Shweta Tyagi
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology 3
- Hepatitis C virus research 2
- Liver Disease and Transplantation 1
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 2
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- Radiomics and Machine Learning in Medical Imaging 5
- COVID-19 diagnosis using AI 3
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- Lung Cancer Diagnosis and Treatment 4
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- AI in cancer detection 4
Shweta Tyagi
11 papers receiving 347 citations
Peers
Comparison fields: 5 of 50
- Hepatology 207
- Infectious Diseases 156
- Radiology, Nuclear Medicine and Imaging 92
- Small Animals 23
- Neurology 16
Countries citing papers authored by Shweta Tyagi
This map shows the geographic impact of Shweta Tyagi'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 Shweta Tyagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shweta Tyagi more than expected).
Fields of papers citing papers by Shweta Tyagi
This network shows the impact of papers produced by Shweta Tyagi. 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 Shweta Tyagi. The network helps show where Shweta Tyagi may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Shweta Tyagi, 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 | 2024 | 0 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 43 | |
| 6 | 2022 | 13 | |
| 7 | 2022 | 27 | |
| 8 | 2020 | 1 | |
| 9 | 2019 | 19 | |
| 10 | A novel process for physically refining rice bran oil through degumming | 2012 | 10 |
| 11 | 2005 | 39 | |
| 12 | 2004 | 66 | |
| 13 | 2001 | 123 |
About Shweta Tyagi
Shweta Tyagi is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine, Urology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 355 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (4 papers), AI in cancer detection (4 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), COVID-19 diagnosis using AI (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Hepatitis C virus research (2 papers) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Hepatology (207 citations), Infectious Diseases (156 citations), Radiology, Nuclear Medicine and Imaging (92 citations), Small Animals (23 citations) and Neurology (16 citations). Shweta Tyagi has collaborated with scholars based in India, Nepal and Italy. Frequent co-authors include Sanjay N. Talbar, Sunil K. Lal, Milan Surjit, Shahid Jameel, Manjari Mazumdar, Dinesh Gupta, Hasan Körkaya, Mohammad Zafrullah, Deepak Sehgal and Dinkar Sahal. Their work appears in journals such as Journal of Biological Chemistry, Biomedical Signal Processing and Control, Computers in Biology and Medicine, International Journal of Imaging Systems and Technology and Computerized Medical Imaging and Graphics.
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.