Suvranta K. Tripathy

830 total citations
25 papers, 600 citations indexed

About

Suvranta K. Tripathy is a scholar working on Cell Biology, Atomic and Molecular Physics, and Optics and Molecular Biology. According to data from OpenAlex, Suvranta K. Tripathy has authored 25 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cell Biology, 11 papers in Atomic and Molecular Physics, and Optics and 8 papers in Molecular Biology. Recurrent topics in Suvranta K. Tripathy's work include Microtubule and mitosis dynamics (12 papers), Cellular transport and secretion (5 papers) and Semiconductor Quantum Structures and Devices (5 papers). Suvranta K. Tripathy is often cited by papers focused on Microtubule and mitosis dynamics (12 papers), Cellular transport and secretion (5 papers) and Semiconductor Quantum Structures and Devices (5 papers). Suvranta K. Tripathy collaborates with scholars based in United States, India and Russia. Suvranta K. Tripathy's co-authors include Steven P. Gross, Preetha Anand, Ekaterina L. Grishchuk, Carsten Janke, Anatoly V. Zaytsev, Maria M. Magiera, Hélder Maiato, Ana L. Pereira, Marin Barišić and Yonggun Jun and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Suvranta K. Tripathy

22 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suvranta K. Tripathy United States 9 391 328 111 85 58 25 600
Johan O. L. Andreasson United States 14 444 1.1× 575 1.8× 124 1.1× 98 1.2× 93 1.6× 19 942
Avin Ramaiya India 5 405 1.0× 279 0.9× 83 0.7× 114 1.3× 58 1.0× 5 570
Junichiro Yajima Japan 15 503 1.3× 395 1.2× 70 0.6× 85 1.0× 65 1.1× 32 713
Jonathan W. Driver United States 11 377 1.0× 239 0.7× 62 0.6× 102 1.2× 51 0.9× 14 569
M. Yusuf Ali United States 16 663 1.7× 729 2.2× 170 1.5× 101 1.2× 48 0.8× 34 1.2k
Itsushi Minoura Japan 11 302 0.8× 286 0.9× 31 0.3× 97 1.1× 65 1.1× 18 497
Mohammed Mahamdeh United States 11 260 0.7× 265 0.8× 104 0.9× 33 0.4× 90 1.6× 23 494
Keiko Hirose Japan 20 937 2.4× 855 2.6× 134 1.2× 75 0.9× 33 0.6× 49 1.3k
Zeynep Ökten Germany 13 346 0.9× 382 1.2× 88 0.8× 54 0.6× 72 1.2× 22 697
Joshua Alper United States 14 259 0.7× 330 1.0× 40 0.4× 28 0.3× 109 1.9× 23 626

Countries citing papers authored by Suvranta K. Tripathy

Since Specialization
Citations

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

Fields of papers citing papers by Suvranta K. Tripathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suvranta K. Tripathy. 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 Suvranta K. Tripathy. The network helps show where Suvranta K. Tripathy may publish in the future.

