Michael Eisenstein

7.1k total citations
310 papers, 5.0k citations indexed

About

Michael Eisenstein is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Michael Eisenstein has authored 310 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Molecular Biology, 54 papers in Biomedical Engineering and 30 papers in Genetics. Recurrent topics in Michael Eisenstein's work include Advanced biosensing and bioanalysis techniques (55 papers), CRISPR and Genetic Engineering (25 papers) and RNA Interference and Gene Delivery (21 papers). Michael Eisenstein is often cited by papers focused on Advanced biosensing and bioanalysis techniques (55 papers), CRISPR and Genetic Engineering (25 papers) and RNA Interference and Gene Delivery (21 papers). Michael Eisenstein collaborates with scholars based in United States, China and South Korea. Michael Eisenstein's co-authors include H. Tom Soh, Kuangwen Hsieh, Andrew T. Csordas, B. Scott Ferguson, Seung Soo Oh, Kevin W. Plaxco, Amani A. Hariri, Jinpeng Wang, Ian A. P. Thompson and Peter L. Mage and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Michael Eisenstein

299 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Eisenstein United States 38 3.2k 1.5k 506 286 285 310 5.0k
Xing Wang China 32 2.4k 0.8× 1.2k 0.8× 364 0.7× 132 0.5× 351 1.2× 217 4.4k
David C. Muddiman United States 58 6.4k 2.0× 1.4k 0.9× 308 0.6× 188 0.7× 816 2.9× 375 12.4k
Min Li China 39 2.9k 0.9× 861 0.6× 158 0.3× 232 0.8× 353 1.2× 176 4.8k
Shanshan Li China 38 2.3k 0.7× 521 0.3× 469 0.9× 168 0.6× 510 1.8× 209 5.3k
Philip J. Day United Kingdom 45 2.8k 0.9× 1.0k 0.7× 174 0.3× 356 1.2× 184 0.6× 156 6.5k
Eun Hye Lee South Korea 42 2.2k 0.7× 1.0k 0.7× 650 1.3× 197 0.7× 757 2.7× 421 7.3k
Dong‐Eun Kim South Korea 51 4.5k 1.4× 1.4k 0.9× 520 1.0× 351 1.2× 842 3.0× 410 8.4k
David A. Stenger United States 40 1.7k 0.5× 1.9k 1.2× 854 1.7× 193 0.7× 260 0.9× 163 5.7k
Furong Liu China 33 4.1k 1.3× 726 0.5× 506 1.0× 202 0.7× 335 1.2× 204 6.2k

Countries citing papers authored by Michael Eisenstein

Since Specialization
Citations

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

Fields of papers citing papers by Michael Eisenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Eisenstein

