Sohum Mehta

3.7k total citations · 2 hit papers
58 papers, 2.5k citations indexed

About

Sohum Mehta is a scholar working on Molecular Biology, Biophysics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sohum Mehta has authored 58 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 24 papers in Biophysics and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sohum Mehta's work include Advanced Fluorescence Microscopy Techniques (24 papers), Receptor Mechanisms and Signaling (21 papers) and Photoreceptor and optogenetics research (7 papers). Sohum Mehta is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (24 papers), Receptor Mechanisms and Signaling (21 papers) and Photoreceptor and optogenetics research (7 papers). Sohum Mehta collaborates with scholars based in United States, Germany and Japan. Sohum Mehta's co-authors include Jin Zhang, Eric C. Greenwald, Brian Tenner, Jason Z. Zhang, Frank J. Turano, Ji‐Man Kang, Wei Lin, Padmini Rangamani, Jinfan Zhang and Susan S. Taylor and has published in prestigious journals such as Nature, Cell and Chemical Reviews.

In The Last Decade

Sohum Mehta

54 papers receiving 2.5k citations

Hit Papers

Genetically Encoded Fluorescent Biosensors Illuminate the... 2018 2026 2020 2023 2018 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sohum Mehta United States 25 1.9k 464 437 245 205 58 2.5k
George T. Hanson United States 14 2.1k 1.1× 831 1.8× 520 1.2× 241 1.0× 132 0.6× 18 2.8k
Lin Guo United States 24 2.5k 1.3× 257 0.6× 380 0.9× 393 1.6× 197 1.0× 71 3.5k
Kenta Saito Japan 12 1.1k 0.6× 254 0.5× 289 0.7× 111 0.5× 203 1.0× 27 1.7k
Yi Shen Canada 25 1.1k 0.6× 349 0.8× 508 1.2× 135 0.6× 374 1.8× 63 2.1k
Alexa L. Mattheyses United States 26 1.4k 0.7× 485 1.0× 221 0.5× 680 2.8× 427 2.1× 62 2.5k
Dmitry S. Bilan Russia 21 1.1k 0.6× 288 0.6× 223 0.5× 84 0.3× 156 0.8× 47 1.6k
Mathew H. Horrocks United Kingdom 27 1.5k 0.8× 376 0.8× 457 1.0× 289 1.2× 227 1.1× 68 3.0k
Christoph Biskup Germany 29 1.2k 0.6× 624 1.3× 410 0.9× 245 1.0× 306 1.5× 62 2.8k
Megan A. Rizzo United States 27 2.0k 1.0× 424 0.9× 328 0.8× 742 3.0× 88 0.4× 52 2.9k
Mathew Tantama United States 12 1.0k 0.5× 214 0.5× 276 0.6× 98 0.4× 165 0.8× 22 1.5k

