Monika Jain
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Infectious Diseases top 5%
- Plant Science top 10%
- Complementary and alternative medicine top 5%
- Co-authors
- Jayaraman MuthukumaranAmit Kumar SinghGizachew Muluneh AmeraRajat Kumar JhaRameez Jabeer KhanEkampreet SinghRashmi Prabha SinghLilly Ganju
- Topics
- Computational Drug Discovery Methods (15 papers)Antibiotic Resistance in Bacteria (9 papers)Bacterial biofilms and quorum sensing (5 papers)
- Cited by
- Complementary and alternative medicineComputational Theory and MathematicsInfectious Diseases
- Journals
- NatureSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Monika Jain
76 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 435
- Computational Theory and Mathematics 262
- Infectious Diseases 251
- Plant Science 248
- Complementary and alternative medicine 148
Countries citing papers authored by Monika Jain
This map shows the geographic impact of Monika Jain'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 Monika Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monika Jain more than expected).
Fields of papers citing papers by Monika Jain
This network shows the impact of papers produced by Monika Jain. 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 Monika Jain. The network helps show where Monika Jain may publish in the future.
Co-authorship network of co-authors of Monika Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Monika Jain. A scholar is included among the top collaborators of Monika Jain 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 Monika Jain. Monika Jain 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 48 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 26 | |
| 17 | A REVIEW OF LABORATORY TECHNIQUES FOR DETECTING LEPTOSPIROSIS | 4 |
| 18 | 30 | |
| 19 | 85 | |
| 20 | Intracerebral haemorrhage as a complication of enteric fever. | 2 |
About Monika Jain
Monika Jain is a scholar working on Molecular Medicine, Health Informatics and Toxicology, having authored 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Antibiotic Resistance in Bacteria (9 papers) and Bacterial biofilms and quorum sensing (5 papers). The work is most often cited by research in Complementary and alternative medicine (148 citations), Computational Theory and Mathematics (262 citations) and Infectious Diseases (251 citations). Monika Jain has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Jayaraman Muthukumaran, Amit Kumar Singh, Gizachew Muluneh Amera, Rajat Kumar Jha, Rameez Jabeer Khan, Ekampreet Singh, Rashmi Prabha Singh, Lilly Ganju, Yogendra Padwad and Amita Pathak. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Scientific Reports.
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.