Shreya Pathak
Impact in
-
- SARS-CoV-2 detection and testing
Papers in
-
- Radiation Dose and Imaging 2
- MRI in cancer diagnosis 1
- Co-authors
- Κ. V. Subbarao (1 shared paper)Qiao Zhang (2 shared papers)Tanmay P. Lele (2 shared papers)Ajit Rajwade (2 shared papers)Yash Gupta (2 shared papers)Manoj Gopalkrishnan (2 shared papers)Rishi Agarwal (1 shared paper)Ranjala Ratnayake (1 shared paper)
- Journals
- Physics in Medicine and Biology (3 papers)Molecular Biology of the Cell (1 paper)Journal of Cellular Physiology (1 paper)Archives of Medical Research (1 paper)National Journal of Physiology Pharmacy and Pharmacology (1 paper)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Shreya Pathak
13 papers receiving 106 citations
Peers
Comparison fields: 5 of 43
- Infectious Diseases 28
- Acoustics and Ultrasonics 1
- Biophysics 6
- Cell Biology 16
- Geophysics 10
Countries citing papers authored by Shreya Pathak
This map shows the geographic impact of Shreya Pathak'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 Shreya Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shreya Pathak more than expected).
Fields of papers citing papers by Shreya Pathak
This network shows the impact of papers produced by Shreya Pathak. 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 Shreya Pathak. The network helps show where Shreya Pathak may publish in the future.
Co-authors
The 25 scholars most cited alongside Shreya Pathak, 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 | 2020 | 28 | |
| 2 | 2021 | 28 | |
| 3 | 1993 | 10 | |
| 4 | 2019 | 9 | |
| 5 | A Compressed Sensing Approach to Group-testing for COVID-19 Detection | 2020 | 8 |
| 6 | 2023 | 8 | |
| 7 | 2024 | 6 | |
| 8 | 2022 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2019 | 2 | |
| 11 | 2018 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2023 | 0 | |
| 15 | 2026 | 0 | |
| 16 | 2024 | 0 |
About Shreya Pathak
Shreya Pathak is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Artificial Intelligence and Pathology and Forensic Medicine, having authored 16 papers that have together received 106 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), SARS-CoV-2 detection and testing (2 papers), Topic Modeling (2 papers), Radiation Dose and Imaging (2 papers), MRI in cancer diagnosis (1 paper), Mathematical Biology Tumor Growth (1 paper), Health and Well-being Studies (1 paper) and Hate Speech and Cyberbullying Detection (1 paper). The work is most often cited by research in Infectious Diseases (28 citations), Acoustics and Ultrasonics (1 citation), Biophysics (6 citations), Cell Biology (16 citations) and Geophysics (10 citations). Shreya Pathak has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Κ. V. Subbarao, Qiao Zhang, Tanmay P. Lele, Ajit Rajwade, Yash Gupta, Manoj Gopalkrishnan, Rishi Agarwal, Ranjala Ratnayake, Hendrik Luesch and Andrew D. Stephens. Their work appears in journals such as Physics in Medicine and Biology, Molecular Biology of the Cell, Journal of Cellular Physiology, Archives of Medical Research and National Journal of Physiology Pharmacy and Pharmacology.
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.