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Eisenstein. A scholar is included among the top collaborators of Michael Eisenstein 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 Michael Eisenstein. Michael Eisenstein 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.
Trinh, Tuan, Robert B. Lee, Michael Eisenstein, et al.. (2025). A Generalizable Fluorescence Sensor Platform for Sample Preparation‐Free Protein Detection. Advanced Materials. 37(44). e19662–e19662.
2.
Chen, Yihang, Kaiyu Fu, Robin T. Cotton, et al.. (2025). A biochemical sensor with continuous extended stability in vivo. Nature Biomedical Engineering. 9(9). 1517–1530. 16 indexed citations
3.
Park, Chan Ho, Ian A. P. Thompson, Sharon Newman, et al.. (2024). Real‐Time Spatiotemporal Measurement of Extracellular Signaling Molecules Using an Aptamer Switch‐Conjugated Hydrogel Matrix (Adv. Mater. 4/2024). Advanced Materials. 36(4). 1 indexed citations
4.
Kong, Dehui, Ian A. P. Thompson, Nicolò Maganzini, Michael Eisenstein, & H. Tom Soh. (2024). Aptamer–Antibody Chimera Sensors for Sensitive, Rapid, and Reversible Molecular Detection in Complex Samples. ACS Sensors. 9(3). 1168–1177. 13 indexed citations
5.
Eisenstein, Michael. (2023). AI-enhanced protein design makes proteins that have never existed. Nature Biotechnology. 41(3). 303–305. 21 indexed citations
6.
Thompson, Ian A. P., Liwei Zheng, Amani A. Hariri, et al.. (2023). An antibody-based molecular switch for continuous small-molecule biosensing. Science Advances. 9(38). eadh4978–eadh4978. 34 indexed citations
7.
Eisenstein, Michael, et al.. (2023). High-Throughput Strategy for Enhancing Aptamer Performance across Different Environmental Conditions. ACS Sensors. 8(7). 2519–2524. 6 indexed citations
8.
Eisenstein, Michael. (2023). From tea to tofu: why Chinese dietary staples are rich pickings for research. Nature. 618(7965). S15–S17. 2 indexed citations
9.
Qu, Hao, Lu Wang, Yu Mao, et al.. (2023). Allosteric Regulation of Aptamer Affinity through Mechano‐Chemical Coupling**. Angewandte Chemie International Edition. 62(10). e202214045–e202214045. 15 indexed citations
10.
Fu, Kaiyu, et al.. (2022). Real-time monitoring of drug pharmacokinetics within tumor tissue in live animals. Science Advances. 8(1). eabk2901–eabk2901. 62 indexed citations
11.
Shin, John H., et al.. (2022). Directed Evolution of Aptamer Discovery Technologies. Accounts of Chemical Research. 55(5). 685–695. 62 indexed citations
12.
Trinh, Tuan, Ian A. P. Thompson, Jacob M. Remington, et al.. (2022). A Photoresponsive Intramolecular Triplex Motif That Enables Rapid and Reversible Control of Aptamer Binding Activity. ACS Nano. 16(9). 14549–14557. 22 indexed citations
13.
Thompson, Ian A. P., Liwei Zheng, Michael Eisenstein, & H. Tom Soh. (2020). Rational design of aptamer switches with programmable pH response. Nature Communications. 11(1). 2946–2946. 63 indexed citations
14.
Poudineh, Mahla, Caitlin L. Maikawa, Yue Ma, et al.. (2020). A fluorescence sandwich immunoassay for the real-time continuous detection of glucose and insulin in live animals. Nature Biomedical Engineering. 5(1). 53–63. 79 indexed citations
15.
Qu, Hao, Lu Wang, Yu Mao, et al.. (2020). Measuring Aptamer Folding Energy Using a Molecular Clamp. Journal of the American Chemical Society. 142(27). 11743–11749. 13 indexed citations
16.
Wilson, Brandon D., Amani A. Hariri, Ian A. P. Thompson, Michael Eisenstein, & H. Tom Soh. (2019). Independent control of the thermodynamic and kinetic properties of aptamer switches. Nature Communications. 10(1). 5079–5079. 64 indexed citations
17.
Pusuluri, Anusha, Trevor Feagin, Andrew T. Csordas, et al.. (2019). Click-Particle Display for Base-Modified Aptamer Discovery. ACS Chemical Biology. 14(12). 2652–2662. 44 indexed citations
18.
Gotrik, Michael R., et al.. (2018). Direct Selection of Fluorescence-Enhancing RNA Aptamers. Journal of the American Chemical Society. 140(10). 3583–3591. 41 indexed citations
19.
Wang, Jinpeng, Jingwen Yu, Qin Yang, et al.. (2016). Multiparameter Particle Display (MPPD): A Quantitative Screening Method for the Discovery of Highly Specific Aptamers. Angewandte Chemie. 129(3). 762–765. 9 indexed citations
20.
Wang, Jinpeng, Jingwen Yu, Qin Yang, et al.. (2016). Multiparameter Particle Display (MPPD): A Quantitative Screening Method for the Discovery of Highly Specific Aptamers. Angewandte Chemie International Edition. 56(3). 744–747. 73 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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