Countries citing papers authored by Sohum Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Sohum Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sohum Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Sohum Mehta. A scholar is included among the top collaborators of Sohum Mehta 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 Sohum Mehta. Sohum Mehta 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.
Mehta, Sohum, et al.. (2025). Recent advances in spying on cell signaling with fluorescent biosensors. Current Opinion in Cell Biology. 95. 102546–102546.
2.
Lee, Ha Neul, Friedrich W. Herberg, Susan S. Taylor, et al.. (2025). Aberrant phase separation of two PKA RIβ neurological disorder mutants leads to mechanistically distinct signaling deficits. Cell Reports. 44(6). 115797–115797.
3.
Frei, Michelle S., Longwei Liu, Falk Schneider, et al.. (2025). Far-red chemigenetic kinase biosensors enable multiplexed and super-resolved imaging of signaling networks. Nature Biotechnology. 44(3). 444–453. 7 indexed citations
4.
Gest, Anneliese M. M., et al.. (2024). Molecular Spies in Action: Genetically Encoded Fluorescent Biosensors Light up Cellular Signals. Chemical Reviews. 124(22). 12573–12660. 21 indexed citations
5.
Lin, Wei, Longwei Liu, Hyung‐Bae Kwon, et al.. (2024). Light-gated integrator for highlighting kinase activity in living cells. Nature Communications. 15(1). 7804–7804. 3 indexed citations
6.
Mehta, Sohum, et al.. (2023). Fluorescent biosensors illuminate the spatial regulation of cell signaling across scales. Biochemical Journal. 480(20). 1693–1717. 7 indexed citations
7.
Posner, Clara, Sohum Mehta, & Jin Zhang. (2023). Fluorescent biosensor imaging meets deterministic mathematical modelling: quantitative investigation of signalling compartmentalization. The Journal of Physiology. 601(19). 4227–4241. 5 indexed citations
8.
Schmitt, Danielle L., et al.. (2022). Spatial regulation of AMPK signaling revealed by a sensitive kinase activity reporter. Nature Communications. 13(1). 3856–3856. 47 indexed citations
9.
Fujii, Hajime, Sohum Mehta, Keisuke Ota, et al.. (2022). A genetically encoded far‐red fluorescent calcium ion biosensor derived from a biliverdin‐binding protein. Protein Science. 31(10). 15 indexed citations
10.
Lin, Wei, Gary Mo, Sohum Mehta, & Jin Zhang. (2021). DrFLINC Contextualizes Super-resolution Activity Imaging. Journal of the American Chemical Society. 143(37). 14951–14955. 7 indexed citations
11.
Tenner, Brian, Brian Ross, Donya Ohadi, et al.. (2020). Spatially compartmentalized phase regulation of a Ca2+-cAMP-PKA oscillatory circuit. eLife. 9. 42 indexed citations
12.
Zhang, Jinfan, Bian Liu, Ingie Hong, et al.. (2020). An ultrasensitive biosensor for high-resolution kinase activity imaging in awake mice. Nature Chemical Biology. 17(1). 39–46. 71 indexed citations
13.
Lee, Ha Neul, Sohum Mehta, & Jin Zhang. (2020). Recent advances in the use of genetically encodable optical tools to elicit and monitor signaling events. Current Opinion in Cell Biology. 63. 114–124. 13 indexed citations
14.
Schmitt, Danielle L., Sohum Mehta, & Jin Zhang. (2020). Illuminating the kinome: Visualizing real-time kinase activity in biological systems using genetically encoded fluorescent protein-based biosensors. Current Opinion in Chemical Biology. 54. 63–69. 15 indexed citations
15.
Tenner, Brian, Brian Ross, Donya Ohadi, et al.. (2020). Spatially Compartmentalized Phase Regulation in the Ca2+-cAMP-PKA-Oscillatory Circuit. Biophysical Journal. 118(3). 175a–175a. 3 indexed citations
16.
Lin, Wei, Sohum Mehta, & Jin Zhang. (2019). Genetically encoded fluorescent biosensors illuminate kinase signaling in cancer. Journal of Biological Chemistry. 294(40). 14814–14822. 39 indexed citations
17.
Qian, Yong, Kiryl D. Piatkevich, Benedict Mc Larney, et al.. (2019). A genetically encoded near-infrared fluorescent calcium ion indicator. Nature Methods. 16(2). 171–174. 162 indexed citations
18.
Mehta, Sohum, Yong Zhang, Richard H. Roth, et al.. (2018). Single-fluorophore biosensors for sensitive and multiplexed detection of signalling activities. Nature Cell Biology. 20(10). 1215–1225. 126 indexed citations
19.
Mehta, Sohum, et al.. (2015). Visualization of Compartmentalized Kinase Activity Dynamics Using Adaptable BimKARs. Chemistry & Biology. 22(11). 1470–1479. 23 indexed citations
20.
Kang, Ji‐Man, Sohum Mehta, & Frank J. Turano. (2004). The putative glutamate receptor 1.1 (AtGLR1.1) in Arabidopsis thaliana Regulates Abscisic Acid Biosynthesis and Signaling to Control Development and Water Loss. Plant and Cell Physiology. 45(10). 1380–1389. 93 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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