Lovika Mittal

632 total citations
18 papers, 388 citations indexed

About

Lovika Mittal is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Lovika Mittal has authored 18 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 6 papers in Infectious Diseases. Recurrent topics in Lovika Mittal's work include Computational Drug Discovery Methods (9 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and HIV/AIDS drug development and treatment (3 papers). Lovika Mittal is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and HIV/AIDS drug development and treatment (3 papers). Lovika Mittal collaborates with scholars based in India, United Arab Emirates and Italy. Lovika Mittal's co-authors include Shailendra Asthana, Mitul Srivastava, Anita Kumari, Mrityunjay Singh, Rajiv Kumar Tonk, Amit Awasthi, Dharam Pal Pathak, Sankar Bhattacharyya, Rambabu Gundla and Rajani Mathur and has published in prestigious journals such as The Journal of Physical Chemistry B, Journal of Medicinal Chemistry and Archives of Biochemistry and Biophysics.

In The Last Decade

Lovika Mittal

17 papers receiving 385 citations

Peers

Lovika Mittal
Rajib Islam Bangladesh
Komal Zia Pakistan
Md. Rimon Parves Bangladesh
Lovika Mittal
Citations per year, relative to Lovika Mittal Lovika Mittal (= 1×) peers Anita Kumari

Countries citing papers authored by Lovika Mittal

Since Specialization
Citations

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

Fields of papers citing papers by Lovika Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lovika Mittal

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

All Works

18 of 18 papers shown
1.
Charak, Sonika, Chandra Mohan Srivastava, Dhruv Kumar, et al.. (2025). Beyond DNA interactions: Insights into idarubicin's binding dynamics with tRNA using spectroscopic and computational approaches. Journal of Photochemistry and Photobiology B Biology. 266. 113147–113147.
2.
Singh, Mrityunjay, et al.. (2024). Conformational dynamics of a nicotinic receptor neurotransmitter site. eLife. 13. 2 indexed citations
3.
Mittal, Lovika, Rajiv Kumar Tonk, Amit Awasthi, & Shailendra Asthana. (2023). Harnessing the druggability at orthosteric and allosteric sites of PD-1 for small molecule discovery by an integrated in silico pipeline. Computational Biology and Chemistry. 107. 107965–107965. 1 indexed citations
4.
Srivastava, Mitul, Lovika Mittal, Vijay Kumar Singh, et al.. (2023). Template Entrance Channel as Possible Allosteric Inhibition and Resistance Site for Quinolines Tricyclic Derivatives in RNA Dependent RNA Polymerase of Bovine Viral Diarrhea Virus. Pharmaceuticals. 16(3). 376–376. 3 indexed citations
5.
Wang, Yulu, Amit Sharma, Peng Chen, et al.. (2023). Non-oncology drug (meticrane) shows anti-cancer ability in synergy with epigenetic inhibitors and appears to be involved passively in targeting cancer cells. Frontiers in Oncology. 13. 1157366–1157366. 4 indexed citations
6.
Kumari, Anita, Lovika Mittal, Mitul Srivastava, Dharam Pal Pathak, & Shailendra Asthana. (2023). Deciphering the Structural Determinants Critical in Attaining the FXR Partial Agonism. The Journal of Physical Chemistry B. 127(2). 465–485. 11 indexed citations
7.
Mittal, Lovika, et al.. (2022). Discovery of non-nucleoside oxindole derivatives as potent inhibitors against dengue RNA-dependent RNA polymerase. Bioorganic Chemistry. 131. 106277–106277. 5 indexed citations
8.
Mittal, Lovika, Rajiv Kumar Tonk, Amit Awasthi, & Shailendra Asthana. (2022). Traversing through the Dynamic Protein–Protein Interaction Landscape and Conformational Plasticity of PD-1 for Small-Molecule Discovery. Journal of Medicinal Chemistry. 65(8). 5941–5953. 14 indexed citations
9.
Srivastava, Mitul, Lovika Mittal, Anita Kumari, et al.. (2022). Characterizing (un)binding mechanism of USP7 inhibitors to unravel the cause of enhanced binding potencies at allosteric checkpoint. Protein Science. 31(9). e4398–e4398. 15 indexed citations
10.
Mittal, Lovika, Rajiv Kumar Tonk, Amit Awasthi, & Shailendra Asthana. (2021). Targeting cryptic-orthosteric site of PD-L1 for inhibitor identification using structure-guided approach. Archives of Biochemistry and Biophysics. 713. 109059–109059. 22 indexed citations
11.
Srivastava, Mitul, Lovika Mittal, Anita Kumari, & Shailendra Asthana. (2021). Molecular Dynamics Simulations Reveal the Interaction Fingerprint of Remdesivir Triphosphate Pivotal in Allosteric Regulation of SARS-CoV-2 RdRp. Frontiers in Molecular Biosciences. 8. 639614–639614. 21 indexed citations
12.
Kumari, Anita, Lovika Mittal, Mitul Srivastava, Dharam Pal Pathak, & Shailendra Asthana. (2021). Conformational Characterization of the Co-Activator Binding Site Revealed the Mechanism to Achieve the Bioactive State of FXR. Frontiers in Molecular Biosciences. 8. 658312–658312. 16 indexed citations
13.
Kumari, Anita, Lovika Mittal, Mitul Srivastava, & Shailendra Asthana. (2021). Binding mode characterization of 13b in the monomeric and dimeric states of SARS-CoV-2 main protease using molecular dynamics simulations. Journal of Biomolecular Structure and Dynamics. 40(19). 9287–9305. 15 indexed citations
14.
Mittal, Lovika, Mitul Srivastava, Anita Kumari, et al.. (2021). Interplay among Structural Stability, Plasticity, and Energetics Determined by Conformational Attuning of Flexible Loops in PD-1. Journal of Chemical Information and Modeling. 61(1). 358–384. 38 indexed citations
15.
Mittal, Lovika, Anita Kumari, Mitul Srivastava, Mrityunjay Singh, & Shailendra Asthana. (2020). Identification of potential molecules against COVID-19 main protease through structure-guided virtual screening approach. Journal of Biomolecular Structure and Dynamics. 39(10). 3662–3680. 159 indexed citations
16.
Mittal, Lovika, et al.. (2020). A Review on the Progress and Prospects of Dengue Drug Discovery Targeting NS5 RNA- Dependent RNA Polymerase. Current Pharmaceutical Design. 26(35). 4386–4409. 13 indexed citations
17.
Mittal, Lovika, et al.. (2019). Insights into structural dynamics of allosteric binding sites in HCV RNA-dependent RNA polymerase. Journal of Biomolecular Structure and Dynamics. 38(6). 1–14. 25 indexed citations
18.
Mittal, Lovika, Mitul Srivastava, & Shailendra Asthana. (2019). Conformational Characterization of Linker Revealed the Mechanism of Cavity Formation by 227G in BVDV RDRP. The Journal of Physical Chemistry B. 123(29). 6150–6160. 24 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026