Paras Jain
- Infectious Diseases top 2%
- Epidemiology top 5%
- Molecular Biology
- Ecology top 10%
- Molecular Medicine top 2%
- Co-authors
- William R. JacobsValakunja NagarajaMichelle H. LarsenCatherine VilchèzeTorin R. WeisbrodBrian WeinrickTravis HartmanTsungda Hsu
- Topics
- Tuberculosis Research and Epidemiology (16 papers)Mycobacterium research and diagnosis (15 papers)Bacteriophages and microbial interactions (11 papers)
- Partner nations
- United StatesIndiaSouth Africa
In The Last Decade
Paras Jain
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Infectious Diseases 710
- Epidemiology 583
- Molecular Biology 521
- Ecology 232
- Molecular Medicine 186
Countries citing papers authored by Paras Jain
This map shows the geographic impact of Paras 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 Paras Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paras Jain more than expected).
Fields of papers citing papers by Paras Jain
This network shows the impact of papers produced by Paras 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 Paras Jain. The network helps show where Paras Jain may publish in the future.
Co-authorship network of co-authors of Paras Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Paras Jain. A scholar is included among the top collaborators of Paras 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 Paras Jain. Paras 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 | 11 | |
| 2 | 47 | |
| 3 | 17 | |
| 4 | 3 | |
| 5 | 135 | |
| 6 | 6 | |
| 7 | 123 | |
| 8 | 22 | |
| 9 | Effect of mulching materials on growth and yield attributes and enhancing farm income through ginger cultivation under rainfed rice based production system | 5 |
| 10 | 28 | |
| 11 | 24 | |
| 12 | 24 | |
| 13 | 171 | |
| 14 | 5 | |
| 15 | 29 | |
| 16 | 69 | |
| 17 | 15 | |
| 18 | 6 | |
| 19 | Genetic association and path analysis for pod and seed attributes in soybean. | 0 |
| 20 | 3 |
About Paras Jain
Paras Jain is a scholar working on Molecular Medicine, Infectious Diseases and Epidemiology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (15 papers) and Bacteriophages and microbial interactions (11 papers). The work is most often cited by research in Infectious Diseases (710 citations), Molecular Medicine (186 citations) and Epidemiology (583 citations). Paras Jain has collaborated with scholars based in United States, India and South Africa. Frequent co-authors include William R. Jacobs, Valakunja Nagaraja, Michelle H. Larsen, Catherine Vilchèze, Torin R. Weisbrod, Brian Weinrick, Travis Hartman, Tsungda Hsu, David S. Thaler and Joel S. Freundlich. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Molecular Biology.
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.