Eilon Sherman

2.0k total citations
42 papers, 1.5k citations indexed

About

Eilon Sherman is a scholar working on Molecular Biology, Biophysics and Immunology. According to data from OpenAlex, Eilon Sherman has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Biophysics and 12 papers in Immunology. Recurrent topics in Eilon Sherman's work include Advanced Fluorescence Microscopy Techniques (16 papers), T-cell and B-cell Immunology (10 papers) and Cellular Mechanics and Interactions (7 papers). Eilon Sherman is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (16 papers), T-cell and B-cell Immunology (10 papers) and Cellular Mechanics and Interactions (7 papers). Eilon Sherman collaborates with scholars based in Israel, United States and Netherlands. Eilon Sherman's co-authors include Gilad Haran, Lawrence E. Samelson, Valarie A. Barr, Lakshmi Balagopalan, Connie L. Sommers, Yair Neve-Oz, Yair Razvag, Gideon Schreiber, Yael Phillip and Nathan P. Coussens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and ACS Nano.

In The Last Decade

Eilon Sherman

40 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eilon Sherman Israel 19 875 396 304 247 179 42 1.5k
Marek Cebecauer Czechia 22 1.2k 1.4× 669 1.7× 133 0.4× 122 0.5× 204 1.1× 51 2.0k
Martin B. Forstner United States 17 815 0.9× 333 0.8× 245 0.8× 76 0.3× 187 1.0× 24 1.5k
Leonhard Möckl Germany 17 730 0.8× 131 0.3× 284 0.9× 150 0.6× 179 1.0× 44 1.4k
Mario Brameshuber Austria 20 917 1.0× 693 1.8× 261 0.9× 68 0.3× 213 1.2× 42 1.9k
Hernán E. Grecco Argentina 17 1.4k 1.6× 110 0.3× 292 1.0× 500 2.0× 311 1.7× 50 2.1k
Xiaolin Nan United States 26 1.1k 1.3× 145 0.4× 796 2.6× 291 1.2× 278 1.6× 52 2.3k
Kristina A. Ganzinger Netherlands 19 797 0.9× 224 0.6× 129 0.4× 59 0.2× 201 1.1× 30 1.4k
Patrice Dosset France 15 1.0k 1.2× 100 0.3× 100 0.3× 198 0.8× 153 0.9× 27 1.4k
Oliver Beutel Germany 17 757 0.9× 114 0.3× 263 0.9× 115 0.5× 215 1.2× 23 1.2k
Marisa L. Martin-Fernandez United Kingdom 28 1.4k 1.6× 102 0.3× 449 1.5× 113 0.5× 247 1.4× 78 2.3k

Countries citing papers authored by Eilon Sherman

Since Specialization
Citations

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

Fields of papers citing papers by Eilon Sherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eilon Sherman

This figure shows the co-authorship network connecting the top 25 collaborators of Eilon Sherman. A scholar is included among the top collaborators of Eilon Sherman 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 Eilon Sherman. Eilon Sherman 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.
Neve-Oz, Yair, Eilon Sherman, & Barak Raveh. (2024). Bayesian metamodeling of early T-cell antigen receptor signaling accounts for its nanoscale activation patterns. Frontiers in Immunology. 15. 1412221–1412221. 2 indexed citations
2.
Horn, Galit, et al.. (2023). Nanoscale CAR Organization at the Immune Synapse Correlates with CAR-T Effector Functions. Cells. 12(18). 2261–2261. 4 indexed citations
3.
Sherman, Eilon, et al.. (2023). Cell Surface Vibrations Distinguish Malignant from Benign Cells. Cells. 12(14). 1901–1901. 1 indexed citations
4.
Razvag, Yair, et al.. (2021). Adhering interacting cells to two opposing coverslips allows super-resolution imaging of cell-cell interfaces. Communications Biology. 4(1). 439–439. 2 indexed citations
5.
Sherman, Eilon, et al.. (2021). Spectral Analysis of ATP-Dependent Mechanical Vibrations in T Cells. Frontiers in Cell and Developmental Biology. 9. 590655–590655. 4 indexed citations
6.
Arafeh, Rand, et al.. (2020). MEK Inhibition Reverses Aberrant Signaling in Melanoma Cells through Reorganization of NRas and BRAF in Self Nanoclusters. Cancer Research. 81(5). 1279–1292. 2 indexed citations
7.
Trus, Michael, et al.. (2020). Elevated basal transcription can underlie timothy channel association with autism related disorders. Progress in Neurobiology. 191. 101820–101820. 15 indexed citations
8.
Razvag, Yair, et al.. (2019). T Cell Activation through Isolated Tight Contacts. Cell Reports. 29(11). 3506–3521.e6. 28 indexed citations
9.
Razvag, Yair, et al.. (2018). Nanoscale kinetic segregation of TCR and CD45 in engaged microvilli facilitates early T cell activation. Nature Communications. 9(1). 732–732. 72 indexed citations
10.
Schwarzer, Roland, et al.. (2018). Gp41 dynamically interacts with the TCR in the immune synapse and promotes early T cell activation. Scientific Reports. 8(1). 9747–9747. 5 indexed citations
11.
Sherman, Eilon, et al.. (2017). Resolving mixed mechanisms of protein subdiffusion at the T cell plasma membrane. Nature Communications. 8(1). 15851–15851. 58 indexed citations
12.
Trus, Michael, et al.. (2017). The L-type Voltage-Gated Calcium Channel co-localizes with Syntaxin 1A in nano-clusters at the plasma membrane. Scientific Reports. 7(1). 11350–11350. 17 indexed citations
13.
Sherman, Eilon, et al.. (2013). Automatic sorting of point pattern sets using Minkowski functionals. Physical Review E. 88(2). 1 indexed citations
14.
Sherman, Eilon, Valarie A. Barr, & Lawrence E. Samelson. (2012). Resolving multi-molecular protein interactions by photoactivated localization microscopy. Methods. 59(3). 261–269. 19 indexed citations
15.
Sherman, Eilon & Gilad Haran. (2011). Fluorescence Correlation Spectroscopy of Fast Chain Dynamics within Denatured Protein L. ChemPhysChem. 12(3). 696–703. 20 indexed citations
16.
Balagopalan, Lakshmi, Eilon Sherman, Valarie A. Barr, & Lawrence E. Samelson. (2010). Imaging techniques for assaying lymphocyte activation in action. Nature reviews. Immunology. 11(1). 21–33. 75 indexed citations
17.
Balagopalan, Lakshmi, Nathan P. Coussens, Eilon Sherman, Lawrence E. Samelson, & Connie L. Sommers. (2010). The LAT Story: A Tale of Cooperativity, Coordination, and Choreography. Cold Spring Harbor Perspectives in Biology. 2(8). a005512–a005512. 133 indexed citations
18.
Phillip, Yael, Eilon Sherman, Gilad Haran, & Gideon Schreiber. (2009). Common Crowding Agents Have Only a Small Effect on Protein-Protein Interactions. Biophysical Journal. 97(3). 875–885. 115 indexed citations
19.
Paz, Aviv, Tzviya Zeev‐Ben‐Mordehai, Martin Lundqvist, et al.. (2008). Biophysical Characterization of the Unstructured Cytoplasmic Domain of the Human Neuronal Adhesion Protein Neuroligin 3. Biophysical Journal. 95(4). 1928–1944. 35 indexed citations
20.
Cortajarena, Aitziber L., Gregg Lois, Eilon Sherman, et al.. (2008). Non-random-coil Behavior as a Consequence of Extensive PPII Structure in the Denatured State. Journal of Molecular Biology. 382(1). 203–212. 31 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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