Saroj Kumar Panda

532 total citations
27 papers, 400 citations indexed

About

Saroj Kumar Panda is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Saroj Kumar Panda has authored 27 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Infectious Diseases and 8 papers in Computational Theory and Mathematics. Recurrent topics in Saroj Kumar Panda's work include Computational Drug Discovery Methods (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and vaccines and immunoinformatics approaches (7 papers). Saroj Kumar Panda is often cited by papers focused on Computational Drug Discovery Methods (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and vaccines and immunoinformatics approaches (7 papers). Saroj Kumar Panda collaborates with scholars based in India, United States and Belgium. Saroj Kumar Panda's co-authors include Malay Kumar Rana, Parth Sarthi Sen Gupta, Suprabhat Mukherjee, Shalini Saxena, Nabarun Chandra Das, Lalitha Guruprasad, Abhigyan Choudhury, Ritwik Patra, Nisheeth C. Desai and S. D. Singh and has published in prestigious journals such as Scientific Reports, Physical Chemistry Chemical Physics and Inorganic Chemistry.

In The Last Decade

Saroj Kumar Panda

24 papers receiving 398 citations

Peers

Saroj Kumar Panda
Saroj Kumar Panda
Citations per year, relative to Saroj Kumar Panda Saroj Kumar Panda (= 1×) peers Andrea Kreidenweiss

Countries citing papers authored by Saroj Kumar Panda

Since Specialization
Citations

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

Fields of papers citing papers by Saroj Kumar Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saroj Kumar Panda. 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 Saroj Kumar Panda. The network helps show where Saroj Kumar Panda may publish in the future.

Co-authorship network of co-authors of Saroj Kumar Panda

This figure shows the co-authorship network connecting the top 25 collaborators of Saroj Kumar Panda. A scholar is included among the top collaborators of Saroj Kumar Panda 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 Saroj Kumar Panda. Saroj Kumar Panda 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.
Panda, Saroj Kumar, Shashi Bala Singh, & Parth Sarthi Sen Gupta. (2025). Spike Protein–Fibrinogen Interaction: A Novel Immune Evasion Strategy of SARS-CoV-2?. ACS Pharmacology & Translational Science. 8(4). 1182–1184.
2.
Das, Nabarun Chandra, Parth Sarthi Sen Gupta, Saroj Kumar Panda, et al.. (2025). In silico evidence of monkeypox F14 as a ligand for the human TLR1/2 dimer. Frontiers in Immunology. 16. 1544443–1544443. 2 indexed citations
3.
Singh, S. D., Navneet Singh, Parth Sarthi Sen Gupta, et al.. (2024). Assessing the impact of MSH3 and MSH6 polymorphisms on lung cancer risk in North Indian patients undergoing platinum chemotherapy through molecular dynamics simulation. Scientific Reports. 14(1). 16164–16164. 1 indexed citations
4.
Panda, Saroj Kumar, et al.. (2024). Can Duvelisib and Eganelisib work for both cancer and COVID-19? Molecular-level insights from MD simulations and enhanced samplings. Physical Chemistry Chemical Physics. 26(14). 10961–10973. 1 indexed citations
5.
Das, Nabarun Chandra, et al.. (2024). Immune targeting of filarial glutaredoxin through a multi-epitope peptide-based vaccine: A reverse vaccinology approach. International Immunopharmacology. 133. 112120–112120. 10 indexed citations
6.
Tulsiyan, Kiran Devi, Saroj Kumar Panda, Malay Kumar Rana, & Himansu S. Biswal. (2024). Critical assessment of interactions between ct-DNA and choline-based magnetic ionic liquids: evidences of compaction. Chemical Science. 15(15). 5507–5515. 4 indexed citations
7.
Srivastava, Ritika, S. K. Das Gupta, Parth Sarthi Sen Gupta, et al.. (2023). Exploring antiviral potency of N-1 substituted pyrimidines against HIV-1 and other DNA/RNA viruses: Design, synthesis, characterization, ADMET analysis, docking, molecular dynamics and biological activity. Computational Biology and Chemistry. 106. 107910–107910. 9 indexed citations
8.
Desai, Nisheeth C., et al.. (2023). Design, synthesis, antimicrobial activity, DFT, and molecular docking studies of pyridine‐pyrazole‐based dihydro‐1,3,4‐oxadiazoles against various bacterial and fungal targets. Journal of Biochemical and Molecular Toxicology. 37(8). e23377–e23377. 4 indexed citations
9.
Panda, Saroj Kumar, et al.. (2023). Unmasking an Allosteric Binding Site of the Papain-like Protease in SARS-CoV-2: Molecular Dynamics Simulations of Corticosteroids. The Journal of Physical Chemistry Letters. 14(45). 10278–10284. 4 indexed citations
10.
13.
Singh, S. D., et al.. (2023). Genotyping, in silico screening and molecular dynamics simulation of SNPs of MGMT and ERCC1 gene in lung cancer patients treated with platinum-based doublet chemotherapy. Journal of Biomolecular Structure and Dynamics. 42(20). 11231–11250. 3 indexed citations
14.
Gupta, Parth Sarthi Sen, et al.. (2023). Identification and Investigation of a Cryptic Binding Pocket of the P37 Envelope Protein of Monkeypox Virus by Molecular Dynamics Simulations. The Journal of Physical Chemistry Letters. 14(13). 3230–3235. 23 indexed citations
15.
Das, Nabarun Chandra, Parth Sarthi Sen Gupta, Saroj Kumar Panda, Malay Kumar Rana, & Suprabhat Mukherjee. (2022). Reverse vaccinology assisted design of a novel multi-epitope vaccine to target Wuchereria bancrofti cystatin: An immunoinformatics approach. International Immunopharmacology. 115. 109639–109639. 21 indexed citations
16.
Choudhury, Abhigyan, Parth Sarthi Sen Gupta, Saroj Kumar Panda, Malay Kumar Rana, & Suprabhat Mukherjee. (2022). Designing AbhiSCoVac - A single potential vaccine for all ‘corona culprits’: Immunoinformatics and immune simulation approaches. Journal of Molecular Liquids. 351. 118633–118633. 36 indexed citations
17.
Das, Nabarun Chandra, et al.. (2022). Designing efficient multi-epitope peptide-based vaccine by targeting the antioxidant thioredoxin of bancroftian filarial parasite. Infection Genetics and Evolution. 98. 105237–105237. 41 indexed citations
18.
Panda, Saroj Kumar, Parth Sarthi Sen Gupta, & Malay Kumar Rana. (2022). Potential targets of severe acute respiratory syndrome coronavirus 2 of clinical drug fluvoxamine: Docking and molecular dynamics studies to elucidate viral action. Cell Biochemistry and Function. 41(1). 98–111. 13 indexed citations
19.
Gupta, Parth Sarthi Sen, et al.. (2021). Repurposing of FDA-approved drugs as potential inhibitors of the SARS-CoV-2 main protease: Molecular insights into improved therapeutic discovery. Computers in Biology and Medicine. 142. 105183–105183. 29 indexed citations
20.
Gupta, Parth Sarthi Sen, et al.. (2020). Binding mechanism and structural insights into the identified protein target of COVID-19 and importin-α with in-vitro effective drug ivermectin. Journal of Biomolecular Structure and Dynamics. 40(5). 2217–2226. 41 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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