Deepak Sehgal

746 total citations
26 papers, 541 citations indexed

About

Deepak Sehgal is a scholar working on Infectious Diseases, Hepatology and Molecular Biology. According to data from OpenAlex, Deepak Sehgal has authored 26 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 12 papers in Hepatology and 7 papers in Molecular Biology. Recurrent topics in Deepak Sehgal's work include Hepatitis Viruses Studies and Epidemiology (10 papers), Hepatitis C virus research (9 papers) and Hepatitis B Virus Studies (5 papers). Deepak Sehgal is often cited by papers focused on Hepatitis Viruses Studies and Epidemiology (10 papers), Hepatitis C virus research (9 papers) and Hepatitis B Virus Studies (5 papers). Deepak Sehgal collaborates with scholars based in India, Saudi Arabia and United States. Deepak Sehgal's co-authors include Shahid Jameel, Sheikh Abdul Rahman, Manjula Kalia, Vivek Chandra, Mahua Chakraborty, Jayaraman Valadi, Manjari Mazumdar, Dinesh Gupta, Dinkar Sahal and Ravinder Kumar and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Virology and Molecules.

In The Last Decade

Deepak Sehgal

24 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Sehgal India	10	338	289	108	104	43	26	541
Q. May Wang United States	11	202 0.6×	133 0.5×	153 1.4×	226 2.2×	90 2.1×	14	481
Xiaoqiong Duan China	12	76 0.2×	221 0.8×	120 1.1×	197 1.9×	26 0.6×	30	547
Cromwell Cornillez-Ty United States	6	48 0.1×	200 0.7×	87 0.8×	131 1.3×	18 0.4×	7	381
Jacquelyn Wright-Minogue United States	13	549 1.6×	294 1.0×	435 4.0×	178 1.7×	174 4.0×	17	840
Shiladitya Chattopadhyay India	15	64 0.2×	416 1.4×	96 0.9×	237 2.3×	213 5.0×	21	646
Navaneethan Palanisamy Sweden	12	128 0.4×	188 0.7×	154 1.4×	176 1.7×	14 0.3×	31	482
Che-Man Chan Hong Kong	10	35 0.1×	370 1.3×	497 4.6×	152 1.5×	26 0.6×	10	664
Eugenia S. Mardanova Russia	14	36 0.1×	119 0.4×	105 1.0×	306 2.9×	16 0.4×	35	513
Ginés Ávila‐Pérez Spain	11	18 0.1×	168 0.6×	116 1.1×	73 0.7×	17 0.4×	17	324
Liliana Brown United States	8	72 0.2×	62 0.2×	65 0.6×	239 2.3×	15 0.3×	12	441

Countries citing papers authored by Deepak Sehgal

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Sehgal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Sehgal

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

All Works

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20 of 20 papers shown

Kumar, Akash, Vikas Kumar, Mohammad Khalid Parvez, et al.. (2025). Corticosteroid Prednisolone and flavonoid Chrysin as drug candidates against SARS-CoV-2 replication: Computational and experimental findings. Microbial Pathogenesis. 207. 107923–107923.

Ishani, Areef, Sudhanshu Vrati, Mohammad Khalid Parvez, et al.. (2025). Psoralidin acts as a dual protease inhibitor against PL ^pro and M ^pro of SARS ‐ CoV ‐2. FEBS Journal. 292(5). 1106–1123. 1 indexed citations

Kumar, Vikas, Rajiv K. Singh, Shivajirao L. Gholap, et al.. (2025). Ethyl acetate extract of Ruta graveolens: a specific and potent inhibitor against the drug-resistant EGFR_T790M mutant in NSCLC. Frontiers in Pharmacology. 16. 1570108–1570108. 1 indexed citations

Singh, Deepa, Vikas Kumar, Manoj Kumar, et al.. (2025). Redefining NSP12 activity in SARS-CoV-2 and its regulation by NSP8 and NSP7. Molecular Therapy — Nucleic Acids. 36(1). 102452–102452.

Kumar, Akash, et al.. (2024). AGC family kinase of Entamoeba histolytica: Decoding the members biochemically. PLoS Pathogens. 20(11). e1012729–e1012729. 1 indexed citations

Kumar, Akash, et al.. (2024). In silico identification of chikungunya virus replication inhibitor validated using biochemical and cell‐based approaches. FEBS Journal. 291(12). 2656–2673. 3 indexed citations

Al‐Dosari, Mohammed S., et al.. (2023). Inhibition of HEV Replication by FDA-Approved RdRp Inhibitors. ACS Omega. 8(44). 41570–41578. 2 indexed citations

Inampudi, Krishna Kishore, et al.. (2023). Identification of a novel inhibitor of SARS‐CoV ‐2 main protease: an in silico , biochemical, and cell‐based approach. FEBS Journal. 290(23). 5496–5513. 5 indexed citations

Ishtikhar, Mohd, Shweta Saraswat, Manoj Munde, et al.. (2022). Biochemical and Biophysical Characterisation of the Hepatitis E Virus Guanine-7-Methyltransferase. Molecules. 27(5). 1505–1505. 8 indexed citations

10.

Parvez, Mohammad Khalid, et al.. (2022). Inhibition of Hepatitis E Virus Replication by Novel Inhibitor Targeting Methyltransferase. Viruses. 14(8). 1778–1778. 5 indexed citations

11.

Sehgal, Deepak, et al.. (2021). In silico identification of natural antiviral compounds as a potential inhibitor of chikungunya virus non-structural protein 3 macrodomain. Journal of Biomolecular Structure and Dynamics. 40(22). 11560–11570. 9 indexed citations

12.

Saraswat, Shweta, et al.. (2020). Hepatitis E Virus Cysteine Protease Has Papain Like Properties Validated by in silico Modeling and Cell-Free Inhibition Assays. Frontiers in Cellular and Infection Microbiology. 9. 478–478. 13 indexed citations

13.

Kumar, Manjeet, et al.. (2020). Development of BacMam Induced Hepatitis E Virus Replication Model in Hepatoma Cells to Study the Polyprotein Processing. Frontiers in Microbiology. 11. 1347–1347. 11 indexed citations

14.

Sehgal, Deepak, et al.. (2017). Quantitative Structure Activity Relationship study of the Anti-Hepatitis Peptides employing Random Forest and Extra Tree regressors. Bioinformation. 13(3). 60–62. 26 indexed citations

15.

Sehgal, Deepak, et al.. (2017). Recent trends in antimicrobial peptide prediction using machine learning techniques. Bioinformation. 13(12). 415–416. 9 indexed citations

16.

Panihar, Usha, et al.. (2009). A study of serum IgE in allergic diseases.. 23(1). 29–36. 1 indexed citations

17.

Sehgal, Deepak, et al.. (2006). Expression and processing of the Hepatitis E virus ORF1 nonstructural polyprotein. Virology Journal. 3(1). 38–38. 65 indexed citations

18.

Acharya, Asha, et al.. (2002). Bombyx mori nucleopolyhedrovirus: Molecular biology and biotechnological applications for large-scale synthesis of recombinant proteins. Current Science. 83(4). 455–465. 28 indexed citations

19.

Sehgal, Deepak, et al.. (2002). Purification and diagnostic utility of a recombinant hepatitis E virus capsid protein expressed in insect larvae. Protein Expression and Purification. 27(1). 27–34. 29 indexed citations

20.

Körkaya, Hasan, Shahid Jameel, Dinesh Gupta, et al.. (2001). The ORF3 Protein of Hepatitis E Virus Binds to Src Homology 3 Domains and Activates MAPK. Journal of Biological Chemistry. 276(45). 42389–42400. 123 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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