Sunil K. Noothi
Impact in
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
- Immune Response and Inflammation
Papers in
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- Cell death mechanisms and regulation 2
- DNA and Nucleic Acid Chemistry 2
- DNA Repair Mechanisms 1
- Ubiquitin and proteasome pathways 1
- Genetics 4
- Chronic Lymphocytic Leukemia Research 4
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Prabhakara R. Nagareddy (4 shared papers)Baskaran Athmanathan (3 shared papers)Maria B. Grant (3 shared papers)Gopalkrishna Sreejit (2 shared papers)Andrew Murphy (2 shared papers)Ahmed Abdel‐Latif (2 shared papers)Kate Schroder (1 shared paper)Dragana Dragoljevic (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)PLoS ONE (1 paper)Blood (1 paper)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Sunil K. Noothi
14 papers receiving 564 citations
Sunil K. Noothi's Hit Papers
Peers
Comparison fields: 5 of 78
- Immunology 150
- Cancer Research 67
- Molecular Biology 276
- Cardiology and Cardiovascular Medicine 79
- Ophthalmology 27
Countries citing papers authored by Sunil K. Noothi
This map shows the geographic impact of Sunil K. Noothi'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 Sunil K. Noothi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil K. Noothi more than expected).
Fields of papers citing papers by Sunil K. Noothi
This network shows the impact of papers produced by Sunil K. Noothi. 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 Sunil K. Noothi. The network helps show where Sunil K. Noothi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunil K. Noothi, 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 | Neutrophil-Derived S100A8/A9 Amplify Granulopoiesis After Myocardial Infarction Hit paper breakdown → | 2020 | 222 |
| 2 | 2019 | 72 | |
| 3 | 2015 | 51 | |
| 4 | 2017 | 47 | |
| 5 | 2018 | 43 | |
| 6 | 2020 | 37 | |
| 7 | 2013 | 24 | |
| 8 | 2023 | 23 | |
| 9 | 2017 | 20 | |
| 10 | 2008 | 9 | |
| 11 | 2018 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2009 | 5 | |
| 14 | 2017 | 1 | |
| 15 | 2009 | 0 | |
| 16 | 2022 | 0 |
About Sunil K. Noothi
Sunil K. Noothi is a scholar working on Molecular Biology, Genetics, Immunology, Surgery and Oncology, having authored 16 papers that have together received 567 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Cell death mechanisms and regulation (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Multiple Myeloma Research and Treatments (2 papers), Bacterial Genetics and Biotechnology (2 papers), DNA Repair Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper) and Coronary Interventions and Diagnostics (1 paper). The work is most often cited by research in Immunology (150 citations), Cancer Research (67 citations), Molecular Biology (276 citations), Cardiology and Cardiovascular Medicine (79 citations) and Ophthalmology (27 citations). Sunil K. Noothi has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Prabhakara R. Nagareddy, Baskaran Athmanathan, Maria B. Grant, Gopalkrishna Sreejit, Andrew Murphy, Ahmed Abdel‐Latif, Kate Schroder, Dragana Dragoljevic, Rahul Annabathula and A. Dhyani. Their work appears in journals such as The Journal of Immunology, Nature Communications, Cell Reports, PLoS ONE and Blood.
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.