Soumya De

1.5k total citations
75 papers, 1.1k citations indexed

About

Soumya De is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Biomaterials. According to data from OpenAlex, Soumya De has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 16 papers in Electrical and Electronic Engineering and 10 papers in Biomaterials. Recurrent topics in Soumya De's work include Electromagnetic Compatibility and Noise Suppression (11 papers), Protein Structure and Dynamics (8 papers) and RNA and protein synthesis mechanisms (8 papers). Soumya De is often cited by papers focused on Electromagnetic Compatibility and Noise Suppression (11 papers), Protein Structure and Dynamics (8 papers) and RNA and protein synthesis mechanisms (8 papers). Soumya De collaborates with scholars based in India, United States and Canada. Soumya De's co-authors include Anjan Chakraborty, Gautam Majumdar, Sunando DasGupta, P. Rai, James L. Drewniak, Linda K. Nicholson, Marina Y. Koledintseva, Lawrence P. McIntosh, Scott Hinaga and Evgenii L. Kovrigin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Soumya De

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soumya De India 20 472 220 109 107 103 75 1.1k
Meiying Zhang China 22 473 1.0× 249 1.1× 101 0.9× 58 0.5× 216 2.1× 62 1.3k
Keiji Suzuki Japan 14 421 0.9× 175 0.8× 48 0.4× 107 1.0× 94 0.9× 32 1.2k
Minh-Tri Le Vietnam 19 198 0.4× 387 1.8× 170 1.6× 73 0.7× 384 3.7× 102 1.2k
Chun‐Han Chen Taiwan 22 547 1.2× 75 0.3× 65 0.6× 64 0.6× 63 0.6× 68 1.3k
Henk‐Jan van Manen Netherlands 19 374 0.8× 120 0.5× 68 0.6× 29 0.3× 99 1.0× 32 1.3k
Zi Li China 22 829 1.8× 410 1.9× 37 0.3× 108 1.0× 318 3.1× 160 2.7k
Atsushi Kobayashi Japan 25 1.0k 2.2× 353 1.6× 72 0.7× 137 1.3× 186 1.8× 120 1.9k
Yujie Wang China 23 797 1.7× 53 0.2× 121 1.1× 205 1.9× 245 2.4× 118 1.9k

Countries citing papers authored by Soumya De

Since Specialization
Citations

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

Fields of papers citing papers by Soumya De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soumya De

This figure shows the co-authorship network connecting the top 25 collaborators of Soumya De. A scholar is included among the top collaborators of Soumya De 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 Soumya De. Soumya De 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.
Kumar, Manoj, Polamarasetty Aparoy, Saroj Kumar, et al.. (2025). In Silico Screening and Molecular Dynamics Simulations of Small Molecules Targeting Peptidyl tRNA Hydrolase for Drug-Resistant Tuberculosis. ACS Omega. 10(33). 37115–37127.
2.
Inampudi, Krishna Kishore, et al.. (2024). The intrinsically disordered transactivation region of HOXA9 regulates its function by auto-inhibition of its DNA-binding activity. International Journal of Biological Macromolecules. 273(Pt 2). 132704–132704. 2 indexed citations
3.
De, Soumya, et al.. (2024). Experimental methods to study the structure and dynamics of intrinsically disordered regions in proteins. SHILAP Revista de lepidopterología. 7. 100138–100138. 24 indexed citations
4.
De, Soumya, et al.. (2024). Stability and dynamics of extradenticle modulates its function. SHILAP Revista de lepidopterología. 7. 100150–100150.
5.
Mukherjee, Somnath, et al.. (2023). Crystal structure of a mycobacterial secretory protein Rv0398c and in silico prediction of its export pathway. Biochemical and Biophysical Research Communications. 672. 45–53. 2 indexed citations
6.
De, Soumya, et al.. (2022). Non-enzymatic glycation of human angiogenin: Effects on enzymatic activity and binding to hRI and DNA. Biochimie. 208. 151–159. 2 indexed citations
7.
Roy, Pritam, et al.. (2022). β-cyclodextrin encapsulation of curcumin elicits an altered mode of angiogenin inhibition: In vitro and in vivo studies. International Journal of Biological Macromolecules. 208. 654–666. 7 indexed citations
8.
9.
Khilkevich, Victor, Yuanzhuo Liu, Han Gao, et al.. (2020). Dielectric Loss Tangent Extraction Using Modal Measurements and 2-D Cross-Sectional Analysis for Multilayer PCBs. IEEE Transactions on Electromagnetic Compatibility. 62(4). 1278–1292. 23 indexed citations
10.
Lee, Woonghee, et al.. (2020). Structural Insights into N-terminal IgV Domain of BTNL2, a T Cell Inhibitory Molecule, Suggests a Non-canonical Binding Interface for Its Putative Receptors. Journal of Molecular Biology. 432(22). 5938–5950. 13 indexed citations
11.
De, Soumya, et al.. (2020). Characterization of active/binding site residues of peptidyl-tRNA hydrolase using biophysical and computational studies. International Journal of Biological Macromolecules. 159. 877–885. 5 indexed citations
12.
Manna, Bharat, et al.. (2019). Dynamic Studies on Intrinsically Disordered Regions of Two Paralogous Transcription Factors Reveal Rigid Segments with Important Biological Functions. Journal of Molecular Biology. 431(7). 1353–1369. 21 indexed citations
13.
14.
De, Soumya, Mark Okon, Barbara J. Graves, & Lawrence P. McIntosh. (2016). Autoinhibition of ETV6 DNA Binding Is Established by the Stability of Its Inhibitory Helix. Journal of Molecular Biology. 428(8). 1515–1530. 13 indexed citations
15.
Zhang, Yaojiang, Dazhao Liu, Soumya De, et al.. (2015). An Efficient Hybrid Finite-Element Analysis of Multiple Vias Sharing the Same Anti-Pad in an Arbitrarily Shaped Parallel-Plate Pair. IEEE Transactions on Microwave Theory and Techniques. 63(3). 883–890. 21 indexed citations
16.
De, Soumya, Anson Chan, Niraja Bhachech, et al.. (2013). Steric Mechanism of Auto-Inhibitory Regulation of Specific and Non-Specific DNA Binding by the ETS Transcriptional Repressor ETV6. Journal of Molecular Biology. 426(7). 1390–1406. 38 indexed citations
17.
De, Soumya, R. Joe Stanley, Cheng Lu, et al.. (2013). A fusion-based approach for uterine cervical cancer histology image classification. Computerized Medical Imaging and Graphics. 37(7-8). 475–487. 35 indexed citations
18.
De, Soumya, et al.. (2012). Autoinhibition of ETV6 (TEL) DNA Binding: Appended Helices Sterically Block the ETS Domain. Journal of Molecular Biology. 421(1). 67–84. 26 indexed citations
19.
Maiti, Tushar Kanti, Soumya De, Swagata Dasgupta, & Tanmaya Pathak. (2005). 3′-N-Alkylamino-3′-deoxy-ara-uridines: A new class of potential inhibitors of ribonuclease A and angiogenin. Bioorganic & Medicinal Chemistry. 14(4). 1221–1228. 30 indexed citations
20.
Mukherjee, Sayan, Soumya De, Zhumur Ghosh, & Swagata Dasgupta. (2005). A docking interaction study of the effect of critical mutations in ribonuclease a on protein‐ligand binding. Biochemistry and Molecular Biology Education. 33(5). 335–343. 6 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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