Shruti Daga
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
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- Acute Myeloid Leukemia Research
Papers in
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- Acute Myeloid Leukemia Research 4
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- Cancer Genomics and Diagnostics 2
- Co-authors
- David E. Newby (6 shared papers)Nicholas L. Mills (3 shared papers)Brian Waterhouse (3 shared papers)Andrew W. Stoker (1 shared paper)Sowmya Venkatasubramanian (3 shared papers)Jeremy P. Langrish (3 shared papers)Ninian N. Lang (3 shared papers)Ethan Hoffmann (3 shared papers)
- Journals
- American Journal of Hematology (2 papers)Journal of the American Heart Association (2 papers)Open Heart (2 papers)Annals of the Rheumatic Diseases (2 papers)Microbes and Infection (1 paper)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Shruti Daga
15 papers receiving 300 citations
Peers
Comparison fields: 5 of 55
- Geriatrics and Gerontology 89
- Hematology 55
- Aging 7
- Physiology 16
- Physiology 60
Countries citing papers authored by Shruti Daga
This map shows the geographic impact of Shruti Daga'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 Shruti Daga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shruti Daga more than expected).
Fields of papers citing papers by Shruti Daga
This network shows the impact of papers produced by Shruti Daga. 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 Shruti Daga. The network helps show where Shruti Daga may publish in the future.
Co-authors
The 25 scholars most cited alongside Shruti Daga, 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 | 2013 | 79 | |
| 2 | 2012 | 33 | |
| 3 | 2009 | 31 | |
| 4 | 2016 | 29 | |
| 5 | 2019 | 27 | |
| 6 | 2017 | 22 | |
| 7 | 2018 | 20 | |
| 8 | 2017 | 17 | |
| 9 | 2020 | 11 | |
| 10 | 2010 | 10 | |
| 11 | 2017 | 8 | |
| 12 | 2024 | 5 | |
| 13 | 2021 | 5 | |
| 14 | GPIb VNTR C/C genotype may predict embolic events in infective endocarditis. | 2013 | 2 |
| 15 | 2017 | 2 | |
| 16 | 2025 | 0 |
About Shruti Daga
Shruti Daga is a scholar working on Hematology, Cancer Research, Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 301 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Cancer Genomics and Diagnostics (2 papers), Protein Degradation and Inhibitors (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Cardiovascular Health and Disease Prevention (1 paper), Streptococcal Infections and Treatments (1 paper) and Infective Endocarditis Diagnosis and Management (1 paper). The work is most often cited by research in Geriatrics and Gerontology (89 citations), Hematology (55 citations), Aging (7 citations), Physiology (16 citations) and Physiology (60 citations). Shruti Daga has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include David E. Newby, Nicholas L. Mills, Brian Waterhouse, Andrew W. Stoker, Sowmya Venkatasubramanian, Jeremy P. Langrish, Ninian N. Lang, Ethan Hoffmann, Owen Clark and Eric Jacobson. Their work appears in journals such as American Journal of Hematology, Journal of the American Heart Association, Open Heart, Annals of the Rheumatic Diseases and Microbes and Infection.
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.