Sasmita Panda
Impact in
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- Ovarian cancer diagnosis and treatment
Papers in
- Surgery 6
- Infectious Diseases and Tuberculosis 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)Neeta Mohanty (1 shared paper)Divya Gopinath (1 shared paper)
- Journals
- Life (1 paper)Veterinary World (2 papers)Indian Journal of Pathology and Microbiology (3 papers)Journal of Cytology (2 papers)Journal of Microscopy and Ultrastructure (1 paper)
- Partner nations
- IndiaMalaysiaSouth Korea
In The Last Decade
Sasmita Panda
30 papers receiving 361 citations
Peers
Comparison fields: 5 of 151
- Computational Mathematics 2
- Reproductive Medicine 17
- Aquatic Science 15
- Analytical Chemistry 20
- Artificial Intelligence 70
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 20 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multivariate Statistical Data Analysis- Principal Component Analysis (PCA) - | 2017 | 143 |
| 2 | 2017 | 143 | |
| 3 | 2018 | 21 | |
| 4 | 2016 | 8 | |
| 5 | 2017 | 8 | |
| 6 | 2017 | 8 | |
| 7 | 2017 | 6 | |
| 8 | 2019 | 5 | |
| 9 | 2015 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2012 | 5 | |
| 12 | 2016 | 3 | |
| 13 | 2017 | 3 | |
| 14 | 2016 | 2 | |
| 15 | 2016 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2017 | 2 |
About Sasmita Panda
Sasmita Panda is a scholar working on Surgery, Animal Science and Zoology, Public Health, Environmental and Occupational Health, Molecular Biology and Otorhinolaryngology, having authored 37 papers that have together received 387 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Oral Health Pathology and Treatment (3 papers), Head and Neck Cancer Studies (3 papers), Oral and Maxillofacial Pathology (2 papers), Infectious Diseases and Tuberculosis (2 papers), Sarcoma Diagnosis and Treatment (2 papers) and Bone Tumor Diagnosis and Treatments (2 papers). The work is most often cited by research in Computational Mathematics (2 citations), Reproductive Medicine (17 citations), Aquatic Science (15 citations), Analytical Chemistry (20 citations) and Artificial Intelligence (70 citations). Sasmita Panda has collaborated with scholars based in India, Malaysia and South Korea. Frequent co-authors include Uttam Kumar Sarkar, Subhash Taraphder, Sidharth P. Mishra, Sanjoy Datta, Niranjan Rout, A.K. Panda, Neeta Mohanty, Divya Gopinath, Kamdev Sethy and Sukumaran Anil. Their work appears in journals such as Life, Veterinary World, Indian Journal of Pathology and Microbiology, Journal of Cytology and Journal of Microscopy and Ultrastructure.
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.