Lovika Mittal
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Infectious Diseases top 10%
- Organic Chemistry
- Oncology
- Co-authors
- Shailendra AsthanaMitul SrivastavaAnita KumariMrityunjay SinghRajiv Kumar TonkAmit AwasthiDharam Pal PathakSankar Bhattacharyya
- Topics
- Computational Drug Discovery Methods (9 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)HIV/AIDS drug development and treatment (3 papers)
- Journals
- The Journal of Physical Chemistry BJournal of Medicinal ChemistryArchives of Biochemistry and Biophysics
- Partner nations
- IndiaUnited Arab EmiratesItaly
In The Last Decade
Lovika Mittal
17 papers receiving 385 citations
Peers
Comparison fields: 5 of 62
- Computational Theory and Mathematics 214
- Molecular Biology 164
- Infectious Diseases 136
- Organic Chemistry 61
- Oncology 41
Countries citing papers authored by Lovika Mittal
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 14 | |
| 9 | 15 | |
| 10 | 22 | |
| 11 | 21 | |
| 12 | 16 | |
| 13 | 15 | |
| 14 | 38 | |
| 15 | 159 | |
| 16 | 13 | |
| 17 | 25 | |
| 18 | 24 |
About Lovika Mittal
Lovika Mittal is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Virology, having authored 18 papers that have together received 388 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Computational Theory and Mathematics (214 citations), Infectious Diseases (136 citations) and Virology (12 citations). Lovika Mittal has collaborated with scholars based in India, United Arab Emirates and Italy. Frequent 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. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of Medicinal Chemistry and Archives of Biochemistry and Biophysics.
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.