Eitan Lerner

2.1k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Eitan Lerner is a scholar working on Molecular Biology, Biophysics and Electrical and Electronic Engineering. According to data from OpenAlex, Eitan Lerner has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 20 papers in Biophysics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Eitan Lerner's work include Advanced Fluorescence Microscopy Techniques (19 papers), Advanced Biosensing Techniques and Applications (6 papers) and Protein Structure and Dynamics (5 papers). Eitan Lerner is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (19 papers), Advanced Biosensing Techniques and Applications (6 papers) and Protein Structure and Dynamics (5 papers). Eitan Lerner collaborates with scholars based in Israel, United States and Germany. Eitan Lerner's co-authors include Shimon Weiss, Sangyoon Chung, Antonino Ingargiola, Thorben Cordes, Xavier Michalet, Yazan Alhadid, Evelyn Ploetz, Johannes Hohlbein, Alan R. Fersht and Fang Huang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Eitan Lerner

35 papers receiving 1.1k citations

Hit Papers

Toward dynamic structural biology: Two decades of single-... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eitan Lerner Israel 15 758 342 167 110 106 37 1.1k
Elke Haustein Germany 11 806 1.1× 555 1.6× 143 0.9× 186 1.7× 95 0.9× 11 1.2k
Hugo Sanabria United States 19 613 0.8× 212 0.6× 230 1.4× 99 0.9× 113 1.1× 52 1.0k
Burak Okumuş United States 17 1.4k 1.9× 347 1.0× 98 0.6× 225 2.0× 105 1.0× 30 1.8k
Bengt Wunderlich Switzerland 10 590 0.8× 158 0.5× 184 1.1× 124 1.1× 39 0.4× 12 802
Mickaël Lelimousin France 15 1.0k 1.3× 559 1.6× 242 1.4× 216 2.0× 53 0.5× 18 1.4k
Sang-Hwa Lee South Korea 16 789 1.0× 159 0.5× 190 1.1× 134 1.2× 66 0.6× 63 1.2k
Harold D. Kim United States 17 1.8k 2.4× 294 0.9× 119 0.7× 176 1.6× 123 1.2× 37 2.1k
Stefanie Y. Nishimura United States 12 505 0.7× 226 0.7× 144 0.9× 120 1.1× 42 0.4× 13 812
Edward S. Allgeyer United States 14 681 0.9× 528 1.5× 85 0.5× 262 2.4× 42 0.4× 29 1.4k
Qiaoqiao Ruan United States 13 676 0.9× 518 1.5× 74 0.4× 221 2.0× 37 0.3× 37 1.1k

Countries citing papers authored by Eitan Lerner

Since Specialization
Citations

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

Fields of papers citing papers by Eitan Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eitan Lerner

This figure shows the co-authorship network connecting the top 25 collaborators of Eitan Lerner. A scholar is included among the top collaborators of Eitan Lerner 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 Eitan Lerner. Eitan Lerner 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.
Madrer, Nimrod, Tamara Zorbaz, Estelle R. Bennett, et al.. (2025). Pre-symptomatic Parkinson’s disease blood test quantifying repetitive sequence motifs in transfer RNA fragments. Nature Aging. 5(5). 868–882. 5 indexed citations
2.
Razvag, Yair, et al.. (2025). BPS2025 - FRETsael—nanometer localization of biomolecular interactions using fluorescence lifetime imaging. Biophysical Journal. 124(3). 327a–328a.
3.
Razvag, Yair, et al.. (2025). FRETsael: Nanometer localization of biomolecular interactions using fluorescence lifetime imaging. Biophysical Journal. 124(20). 3380–3395. 1 indexed citations
4.
Kalisman, Nir, et al.. (2024). Evidence for a compact σ70 conformation in vitro and in vivo. iScience. 27(6). 110140–110140. 3 indexed citations
6.
Harris, Paul David, et al.. (2024). Single-molecule detection and super-resolution imaging with a portable and adaptable 3D-printed microscopy platform (Brick-MIC). Science Advances. 10(39). eado3427–eado3427. 7 indexed citations
7.
Ploetz, Evelyn, Benjamin Ambrose, Anders Barth, et al.. (2023). A new twist on PIFE: photoisomerisation-related fluorescence enhancement. Methods and Applications in Fluorescence. 12(1). 12001–12001. 15 indexed citations
8.
Rauscher, Sarah, et al.. (2023). Fluorescent protein lifetimes report densities and phases of nuclear condensates during embryonic stem-cell differentiation. Nature Communications. 14(1). 4885–4885. 12 indexed citations
9.
Harris, Paul David, et al.. (2022). Multi-parameter photon-by-photon hidden Markov modeling. Nature Communications. 13(1). 1000–1000. 24 indexed citations
11.
Ingargiola, Antonino, Eitan Lerner, Sangyoon Chung, et al.. (2019). High-throughput smFRET analysis of freely diffusing nucleic acid molecules and associated proteins. Methods. 169. 21–45. 4 indexed citations
12.
Chung, Sangyoon, Eitan Lerner, Yan Jin, et al.. (2018). The effect of macromolecular crowding on single-round transcription by Escherichia coli RNA polymerase. Nucleic Acids Research. 47(3). 1440–1450. 34 indexed citations
13.
Lerner, Eitan, Thorben Cordes, Antonino Ingargiola, et al.. (2018). Toward dynamic structural biology: Two decades of single-molecule Förster resonance energy transfer. Science. 359(6373). 406 indexed citations breakdown →
14.
Ingargiola, Antonino, Eitan Lerner, Sangyoon Chung, et al.. (2017). Multispot single-molecule FRET: High-throughput analysis of freely diffusing molecules. PLoS ONE. 12(4). e0175766–e0175766. 20 indexed citations
15.
Lerner, Eitan, Sangyoon Chung, Benjamin L. Allen, et al.. (2016). Backtracked and paused transcription initiation intermediate of Escherichia coli RNA polymerase. Proceedings of the National Academy of Sciences. 113(43). E6562–E6571. 59 indexed citations
16.
Ingargiola, Antonino, Eitan Lerner, Sangyoon Chung, et al.. (2016). A Multispot Confocal Platform for High-Throughput Freely Diffusing Single-Molecule FRET Studies. Biophysical Journal. 110(3). 194a–195a. 1 indexed citations
17.
Ingargiola, Antonino, Eitan Lerner, Sangyoon Chung, Shimon Weiss, & Xavier Michalet. (2016). FRETBursts: An Open Source Toolkit for Analysis of Freely-Diffusing Single-Molecule FRET. PLoS ONE. 11(8). e0160716–e0160716. 61 indexed citations
18.
Ploetz, Evelyn, Eitan Lerner, Florence Husada, et al.. (2016). Förster resonance energy transfer and protein-induced fluorescence enhancement as synergetic multi-scale molecular rulers. Scientific Reports. 6(1). 33257–33257. 69 indexed citations
20.
Lerner, Eitan, et al.. (2013). Preparation of homogeneous samples of double-labelled protein suitable for single-molecule FRET measurements. Analytical and Bioanalytical Chemistry. 405(18). 5983–5991. 11 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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