Dharshini Gopal

505 total citations
14 papers, 358 citations indexed

About

Dharshini Gopal is a scholar working on Computational Theory and Mathematics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Dharshini Gopal has authored 14 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 4 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Dharshini Gopal's work include Computational Drug Discovery Methods (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Synthesis and biological activity (3 papers). Dharshini Gopal is often cited by papers focused on Computational Drug Discovery Methods (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Synthesis and biological activity (3 papers). Dharshini Gopal collaborates with scholars based in India, France and United States. Dharshini Gopal's co-authors include Shweta Chakrabarti, Nirmal Mazumder, Soumyabrata Banik, Sinosh Skariyachan, Akshay Uttarkar, Vidya Niranjan, Sindhoora Kaniyala Melanthota, Raghu Radhakrishnan, Shama Prasada Kabekkodu and Ishita Chakraborty and has published in prestigious journals such as Nature Communications, Computers in Biology and Medicine and Pharmaceutics.

In The Last Decade

Dharshini Gopal

13 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dharshini Gopal India 10 188 70 68 57 52 14 358
Jonathan Wingfield United Kingdom 10 289 1.5× 70 1.0× 38 0.6× 71 1.2× 23 0.4× 17 439
Genwei Zhang China 11 230 1.2× 28 0.4× 22 0.3× 69 1.2× 49 0.9× 25 455
Pavanapuresan P. Vaidyanathan United States 9 442 2.4× 40 0.6× 29 0.4× 32 0.6× 26 0.5× 12 566
J. Santeri Puranen Finland 9 238 1.3× 55 0.8× 162 2.4× 25 0.4× 33 0.6× 9 553
Leslie S. Wolfe United States 7 458 2.4× 24 0.3× 29 0.4× 46 0.8× 46 0.9× 14 666
Zhong‐Ru Xie United States 16 433 2.3× 40 0.6× 114 1.7× 25 0.4× 27 0.5× 38 571
Jehad Aldahdooh Finland 7 395 2.1× 53 0.8× 208 3.1× 21 0.4× 33 0.6× 12 634
Stephen Ashman United Kingdom 9 187 1.0× 25 0.4× 25 0.4× 49 0.9× 21 0.4× 14 374
Mohamad Reza Ganjalikhany Iran 12 327 1.7× 63 0.9× 41 0.6× 36 0.6× 39 0.8× 27 443
Zina Itkin United States 11 188 1.0× 12 0.2× 165 2.4× 38 0.7× 190 3.7× 24 466

Countries citing papers authored by Dharshini Gopal

Since Specialization
Citations

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

Fields of papers citing papers by Dharshini Gopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dharshini Gopal

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

All Works

14 of 14 papers shown
1.
Gopal, Dharshini, Julie Delaroche, Christophe Bosc, et al.. (2025). The Mn-motif protein MAP6d1 assembles ciliary doublet microtubules. Nature Communications. 16(1). 6210–6210.
2.
Banik, Soumyabrata, Shweta Chakrabarti, Dharshini Gopal, et al.. (2023). Isolation, Detection and Analysis of Circulating Tumour Cells: A Nanotechnological Bioscope. Pharmaceutics. 15(1). 280–280. 10 indexed citations
3.
Melanthota, Sindhoora Kaniyala, et al.. (2022). Deep learning-based image processing in optical microscopy. Biophysical Reviews. 14(2). 463–481. 49 indexed citations
4.
Melanthota, Sindhoora Kaniyala, Yury V. Kistenev, Ekaterina Borisova, et al.. (2022). Types of spectroscopy and microscopy techniques for cancer diagnosis: a review. Lasers in Medical Science. 37(8). 3067–3084. 14 indexed citations
5.
Khokhar, Manoj, et al.. (2022). Types of Optical Coherence Tomography for Cancer Diagnosis: A Systematic Review. Journal of Biomedical Photonics & Engineering. 8(1). 10201–10201. 4 indexed citations
6.
Skariyachan, Sinosh, et al.. (2021). Structural insights on the interaction potential of natural leads against major protein targets of SARS-CoV-2: Molecular modelling, docking and dynamic simulation studies. Computers in Biology and Medicine. 132. 104325–104325. 23 indexed citations
7.
Banik, Soumyabrata, et al.. (2021). Elucidating Methods for Isolation and Quantification of Exosomes: A Review. Molecular Biotechnology. 63(4). 249–266. 143 indexed citations
8.
Skariyachan, Sinosh, et al.. (2021). Carbon fullerene and nanotube are probable binders to multiple targets of SARS-CoV-2: Insights from computational modeling and molecular dynamic simulation studies. Infection Genetics and Evolution. 96. 105155–105155. 25 indexed citations
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Melanthota, Sindhoora Kaniyala, Soumyabrata Banik, Ishita Chakraborty, et al.. (2020). Elucidating the microscopic and computational techniques to study the structure and pathology of SARS‐CoVs. Microscopy Research and Technique. 83(12). 1623–1638. 14 indexed citations
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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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2026