Pooja Kansra
- Endocrinology, Diabetes and Metabolism
- Organizational Behavior and Human Resource Management top 10%
- General Health Professions
- Economics and Econometrics
- Finance
- Co-authors
- Sumit OberoiAbhishek JhaHarinder GillSahil RajHarinder SinghPawan KumarMohsen BrahmiPardeep Kumar Sharma
- Topics
- Healthcare Systems and Reforms (8 papers)Global Health Care Issues (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
- Cited by
- Organizational Behavior and Human Resource ManagementEndocrinology, Diabetes and MetabolismFinance
- Journals
- SHILAP Revista de lepidopterologíaSustainabilityInternational Journal of Quality & Reliability Management
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Pooja Kansra
28 papers receiving 192 citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 57
- Organizational Behavior and Human Resource Management 43
- General Health Professions 37
- Economics and Econometrics 33
- Finance 32
Countries citing papers authored by Pooja Kansra
This map shows the geographic impact of Pooja Kansra'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 Pooja Kansra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooja Kansra more than expected).
Fields of papers citing papers by Pooja Kansra
This network shows the impact of papers produced by Pooja Kansra. 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 Pooja Kansra. The network helps show where Pooja Kansra may publish in the future.
Co-authorship network of co-authors of Pooja Kansra
This figure shows the co-authorship network connecting the top 25 collaborators of Pooja Kansra. A scholar is included among the top collaborators of Pooja Kansra 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 Pooja Kansra. Pooja Kansra 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 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 70 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | Socioeconomic Determinants of Awareness of Health Insurance Among Women: An Empirical Analysis | 2 |
| 20 | Determinants of the Buying Behavior of Young Consumers of Branded Clothes: An Empirical Analysis | 3 |
About Pooja Kansra
Pooja Kansra is a scholar working on Finance, Health Information Management and Marketing, having authored 33 papers that have together received 204 indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (8 papers), Global Health Care Issues (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (43 citations), Endocrinology, Diabetes and Metabolism (57 citations) and Finance (32 citations). Pooja Kansra has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Sumit Oberoi, Abhishek Jha, Harinder Gill, Sahil Raj, Harinder Singh, Pawan Kumar, Mohsen Brahmi, Pardeep Kumar Sharma, Hayeon Choi and Cherry Bhargava. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and International Journal of Quality & Reliability Management.
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.