Sasmita Panda
Impact in
Papers in
- Surgery 9
- Salivary Gland Tumors Diagnosis and Treatment 2
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- Animal Nutrition and Physiology 4
- Co-authors
- Uttam Kumar Sarkar (2 shared papers)Subhash Taraphder (2 shared papers)Sidharth P. Mishra (3 shared papers)Sanjoy Datta (2 shared papers)Niranjan Rout (11 shared papers)A.K. Panda (3 shared papers)Kamdev Sethy (2 shared papers)Shailesh Kumar Gupta (2 shared papers)
- Journals
- Life (1 paper)Veterinary World (2 papers)SHILAP Revista de lepidopterología (3 papers)Indian Journal of Pathology and Microbiology (3 papers)Journal of Cytology (2 papers)
- Partner nations
- IndiaSouth KoreaSaudi Arabia
In The Last Decade
Sasmita Panda
29 papers receiving 317 citations
Peers
Comparison fields: 5 of 146
- Computational Mathematics 2
- Aquatic Science 15
- Analytical Chemistry 20
- Reproductive Medicine 17
- Artificial Intelligence 58
Countries citing papers authored by Sasmita Panda
This map shows the geographic impact of Sasmita Panda'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 Sasmita Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sasmita Panda more than expected).
Fields of papers citing papers by Sasmita Panda
This network shows the impact of papers produced by Sasmita Panda. 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 Sasmita Panda. The network helps show where Sasmita Panda may publish in the future.
Co-authors
The 21 scholars most cited alongside Sasmita Panda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multivariate Statistical Data Analysis- Principal Component Analysis (PCA) - | 2017 | 134 |
| 2 | 2017 | 114 | |
| 3 | 2018 | 19 | |
| 4 | 2017 | 8 | |
| 5 | 2017 | 8 | |
| 6 | 2016 | 7 | |
| 7 | 2017 | 5 | |
| 8 | 2019 | 5 | |
| 9 | 2015 | 5 | |
| 10 | 2012 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2017 | 3 | |
| 13 | 2016 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2016 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2021 | 1 |
About Sasmita Panda
Sasmita Panda is a scholar working on Surgery, Animal Science and Zoology, Molecular Biology, Aquatic Science and Public Health, Environmental and Occupational Health, having authored 36 papers that have together received 342 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Head and Neck Cancer Studies (3 papers), Oral Health Pathology and Treatment (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers), Oral and Maxillofacial Pathology (2 papers) and Aquaculture Nutrition and Growth (2 papers). The work is most often cited by research in Computational Mathematics (2 citations), Aquatic Science (15 citations), Analytical Chemistry (20 citations), Reproductive Medicine (17 citations) and Artificial Intelligence (58 citations). Sasmita Panda has collaborated with scholars based in India, South Korea and Saudi Arabia. Frequent co-authors include Uttam Kumar Sarkar, Subhash Taraphder, Sidharth P. Mishra, Sanjoy Datta, Niranjan Rout, A.K. Panda, Kamdev Sethy, Shailesh Kumar Gupta, G. Panigrahi and Annapurna Sahoo. Their work appears in journals such as Life, Veterinary World, SHILAP Revista de lepidopterología, Indian Journal of Pathology and Microbiology and Journal of Cytology.
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.