangle, Peter R. Girguis, et al.. (2025). Applied Astrobiology: An Integrated Approach to the Future of Life in Space. Astrobiology. 25(5). 327–330.
2.
Wang, Hao, Chi Zhang, Bobae An, et al.. (2025). Dense, continuous membrane labeling and expansion microscopy visualization of ultrastructure in tissues. Nature Communications. 16(1). 1579–1579. 3 indexed citations
3.
Marblestone, Adam, et al.. (2022). Unblock research bottlenecks with non-profit start-ups. Nature. 601(7892). 188–190. 9 indexed citations
4.
Banerjee, Abhishek, Rajeev Rikhye, & Adam Marblestone. (2021). Reinforcement-guided learning in frontal neocortex: emerging computational concepts. Current Opinion in Behavioral Sciences. 38. 133–140. 4 indexed citations
5.
Jensen, Martin Borch & Adam Marblestone. (2021). In vivo Pooled Screening: A Scalable Tool to Study the Complexity of Aging and Age-Related Disease. SHILAP Revista de lepidopterología. 2. 714926–714926. 3 indexed citations
6.
Leibo, Joel Z., Julien Pérolat, Edward Hughes, et al.. (2019). Malthusian Reinforcement Learning. arXiv (Cornell University). 1099–1107. 5 indexed citations
7.
Rodriques, Samuel G., Adam Marblestone, & Edward S. Boyden. (2019). A theoretical analysis of single molecule protein sequencing via weak binding spectra. PLoS ONE. 14(3). e0212868–e0212868. 12 indexed citations
8.
Boyden, Edward S. & Adam Marblestone. (2019). Architecting Discovery: A Model for How Engineers Can Help Invent Tools for Neuroscience. Neuron. 102(3). 523–525. 1 indexed citations
9.
Wu, Jing, et al.. (2017). DNA binding strength increases the processivity and activity of a Y-Family DNA polymerase. Scientific Reports. 7(1). 4756–4756. 15 indexed citations
10.
Yoon, Young‐Gyu, et al.. (2017). Feasibility of 3D Reconstruction of Neural Morphology Using Expansion Microscopy and Barcode-Guided Agglomeration. Frontiers in Computational Neuroscience. 11. 97–97. 12 indexed citations
11.
Marblestone, Adam, Greg Wayne, & Konrad P. Körding. (2016). Toward an Integration of Deep Learning and Neuroscience. SHILAP Revista de lepidopterología. 353 indexed citations breakdown →
12.
Chen, Fei, Asmamaw T. Wassie, Allison Coté, et al.. (2016). Nanoscale imaging of RNA with expansion microscopy. Nature Methods. 13(8). 679–684. 268 indexed citations
13.
Marblestone, Adam, Greg Wayne, & Konrad P. Körding. (2016). Toward an Integration of Deep Learning and Neuroscience. Frontiers in Computational Neuroscience. 10. 94–94. 15 indexed citations
14.
Marblestone, Adam & Edward S. Boyden. (2014). Designing Tools for Assumption-Proof Brain Mapping. Neuron. 83(6). 1239–1241. 5 indexed citations
15.
Lee, Je Hyuk, Evan R Daugharthy, Jonathan Scheiman, et al.. (2014). Highly Multiplexed Subcellular RNA Sequencing in Situ. Science. 343(6177). 1360–1363. 693 indexed citations breakdown →
16.
Marblestone, Adam, Mikhail G. Shapiro, Joshua I. Glaser, et al.. (2013). Physical principles for scalable neural recording. Frontiers in Computational Neuroscience. 7. 137–137. 18 indexed citations
17.
Payne, Andrew C., et al.. (2013). Molecular Threading: Mechanical Extraction, Stretching and Placement of DNA Molecules from a Liquid-Air Interface. PLoS ONE. 8(7). e69058–e69058. 5 indexed citations
18.
Glaser, Joshua I., Adam Marblestone, Jeffrey R. Moffitt, et al.. (2013). Statistical Analysis of Molecular Signal Recording. PLoS Computational Biology. 9(7). e1003145–e1003145. 19 indexed citations
19.
Marblestone, Adam, Konrad P. Körding, Daniel Schmidt, et al.. (2012). Measuring Cation Dependent DNA Polymerase Fidelity Landscapes by Deep Sequencing. PLoS ONE. 7(8). e43876–e43876. 39 indexed citations
20.
Douglas, Shawn M., Adam Marblestone, Surat Teerapittayanon, et al.. (2009). Rapid prototyping of 3D DNA-origami shapes with caDNAno. Nucleic Acids Research. 37(15). 5001–5006. 955 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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