Poonam Sharma
- Infectious Diseases top 10%
- Sociology and Political Science
- Molecular Biology
- Epidemiology
- Social Psychology
- Co-authors
- Jeevan JyotiRitesh TandonDipanwita MitraMartin G. McCandlessRobert J. LinhardtFuming ZhangNicole M. AshpoleHao Liu
- Topics
- COVID-19 and Mental Health (4 papers)Emotional Intelligence and Performance (4 papers)Job Satisfaction and Organizational Behavior (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of VirologyScientific Reports
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Poonam Sharma
51 papers receiving 555 citations
Peers
Comparison fields: 5 of 132
- Infectious Diseases 165
- Sociology and Political Science 72
- Molecular Biology 69
- Epidemiology 62
- Social Psychology 55
Countries citing papers authored by Poonam Sharma
This map shows the geographic impact of Poonam Sharma'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 Poonam Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Poonam Sharma more than expected).
Fields of papers citing papers by Poonam Sharma
This network shows the impact of papers produced by Poonam Sharma. 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 Poonam Sharma. The network helps show where Poonam Sharma may publish in the future.
Co-authorship network of co-authors of Poonam Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Poonam Sharma. A scholar is included among the top collaborators of Poonam Sharma 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 Poonam Sharma. Poonam Sharma 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 | 6 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 26 | |
| 10 | 23 | |
| 11 | 191 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | Relation between Myers Briggs Psychological Types and Stress among University Students | 2 |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 16 |
About Poonam Sharma
Poonam Sharma is a scholar working on Drug Discovery, Tourism, Leisure and Hospitality Management and Medical Laboratory Technology, having authored 60 papers that have together received 574 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (4 papers), Emotional Intelligence and Performance (4 papers) and Job Satisfaction and Organizational Behavior (4 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (16 citations), Infectious Diseases (165 citations) and Applied Psychology (23 citations). Poonam Sharma has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Jeevan Jyoti, Ritesh Tandon, Dipanwita Mitra, Martin G. McCandless, Robert J. Linhardt, Fuming Zhang, Nicole M. Ashpole, Hao Liu, Vitor H. Pomin and Joshua S. Sharp. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Virology 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.