Suvrajit Saha

891 total citations
11 papers, 650 citations indexed

About

Suvrajit Saha is a scholar working on Molecular Biology, Biophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Suvrajit Saha has authored 11 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Biophysics and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Suvrajit Saha's work include Lipid Membrane Structure and Behavior (7 papers), Advanced Fluorescence Microscopy Techniques (6 papers) and Force Microscopy Techniques and Applications (4 papers). Suvrajit Saha is often cited by papers focused on Lipid Membrane Structure and Behavior (7 papers), Advanced Fluorescence Microscopy Techniques (6 papers) and Force Microscopy Techniques and Applications (4 papers). Suvrajit Saha collaborates with scholars based in India, United States and Spain. Suvrajit Saha's co-authors include Satyajit Mayor, Madan Rao, Subhasri Ghosh, Kripa Gowrishankar, Anupama Ambika Anilkumar, Orion D. Weiner, Anirban Polley, Jay T. Groves, Il‐Hyung Lee and Debanjan Goswami and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Physical Chemistry B.

In The Last Decade

Suvrajit Saha

11 papers receiving 646 citations

Peers

Suvrajit Saha
Harvey F. Chin United States
Thomas A. Masters United Kingdom
Shiqiong Hu United States
Suvrajit Saha
Citations per year, relative to Suvrajit Saha Suvrajit Saha (= 1×) peers Subhasri Ghosh

Countries citing papers authored by Suvrajit Saha

Since Specialization
Citations

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

Fields of papers citing papers by Suvrajit Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suvrajit Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Suvrajit Saha. A scholar is included among the top collaborators of Suvrajit Saha 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 Suvrajit Saha. Suvrajit Saha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Saha, Suvrajit, Jason P. Town, & Orion D. Weiner. (2023). Mechanosensitive mTORC2 independently coordinates leading and trailing edge polarity programs during neutrophil migration. Molecular Biology of the Cell. 34(5). ar35–ar35. 15 indexed citations
2.
Saha, Suvrajit, et al.. (2022). Active emulsions in living cell membranes driven by contractile stresses and transbilayer coupling. Proceedings of the National Academy of Sciences. 119(30). e2123056119–e2123056119. 19 indexed citations
3.
Saha, Suvrajit, et al.. (2018). Joining forces: crosstalk between biochemical signalling and physical forces orchestrates cellular polarity and dynamics. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1747). 20170145–20170145. 44 indexed citations
4.
Saha, Suvrajit, Anupama Ambika Anilkumar, & Satyajit Mayor. (2015). GPI-anchored protein organization and dynamics at the cell surface. Journal of Lipid Research. 57(2). 159–175. 91 indexed citations
5.
Lee, Il‐Hyung, Suvrajit Saha, Anirban Polley, et al.. (2015). Live Cell Plasma Membranes Do Not Exhibit a Miscibility Phase Transition over a Wide Range of Temperatures. The Journal of Physical Chemistry B. 119(12). 4450–4459. 37 indexed citations
6.
Saha, Suvrajit, Il‐Hyung Lee, Anirban Polley, et al.. (2015). Diffusion of GPI-anchored proteins is influenced by the activity of dynamic cortical actin. Molecular Biology of the Cell. 26(22). 4033–4045. 58 indexed citations
7.
Saha, Suvrajit, Riya Raghupathy, & Satyajit Mayor. (2014). Homo-FRET Imaging Highlights the Nanoscale Organization of Cell Surface Molecules. Methods in molecular biology. 1251. 151–173. 12 indexed citations
8.
Manzo, Carlo, Thomas S. van Zanten, Suvrajit Saha, et al.. (2014). PSF decomposition of nanoscopy images via Bayesian analysis unravels distinct molecular organization of the cell membrane. Scientific Reports. 4(1). 4354–4354. 13 indexed citations
9.
Saha, Ranajay, Pramod Kumar Verma, Surajit Rakshit, et al.. (2013). Light driven ultrafast electron transfer in oxidative redding of Green Fluorescent Proteins. Scientific Reports. 3(1). 1580–1580. 28 indexed citations
10.
Ghosh, Subhasri, et al.. (2012). Dynamic Imaging of Homo-FRET in Live Cells by Fluorescence Anisotropy Microscopy. Methods in enzymology on CD-ROM/Methods in enzymology. 505. 291–327. 38 indexed citations
11.
Gowrishankar, Kripa, et al.. (2012). Active Remodeling of Cortical Actin Regulates Spatiotemporal Organization of Cell Surface Molecules. Cell. 149(6). 1353–1367. 295 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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