Mehak Nanda
Impact in
-
- Telemedicine and Telehealth Implementation
- General Health Professions top 10%
- Patient Satisfaction in Healthcare
- Mobile Health and mHealth Applications
Papers in
- Co-authors
- Rajesh Sharma (9 shared papers)Paddy Ssentongo (1 shared paper)Anna E. Ssentongo (1 shared paper)Forster Amponsah‐Manu (1 shared paper)John S. Oh (1 shared paper)Claudio Fronterrè (1 shared paper)Kai Zhang (1 shared paper)Sumaira Mubarik (1 shared paper)
- Journals
- Telemedicine Journal and e-Health (1 paper)International Journal of Health Services (1 paper)Health Policy and Planning (1 paper)Frontiers in Public Health (1 paper)Nephrology (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Mehak Nanda
9 papers receiving 335 citations
Mehak Nanda's Hit Papers
Peers
Comparison fields: 5 of 95
- Public Health, Environmental and Occupational Health 120
- General Health Professions 99
- Oncology 100
- Health Informatics 4
- Organizational Behavior and Human Resource Management 25
Countries citing papers authored by Mehak Nanda
This map shows the geographic impact of Mehak Nanda'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 Mehak Nanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehak Nanda more than expected).
Fields of papers citing papers by Mehak Nanda
This network shows the impact of papers produced by Mehak Nanda. 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 Mehak Nanda. The network helps show where Mehak Nanda may publish in the future.
Co-authors
The 9 scholars most cited alongside Mehak Nanda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 135 | |
| 2 | Mapping Cancer in Africa: A Comprehensive and Comparable Characterization of 34 Cancer Types Using Estimates From GLOBOCAN 2020 Hit paper breakdown → | 2022 | 110 |
| 3 | 2022 | 33 | |
| 4 | 2022 | 18 | |
| 5 | 2023 | 14 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 3 |
About Mehak Nanda
Mehak Nanda is a scholar working on Finance, Oncology, Pediatrics, Perinatology and Child Health, Organizational Behavior and Human Resource Management and General Health Professions, having authored 9 papers that have together received 341 indexed citations. Recurring topics across this work include Healthcare Systems and Reforms (4 papers), Global Public Health Policies and Epidemiology (3 papers), COVID-19 and healthcare impacts (3 papers), Global Maternal and Child Health (3 papers), COVID-19 epidemiological studies (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Patient Satisfaction in Healthcare (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (120 citations), General Health Professions (99 citations), Oncology (100 citations), Health Informatics (4 citations) and Organizational Behavior and Human Resource Management (25 citations). Mehak Nanda has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Rajesh Sharma, Paddy Ssentongo, Anna E. Ssentongo, Forster Amponsah‐Manu, John S. Oh, Claudio Fronterrè, Kai Zhang, Sumaira Mubarik and Chinmay Jani. Their work appears in journals such as Telemedicine Journal and e-Health, International Journal of Health Services, Health Policy and Planning, Frontiers in Public Health and Nephrology.
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.