Souvik Modi

1.7k total citations · 1 hit paper
20 papers, 1.4k citations indexed

About

Souvik Modi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Souvik Modi has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Souvik Modi's work include Advanced biosensing and bioanalysis techniques (8 papers), Mitochondrial Function and Pathology (3 papers) and RNA Interference and Gene Delivery (3 papers). Souvik Modi is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), Mitochondrial Function and Pathology (3 papers) and RNA Interference and Gene Delivery (3 papers). Souvik Modi collaborates with scholars based in India, United Kingdom and United States. Souvik Modi's co-authors include Yamuna Krishnan, Satyajit Mayor, Gagan D. Gupta, Debanjan Goswami, Clément Nizak, Sunaina Surana, Josef T. Kittler, Davor Ivankovic, Rosalind Norkett and Jemima J. Burden and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Souvik Modi

18 papers receiving 1.4k citations

Hit Papers

A DNA nanomachine that maps spatial and temporal pH chang... 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Souvik Modi India 13 1.2k 269 97 97 88 20 1.4k
Sunaina Surana United Kingdom 12 959 0.8× 235 0.9× 75 0.8× 55 0.6× 141 1.6× 17 1.2k
Anand Saminathan United States 11 531 0.4× 167 0.6× 129 1.3× 59 0.6× 77 0.9× 13 836
Weiting Zhang China 19 987 0.8× 363 1.3× 78 0.8× 49 0.5× 148 1.7× 66 2.1k
Rohan T. Ranasinghe United Kingdom 18 957 0.8× 359 1.3× 129 1.3× 135 1.4× 48 0.5× 24 1.4k
Mikhail E. Matlashov United States 14 623 0.5× 173 0.6× 90 0.9× 52 0.5× 177 2.0× 18 1.0k
Ji‐Eun Lee South Korea 18 603 0.5× 124 0.5× 177 1.8× 102 1.1× 56 0.6× 40 1.2k
Francesco Vanzi Italy 22 676 0.6× 360 1.3× 81 0.8× 63 0.6× 130 1.5× 49 1.4k
Yasuyuki Kato‐Yamada Japan 17 1.7k 1.4× 238 0.9× 129 1.3× 75 0.8× 172 2.0× 32 2.0k
Jonathan M. Crane United States 19 1.4k 1.2× 233 0.9× 53 0.5× 38 0.4× 99 1.1× 24 1.8k
Laura A. Lavery United States 14 1.5k 1.3× 187 0.7× 263 2.7× 27 0.3× 156 1.8× 17 1.7k

Countries citing papers authored by Souvik Modi

Since Specialization
Citations

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

Fields of papers citing papers by Souvik Modi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Souvik Modi

This figure shows the co-authorship network connecting the top 25 collaborators of Souvik Modi. A scholar is included among the top collaborators of Souvik Modi 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 Souvik Modi. Souvik Modi 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.
Bekier, Michael E., Frederick A. Schroeder, Florence F. Wagner, et al.. (2025). A next-generation HDAC6 inhibitor for amyotrophic lateral sclerosis and frontotemporal dementia. Brain.
3.
Zhong, Jim, Jane E. Harding, Souvik Modi, et al.. (2024). Management of penetrating splenic trauma; is it different to the management of blunt trauma?. Injury. 56(5). 112084–112084.
4.
Vergara, Hernando Martínez, Sean M. Smith, Jacob Marcus, et al.. (2024). Multimodal Blood-Based Biomarker Panel Reveals Altered Lysosomal Ionic Content in Alzheimer’s Disease. ACS Chemical Biology. 20(1). 137–152. 2 indexed citations
5.
Patel, Sanjay, Paul Jenkins, Jim Zhong, et al.. (2023). Better safe than so ray: national survey of radiation protection amongst interventional radiology trainees in the United Kingdom. British Journal of Radiology. 96(1149). 20230071–20230071. 3 indexed citations
6.
Gupta, Ruta, Narges Bazargani, James Drew, et al.. (2022). The non-adrenergic imidazoline-1 receptor protein nischarin is a key regulator of astrocyte glutamate uptake. iScience. 25(4). 104127–104127. 5 indexed citations
7.
Zajac, Matthew, Souvik Modi, & Yamuna Krishnan. (2022). The evolution of organellar calcium mapping technologies. Cell Calcium. 108. 102658–102658. 13 indexed citations
8.
Dixit, Anubhuti, et al.. (2020). Neuronal control of lipid metabolism by STR‐2 G protein‐coupled receptor promotes longevity in Caenorhabditis elegans. Aging Cell. 19(6). e13160–e13160. 18 indexed citations
9.
Modi, Souvik, Guillermo López‐Doménech, Els F. Halff, et al.. (2019). Miro clusters regulate ER-mitochondria contact sites and link cristae organization to the mitochondrial transport machinery. Nature Communications. 10(1). 4399–4399. 138 indexed citations
10.
Schrag, Anette, et al.. (2018). Patient experiences of receiving a diagnosis of Parkinson’s disease. Journal of Neurology. 265(5). 1151–1157. 27 indexed citations
11.
Modi, Souvik, Nathalie Higgs, David F. Sheehan, Lewis D. Griffin, & Josef T. Kittler. (2018). Quantum dot conjugated nanobodies for multiplex imaging of protein dynamics at synapses. Nanoscale. 10(21). 10241–10249. 16 indexed citations
12.
Norkett, Rosalind, Souvik Modi, & Josef T. Kittler. (2017). Mitochondrial roles of the psychiatric disease risk factor DISC1. Schizophrenia Research. 187. 47–54. 20 indexed citations
13.
Norkett, Rosalind, Souvik Modi, Nicol Birsa, et al.. (2015). DISC1-dependent Regulation of Mitochondrial Dynamics Controls the Morphogenesis of Complex Neuronal Dendrites. Journal of Biological Chemistry. 291(2). 613–629. 86 indexed citations
14.
Modi, Souvik, et al.. (2013). Recombinant antibody mediated delivery of organelle-specific DNA pH sensors along endocytic pathways. Nanoscale. 6(2). 1144–1152. 29 indexed citations
15.
Modi, Souvik, et al.. (2013). Two DNA nanomachines map pH changes along intersecting endocytic pathways inside the same cell. Nature Nanotechnology. 8(6). 459–467. 293 indexed citations
16.
Modi, Souvik & Yamuna Krishnan. (2011). A Method to Map Spatiotemporal pH Changes Inside Living Cells Using a pH-Triggered DNA Nanoswitch. Methods in molecular biology. 749. 61–77. 4 indexed citations
17.
Modi, Souvik, Dhiraj Bhatia, Friedrich C. Simmel, & Yamuna Krishnan. (2010). Structural DNA Nanotechnology: From Bases to Bricks, From Structure to Function. The Journal of Physical Chemistry Letters. 1(13). 1994–2005. 56 indexed citations
18.
Modi, Souvik, et al.. (2009). A DNA nanomachine that maps spatial and temporal pH changes inside living cells. Nature Nanotechnology. 4(5). 325–330. 643 indexed citations breakdown →
19.
Chakraborty, Saikat, Souvik Modi, & Yamuna Krishnan. (2007). The RNA2–PNA2hybrid i-motif—a novel RNA-based building block. Chemical Communications. 70–72. 15 indexed citations
20.
Modi, Souvik, Ajazul H. Wani, & Yamuna Krishnan. (2006). The PNA–DNA hybrid I-motif: implications for sugar–sugar contacts in i-motif tetramerization. Nucleic Acids Research. 34(16). 4354–4363. 38 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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