Nandini Sharma
- Infectious Diseases top 5%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- General Health Professions top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Saurav BasuSuneela GargMongjam Meghachandra SinghGK IngleKamal Kishore ChopraJugal KishoreMona DuggalD K Taneja
- Topics
- Tuberculosis Research and Epidemiology (35 papers)Pneumonia and Respiratory Infections (18 papers)Pneumocystis jirovecii pneumonia detection and treatment (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Heart JournalBMC Public Health
- Partner nations
- IndiaUnited StatesBangladesh
In The Last Decade
Nandini Sharma
110 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 152
- Infectious Diseases 473
- Epidemiology 294
- Public Health, Environmental and Occupational Health 279
- General Health Professions 213
- Pediatrics, Perinatology and Child Health 141
Countries citing papers authored by Nandini Sharma
This map shows the geographic impact of Nandini 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 Nandini Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nandini Sharma more than expected).
Fields of papers citing papers by Nandini Sharma
This network shows the impact of papers produced by Nandini 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 Nandini Sharma. The network helps show where Nandini Sharma may publish in the future.
Co-authorship network of co-authors of Nandini Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Nandini Sharma. A scholar is included among the top collaborators of Nandini 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 Nandini Sharma. Nandini 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 21 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | Complete Diphallia with no other associated congenital anomaly | 1 |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | A Review on Democratization of Machine Learning In Cloud | 1 |
| 15 | 2 | |
| 16 | Multivariate regression analysis of air quality index for Hyderabad city: Forecasting model with hourly frequency | 9 |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 25 | |
| 20 | 134 |
About Nandini Sharma
Nandini Sharma is a scholar working on Infectious Diseases, Family Practice and Modeling and Simulation, having authored 131 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (35 papers), Pneumonia and Respiratory Infections (18 papers) and Pneumocystis jirovecii pneumonia detection and treatment (16 papers). The work is most often cited by research in Family Practice (63 citations), Infectious Diseases (473 citations) and Modeling and Simulation (81 citations). Nandini Sharma has collaborated with scholars based in India, United States and Bangladesh. Frequent co-authors include Saurav Basu, Suneela Garg, Mongjam Meghachandra Singh, GK Ingle, Kamal Kishore Chopra, Jugal Kishore, Mona Duggal, D K Taneja, Renuka Saha and Ashwani Khanna. Their work appears in journals such as SHILAP Revista de lepidopterología, American Heart Journal and BMC Public Health.
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.