Chandrasekhar Udata
- Hematology top 5%
- Hemophilia Treatment and Research 5
- Oncology top 10%
- Drug Transport and Resistance Mechanisms 4
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 3
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- Monoclonal and Polyclonal Antibodies Research 7
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- Biosimilars and Bioanalytical Methods 7
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- Pharmaceutical studies and practices 6
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- Amyloidosis: Diagnosis, Treatment, Outcomes 4
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- Neuroendocrine Tumor Research Advances 3
- Co-authors
- Meng XuArie KatzO. VesterqvistMichael E. BurczynskiLisa HickeyElyssa OttDavid A. RothJohn F. DiJoseph
- Cited by
- HematologyOncologyGenetics
- Journals
- Blood (7 papers)Gastroenterology (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
Chandrasekhar Udata
35 papers receiving 870 citations
Peers
Comparison fields: 5 of 73
- Hematology 260
- Oncology 333
- Genetics 99
- Radiology, Nuclear Medicine and Imaging 171
- Immunology 136
Countries citing papers authored by Chandrasekhar Udata
This map shows the geographic impact of Chandrasekhar Udata'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 Chandrasekhar Udata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandrasekhar Udata more than expected).
Fields of papers citing papers by Chandrasekhar Udata
This network shows the impact of papers produced by Chandrasekhar Udata. 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 Chandrasekhar Udata. The network helps show where Chandrasekhar Udata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chandrasekhar Udata, 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 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2020 | 10 | |
| 4 | 2020 | 0 | |
| 5 | 2019 | 27 | |
| 6 | 2018 | 13 | |
| 7 | 2018 | 23 | |
| 8 | 2017 | 10 | |
| 9 | 2015 | 3 | |
| 10 | 2013 | 4 | |
| 11 | 2010 | 21 | |
| 12 | 2009 | 67 | |
| 13 | 2009 | 151 | |
| 14 | 2007 | 39 | |
| 15 | 2007 | 76 | |
| 16 | 2006 | 3 | |
| 17 | 2002 | 28 | |
| 18 | 2000 | 19 | |
| 19 | 2000 | 11 | |
| 20 | 1999 | 18 |
About Chandrasekhar Udata
Chandrasekhar Udata is a scholar working on Hematology, Immunology and Genetics, having authored 36 papers that have together received 895 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Pharmaceutical studies and practices (6 papers), Hemophilia Treatment and Research (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Neuroendocrine Tumor Research Advances (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (260 citations), Oncology (333 citations) and Genetics (99 citations). Chandrasekhar Udata has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Meng Xu, Arie Katz, O. Vesterqvist, Michael E. Burczynski, Lisa Hickey, Elyssa Ott, David A. Roth, John F. DiJoseph, Michael Recht and Nitin K. Damle. Their work appears in journals such as Blood, Gastroenterology and Journal of the American College of Cardiology.
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.