K. B. Udupa
Impact in
- Hematology top 5%
- Erythropoietin and Anemia Treatment
- Hematopoietic Stem Cell Transplantation
- Iron Metabolism and Disorders
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Mesenchymal stem cell research
Papers in
- Hematology 16
- Hematopoietic Stem Cell Transplantation 10
- Erythropoietin and Anemia Treatment 4
- Acute Myeloid Leukemia Research 3
- Genetics 8
- Hemoglobinopathies and Related Disorders 5
- Mesenchymal stem cell research 3
- Co-authors
- David A. LipschitzKurt R. ReißmannChhanda BoseParimal ChowdhuryLyda WilliamsP ChowdhuryHailing ZhangC. Bhuvaneswaran
- Journals
- British Journal of Haematology (4 papers)Experimental Biology and Medicine (3 papers)Journal of Cellular Physiology (2 papers)Tobacco Induced Diseases (2 papers)The Journals of Gerontology Series A (2 papers)
- Partner nations
- United StatesIndia
In The Last Decade
K. B. Udupa
38 papers receiving 650 citations
Peers
Comparison fields: 5 of 94
- Hematology 227
- Genetics 134
- Aging 15
- Immunology 153
- Physiology 184
Countries citing papers authored by K. B. Udupa
This map shows the geographic impact of K. B. Udupa'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 K. B. Udupa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. B. Udupa more than expected).
Fields of papers citing papers by K. B. Udupa
This network shows the impact of papers produced by K. B. Udupa. 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 K. B. Udupa. The network helps show where K. B. Udupa may publish in the future.
Co-authors
The 24 scholars most cited alongside K. B. Udupa, 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 | 16 | |
| 2 | 2008 | 4 | |
| 3 | 2008 | 14 | |
| 4 | 2007 | 31 | |
| 5 | 2005 | 19 | |
| 6 | 2005 | 37 | |
| 7 | 2004 | 8 | |
| 8 | 1998 | 36 | |
| 9 | 1996 | 8 | |
| 10 | 1996 | 22 | |
| 11 | 1996 | 7 | |
| 12 | 1995 | 91 | |
| 13 | 1995 | 31 | |
| 14 | 1994 | 8 | |
| 15 | 1990 | 17 | |
| 16 | 1989 | 3 | |
| 17 | 1988 | 5 | |
| 18 | Cell kinetics of erythroid colony-forming cells (CFU-E) studied by hydroxyurea injections and sedimentation velocity profile. | 1978 | 5 |
| 19 | 1971 | 3 | |
| 20 | 1968 | 6 |
About K. B. Udupa
K. B. Udupa is a scholar working on Hematology, Genetics, Physiology, Immunology and Physiology, having authored 39 papers that have together received 694 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (11 papers), Hematopoietic Stem Cell Transplantation (10 papers), Immune Response and Inflammation (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Erythropoietin and Anemia Treatment (4 papers), Mesenchymal stem cell research (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (227 citations), Genetics (134 citations), Aging (15 citations), Immunology (153 citations) and Physiology (184 citations). K. B. Udupa has collaborated with scholars based in United States and India. Frequent co-authors include David A. Lipschitz, Kurt R. Reißmann, Chhanda Bose, Parimal Chowdhury, Lyda Williams, P Chowdhury, Hailing Zhang, C. Bhuvaneswaran, Haiyin Xiao and Ritchie J. Feuers. Their work appears in journals such as British Journal of Haematology, Experimental Biology and Medicine, Journal of Cellular Physiology, Tobacco Induced Diseases and The Journals of Gerontology Series A.
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.