David Jayabalan
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
Papers in
- Hematology 56
- Multiple Myeloma Research and Treatments 56
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- Protein Degradation and Inhibitors 25
- Cancer therapeutics and mechanisms 8
- Ubiquitin and proteasome pathways 6
- Co-authors
- Rubén Niesvizky (65 shared papers)Roger Pearse (46 shared papers)Morton Coleman (42 shared papers)Selina Chen‐Kiang (34 shared papers)Tomer M. Mark (36 shared papers)Scott Ely (36 shared papers)Faiza Zafar (20 shared papers)Paul J. Christos (10 shared papers)
- Journals
- Blood (35 papers)Journal of Clinical Oncology (8 papers)Clinical Cancer Research (3 papers)Biology of Blood and Marrow Transplantation (3 papers)American Journal of Hematology (3 papers)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
David Jayabalan
69 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 71
- Hematology 538
- Oncology 348
- Molecular Biology 511
- Immunology 147
- Genetics 68
Countries citing papers authored by David Jayabalan
This map shows the geographic impact of David Jayabalan'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 David Jayabalan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Jayabalan more than expected).
Fields of papers citing papers by David Jayabalan
This network shows the impact of papers produced by David Jayabalan. 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 David Jayabalan. The network helps show where David Jayabalan may publish in the future.
Co-authors
The 25 scholars most cited alongside David Jayabalan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 173 | |
| 2 | 2008 | 80 | |
| 3 | 2011 | 79 | |
| 4 | 2012 | 76 | |
| 5 | 2007 | 73 | |
| 6 | 2007 | 41 | |
| 7 | 2010 | 38 | |
| 8 | 2008 | 34 | |
| 9 | 2011 | 32 | |
| 10 | Cellular immune responses against CT7 (MAGE-C1) and humoral responses against other cancer-testis antigens in multiple myeloma patients. | 2010 | 30 |
| 11 | 2009 | 29 | |
| 12 | 2013 | 26 | |
| 13 | 2013 | 23 | |
| 14 | 2008 | 21 | |
| 15 | 2013 | 20 | |
| 16 | 2023 | 18 | |
| 17 | 2012 | 14 | |
| 18 | 2005 | 14 | |
| 19 | 2013 | 10 | |
| 20 | 2019 | 10 |
About David Jayabalan
David Jayabalan is a scholar working on Hematology, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Genetics, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (56 papers), Protein Degradation and Inhibitors (25 papers), Cancer Treatment and Pharmacology (16 papers), Cancer therapeutics and mechanisms (8 papers), Peptidase Inhibition and Analysis (7 papers), Ubiquitin and proteasome pathways (6 papers), Microtubule and mitosis dynamics (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Hematology (538 citations), Oncology (348 citations), Molecular Biology (511 citations), Immunology (147 citations) and Genetics (68 citations). David Jayabalan has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Rubén Niesvizky, Roger Pearse, Morton Coleman, Selina Chen‐Kiang, Tomer M. Mark, Scott Ely, Faiza Zafar, Paul J. Christos, John P. Leonard and Karen Pekle. Their work appears in journals such as Blood, Journal of Clinical Oncology, Clinical Cancer Research, Biology of Blood and Marrow Transplantation and American Journal of Hematology.
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.