Sheeba K. Thomas
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 123
- Multiple Myeloma Research and Treatments 116
- Chronic Myeloid Leukemia Treatments 16
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- Protein Degradation and Inhibitors 36
- Ubiquitin and proteasome pathways 10
- Co-authors
- Robert Z. Orlowski (104 shared papers)Jatin J. Shah (61 shared papers)Donna M. Weber (81 shared papers)Michael Wang (38 shared papers)Raymond Alexanian (29 shared papers)Muzaffar H. Qazilbash (50 shared papers)Qaiser Bashir (43 shared papers)Veerabhadran Baladandayuthapani (8 shared papers)
- Journals
- Blood (72 papers)Journal of Clinical Oncology (15 papers)Biology of Blood and Marrow Transplantation (5 papers)Clinical Cancer Research (3 papers)Journal of Hematology & Oncology (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Sheeba K. Thomas
154 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 91
- Hematology 1.1k
- Genetics 356
- Oncology 758
- Pathology and Forensic Medicine 350
- Molecular Biology 973
Countries citing papers authored by Sheeba K. Thomas
This map shows the geographic impact of Sheeba K. Thomas'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 Sheeba K. Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheeba K. Thomas more than expected).
Fields of papers citing papers by Sheeba K. Thomas
This network shows the impact of papers produced by Sheeba K. Thomas. 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 Sheeba K. Thomas. The network helps show where Sheeba K. Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheeba K. Thomas, 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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 149 | |
| 2 | 2013 | 132 | |
| 3 | 2013 | 101 | |
| 4 | 2011 | 85 | |
| 5 | 2007 | 68 | |
| 6 | 2011 | 66 | |
| 7 | 2011 | 54 | |
| 8 | 2019 | 54 | |
| 9 | 2011 | 53 | |
| 10 | 2014 | 49 | |
| 11 | 2010 | 43 | |
| 12 | 2013 | 43 | |
| 13 | 2014 | 37 | |
| 14 | 2010 | 37 | |
| 15 | 2015 | 35 | |
| 16 | 2012 | 32 | |
| 17 | 2016 | 30 | |
| 18 | 2012 | 28 | |
| 19 | 2013 | 27 | |
| 20 | 2014 | 27 |
About Sheeba K. Thomas
Sheeba K. Thomas is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 164 papers that have together received 2.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (116 papers), Chronic Lymphocytic Leukemia Research (42 papers), Protein Degradation and Inhibitors (36 papers), Cancer Treatment and Pharmacology (20 papers), Lymphoma Diagnosis and Treatment (17 papers), Chronic Myeloid Leukemia Treatments (16 papers), Peptidase Inhibition and Analysis (12 papers) and Ubiquitin and proteasome pathways (10 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (356 citations), Oncology (758 citations), Pathology and Forensic Medicine (350 citations) and Molecular Biology (973 citations). Sheeba K. Thomas has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Robert Z. Orlowski, Jatin J. Shah, Donna M. Weber, Michael Wang, Raymond Alexanian, Muzaffar H. Qazilbash, Qaiser Bashir, Veerabhadran Baladandayuthapani, Elisabet E. Manasanch and Nina Shah. Their work appears in journals such as Blood, Journal of Clinical Oncology, Biology of Blood and Marrow Transplantation, Clinical Cancer Research and Journal of Hematology & Oncology.
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.