Bhawna Sharma
- Global and Planetary Change top 10%
- Ecology
- Ecological Modeling top 10%
- Cardiology and Cardiovascular Medicine
- Pathology and Forensic Medicine
- Co-authors
- Sajid PareethHarini NagendraRucha GhateDuccio RocchiniKeshav Raj AdhikariCharles M. SchweikBabita GuptaSatinder Aneja
- Topics
- Blood Pressure and Hypertension Studies (9 papers)Pharmaceutical Economics and Policy (4 papers)Healthcare Systems and Reforms (3 papers)
- Partner nations
- IndiaUnited StatesPoland
In The Last Decade
Bhawna Sharma
18 papers receiving 351 citations
Peers
Comparison fields: 5 of 95
- Global and Planetary Change 119
- Ecology 105
- Ecological Modeling 51
- Cardiology and Cardiovascular Medicine 50
- Pathology and Forensic Medicine 46
Countries citing papers authored by Bhawna Sharma
This map shows the geographic impact of Bhawna 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 Bhawna Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhawna Sharma more than expected).
Fields of papers citing papers by Bhawna Sharma
This network shows the impact of papers produced by Bhawna 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 Bhawna Sharma. The network helps show where Bhawna Sharma may publish in the future.
Co-authorship network of co-authors of Bhawna Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Bhawna Sharma. A scholar is included among the top collaborators of Bhawna 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 Bhawna Sharma. Bhawna 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 | 2 | |
| 2 | 9 | |
| 3 | 12 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 13 | |
| 11 | PREVALENCE OF HYPERTENSION AND ITS ASSOCIATION WITH DIFFERENT ANTHROPOMETRIC VARIABLES AMONG ADULTS IN RURAL AREAS OF NORTH INDIA | 3 |
| 12 | 53 | |
| 13 | Dry Eye: Demography and Attributable Risk Factors | 4 |
| 14 | 96 | |
| 15 | 89 | |
| 16 | 41 | |
| 17 | 10 | |
| 18 | 0 | |
| 19 | 6 |
About Bhawna Sharma
Bhawna Sharma is a scholar working on Family Practice, Cardiology and Cardiovascular Medicine and Immunology and Allergy, having authored 19 papers that have together received 370 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (9 papers), Pharmaceutical Economics and Policy (4 papers) and Healthcare Systems and Reforms (3 papers). The work is most often cited by research in Ecological Modeling (51 citations), Global and Planetary Change (119 citations) and Ecology (105 citations). Bhawna Sharma has collaborated with scholars based in India, United States and Poland. Frequent co-authors include Sajid Pareeth, Harini Nagendra, Rucha Ghate, Duccio Rocchini, Keshav Raj Adhikari, Charles M. Schweik, Babita Gupta, Satinder Aneja, R. K. Marwaha and Anju Seth. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Remote Sensing and Landscape Ecology.
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.