Leny Jose
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
-
- Antibiotic Resistance in Bacteria
Papers in
-
- Ubiquitin and proteasome pathways 5
- Cancer-related gene regulation 3
- Protein Degradation and Inhibitors 2
- Gut microbiota and health 2
-
- Tuberculosis Research and Epidemiology 7
- Co-authors
- Sathish Mundayoor (7 shared papers)Ramakrishnan Ajay Kumar (6 shared papers)Elliot J. Androphy (10 shared papers)Marsha DeSmet (9 shared papers)Aneesh Chandran (2 shared papers)Vipin Gopinath (2 shared papers)R. Ajay Kumar (2 shared papers)Sharrel Rebello (3 shared papers)
- Journals
- Journal of Virology (6 papers)Pathogens (3 papers)FEBS Journal (2 papers)Applied Microbiology and Biotechnology (1 paper)Applied Biochemistry and Biotechnology (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Leny Jose
21 papers receiving 448 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 158
- Molecular Medicine 33
- Microbiology 29
- Pharmacology 40
- Epidemiology 137
Countries citing papers authored by Leny Jose
This map shows the geographic impact of Leny Jose'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 Leny Jose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leny Jose more than expected).
Fields of papers citing papers by Leny Jose
This network shows the impact of papers produced by Leny Jose. 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 Leny Jose. The network helps show where Leny Jose may publish in the future.
Co-authors
The 25 scholars most cited alongside Leny Jose, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 77 | |
| 2 | 2011 | 74 | |
| 3 | 2015 | 59 | |
| 4 | 2015 | 52 | |
| 5 | 2017 | 33 | |
| 6 | 2019 | 24 | |
| 7 | 2020 | 17 | |
| 8 | 2019 | 15 | |
| 9 | 2016 | 14 | |
| 10 | 2012 | 14 | |
| 11 | 2017 | 12 | |
| 12 | 2018 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2015 | 3 | |
| 20 | 2023 | 2 |
About Leny Jose
Leny Jose is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Genetics and Oncology, having authored 21 papers that have together received 455 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Ubiquitin and proteasome pathways (5 papers), Virus-based gene therapy research (4 papers), Cervical Cancer and HPV Research (3 papers), Cancer-related gene regulation (3 papers), Protein Degradation and Inhibitors (2 papers), Gut microbiota and health (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Infectious Diseases (158 citations), Molecular Medicine (33 citations), Microbiology (29 citations), Pharmacology (40 citations) and Epidemiology (137 citations). Leny Jose has collaborated with scholars based in United States, India and China. Frequent co-authors include Sathish Mundayoor, Ramakrishnan Ajay Kumar, Elliot J. Androphy, Marsha DeSmet, Aneesh Chandran, Vipin Gopinath, R. Ajay Kumar, Sharrel Rebello, Krishnamurthy Natarajan and Abdul Jaleel. Their work appears in journals such as Journal of Virology, Pathogens, FEBS Journal, Applied Microbiology and Biotechnology and Applied Biochemistry and Biotechnology.
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.