Co-authorship network of co-authors of Suvranta K. Tripathy

This figure shows the co-authorship network connecting the top 25 collaborators of Suvranta K. Tripathy. A scholar is included among the top collaborators of Suvranta K. Tripathy 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 Suvranta K. Tripathy. Suvranta K. Tripathy 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.
Potbhare, Ajay K., Suvranta K. Tripathy, Aniruddha Mondal, et al.. (2025). A sustainable and economical approach for effective adsorption of antibiotics and heavy metal ions using Neolamarckia cadamba -mediated MgO–rGO nanocomposites. Nanoscale. 17(41). 24072–24087.
2.
Tripathy, Suvranta K., et al.. (2025). Ndc80 complex, a conserved coupler for kinetochore-microtubule motility, is a sliding molecular clutch. Science Advances. 11(36). eadx0005–eadx0005.
3.
Bazzi, Hassan S., et al.. (2024). Dissecting the pH Sensitivity of Kinesin-Driven Transport. The Journal of Physical Chemistry B. 128(48). 11855–11864.
4.
Tripathy, Suvranta K., et al.. (2024). Acidic pH of early endosomes governs SARS-CoV-2 transport in host cells. Journal of Biological Chemistry. 301(2). 108144–108144. 2 indexed citations
5.
Tripathy, Suvranta K., et al.. (2023). Acidification of the phagosome orchestrates the motor forces directing its transport. Biochemical and Biophysical Research Communications. 689. 149236–149236. 3 indexed citations
6.
Tripathy, Suvranta K., et al.. (2022). Ultrafast Force-Clamp Spectroscopy of Microtubule-Binding Proteins. Methods in molecular biology. 2478. 609–650. 4 indexed citations
7.
Tripathy, Suvranta K., et al.. (2022). The sodium proton exchanger NHE9 regulates phagosome maturation and bactericidal activity in macrophages. Journal of Biological Chemistry. 298(8). 102150–102150. 6 indexed citations
8.
Tripathy, Suvranta K., et al.. (2018). Ultrafast Force-Clamp Spectroscopy Reveals “Sliding” Catch-Bond Behavior of the Microtubule-Binding NdC80 Protein. Biophysical Journal. 114(3). 382a–382a. 2 indexed citations
9.
Reddy, Babu J.N., Suvranta K. Tripathy, Michael Vershinin, et al.. (2017). Heterogeneity in kinesin function. Traffic. 18(10). 658–671. 13 indexed citations
10.
Barišić, Marin, Suvranta K. Tripathy, Maria M. Magiera, et al.. (2015). Microtubule detyrosination guides chromosomes during mitosis. Science. 348(6236). 799–803. 196 indexed citations
11.
Jun, Yonggun, et al.. (2014). Calibration of Optical Tweezers for In Vivo Force Measurements: How do Different Approaches Compare?. Biophysical Journal. 107(6). 1474–1484. 90 indexed citations
12.
Tripathy, Suvranta K., et al.. (2014). Autoregulatory mechanism for dynactin control of processive and diffusive dynein transport. Nature Cell Biology. 16(12). 1192–1201. 49 indexed citations
13.
Tripathy, Suvranta K., et al.. (2013). A pulse forming network (PFN) for compact plasma system (CPS) at Ravenshaw University, India. AIP conference proceedings. 3 indexed citations
14.
Xu, Jing, Preetha Anand, Silvia Cermelli, et al.. (2012). Casein Kinase 2 Reverses Tail-Independent Inactivation of Kinesin-1. Biophysical Journal. 102(3). 368a–368a. 3 indexed citations
15.
Tripathy, Suvranta K., et al.. (2012). Isolation and Purification of Kinesin from <em>Drosophila</em> Embryos. Journal of Visualized Experiments. 5 indexed citations
16.
Xu, Jing, Babu J.N. Reddy, Preetha Anand, et al.. (2012). Casein kinase 2 reverses tail-independent inactivation of kinesin-1. Nature Communications. 3(1). 754–754. 28 indexed citations
17.
Xu, Guowen, et al.. (2009). Investigation of hot electrons and hot phonons generated within an AlN/GaN high electron mobility transistor. Laser Physics. 19(4). 745–751. 4 indexed citations
18.
Tripathy, Suvranta K., Guibao Xu, Xiaodong Mu, et al.. (2008). Evidence of hot electrons generated from an AlN∕GaN high electron mobility transistor. Applied Physics Letters. 92(1). 16 indexed citations
19.
Wagner, Hans-Peter, Suvranta K. Tripathy, H.-P. Tranitz, & W. Langbein. (2005). Phase Coherent Photorefractivity in ZnSe Single Quantum Wells. Physical Review Letters. 94(14). 147402–147402. 5 indexed citations
20.
Wägner, Hans & Suvranta K. Tripathy. (2004). Dephasing of coherences betweenσ+andσ−exciton states in a ZnSe single quantum well. Physical Review B. 69(12). 3 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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