T Rajkumar
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
- Surgery 3
- Pancreatic function and diabetes 2
- Vascular anomalies and interventions 1
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- Receptor Mechanisms and Signaling 1
- Co-authors
- William J. Rutter (3 shared papers)Edward E. Penhoet (2 shared papers)Michał Andrzej Kochman (1 shared paper)R. C. Valentine (1 shared paper)C.Y. Lai (1 shared paper)B.L. Horecker (1 shared paper)K. Nirmala (1 shared paper)
- Journals
- Annals of the New York Academy of Sciences (1 paper)Biochemical and Biophysical Research Communications (1 paper)Proceedings of the National Academy of Sciences (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)PubMed (2 papers)
- Partner nations
- IndiaUnited StatesTanzania
In The Last Decade
T Rajkumar
6 papers receiving 327 citations
Peers
Comparison fields: 5 of 61
- Biochemistry 58
- Clinical Biochemistry 44
- Cancer Research 86
- Cell Biology 89
- Endocrinology, Diabetes and Metabolism 59
Countries citing papers authored by T Rajkumar
This map shows the geographic impact of T Rajkumar'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 T Rajkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Rajkumar more than expected).
Fields of papers citing papers by T Rajkumar
This network shows the impact of papers produced by T Rajkumar. 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 T Rajkumar. The network helps show where T Rajkumar may publish in the future.
Co-authors
The 7 scholars most cited alongside T Rajkumar, 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 | 1966 | 227 | |
| 2 | 1968 | 86 | |
| 3 | Aldolase B from (adult) rabbit liver | 1966 | 34 |
| 4 | 1965 | 11 | |
| 5 | Does TAL-1 deletion contribute to the high incidence of T-cell acute lymphoblastic leukemia in South Indian patients? | 2009 | 4 |
| 6 | Variant of mitochondrial ribosomal protein s28 (mrps28) gene is differentially expressed in response to radiation in a cervical carcinoma derived cell line. | 2005 | 2 |
| 7 | 2024 | 0 |
About T Rajkumar
T Rajkumar is a scholar working on Surgery, Molecular Biology, Neurology, Pulmonary and Respiratory Medicine and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 364 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Vascular anomalies and interventions (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Microbial Metabolites in Food Biotechnology (1 paper), Vascular Procedures and Complications (1 paper), Receptor Mechanisms and Signaling (1 paper), Plant and fungal interactions (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Biochemistry (58 citations), Clinical Biochemistry (44 citations), Cancer Research (86 citations), Cell Biology (89 citations) and Endocrinology, Diabetes and Metabolism (59 citations). T Rajkumar has collaborated with scholars based in India, United States and Tanzania. Frequent co-authors include William J. Rutter, Edward E. Penhoet, Michał Andrzej Kochman, R. C. Valentine, C.Y. Lai, B.L. Horecker and K. Nirmala. Their work appears in journals such as Annals of the New York Academy of Sciences, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences, Methods in enzymology on CD-ROM/Methods in enzymology and PubMed.
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.