Sunita Badola
- Hematology top 5%
- Platelet Disorders and Treatments 1
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research 2
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- Growth Hormone and Insulin-like Growth Factors 3
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- Genetic and phenotypic traits in livestock 2
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- Livestock Farming and Management 1
- Livestock Management and Performance Improvement 1
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- Extracellular vesicles in disease 1
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- Calpain Protease Function and Regulation 1
- Co-authors
- Paul M. RidkerJoseph P. MiletichNader RifaiRobert Y.L. ZeeGuillaume ParéMark D. KelloggDaniel I. ChasmanIan McCaffery
- Cited by
- HematologyOncologyCancer Research
- Journals
- Journal of Clinical Oncology (2 papers)The Journal of Immunology (1 paper)Cancer Research (2 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Sunita Badola
16 papers receiving 711 citations
Peers
Comparison fields: 5 of 76
- Hematology 152
- Oncology 233
- Cancer Research 103
- Immunology 135
- Endocrinology, Diabetes and Metabolism 83
Countries citing papers authored by Sunita Badola
This map shows the geographic impact of Sunita Badola'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 Sunita Badola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunita Badola more than expected).
Fields of papers citing papers by Sunita Badola
This network shows the impact of papers produced by Sunita Badola. 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 Sunita Badola. The network helps show where Sunita Badola may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sunita Badola, 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 | 2018 | 2 | |
| 2 | 2017 | 1 | |
| 3 | 2013 | 54 | |
| 4 | 2012 | 160 | |
| 5 | 2011 | 6 | |
| 6 | 2009 | 1 | |
| 7 | 2008 | 236 | |
| 8 | 2007 | 58 | |
| 9 | Peripheral blood expression of nuclear factor-kappab-regulated genes is associated with rheumatoid arthritis disease activity and responds differentially to anti-tumor necrosis factor-alpha versus methotrexate. | 2007 | 19 |
| 10 | 2006 | 117 | |
| 11 | 2006 | 17 | |
| 12 | 2004 | 13 | |
| 13 | 2003 | 33 | |
| 14 | 2003 | 8 | |
| 15 | Dairy performance of Tharparkar, Holstein Friesian and their crosses | 2002 | 3 |
| 16 | PCR-RSP study of IL-2 gene in cattle and buffalo. | 2002 | 1 |
About Sunita Badola
Sunita Badola is a scholar working on Cancer Research, Agronomy and Crop Science and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 729 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (3 papers), Genetic and phenotypic traits in livestock (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Livestock Farming and Management (1 paper), Extracellular vesicles in disease (1 paper), Calpain Protease Function and Regulation (1 paper), Platelet Disorders and Treatments (1 paper) and Livestock Management and Performance Improvement (1 paper). The work is most often cited by research in Hematology (152 citations), Oncology (233 citations) and Cancer Research (103 citations). Sunita Badola has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Paul M. Ridker, Joseph P. Miletich, Nader Rifai, Robert Y.L. Zee, Guillaume Paré, Mark D. Kellogg, Daniel I. Chasman, Ian McCaffery, Hongjie Deng and Eric R. Fedyk. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology and Cancer Research.
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.