Shaji Kumar
- Hematology top 0.01%
- Multiple Myeloma Research and Treatments 751
- Genetics top 0.05%
- Chronic Lymphocytic Leukemia Research 92
- Myeloproliferative Neoplasms: Diagnosis and Treatment 67
- Oncology top 0.05%
- Peptidase Inhibition and Analysis 147
- Cancer Treatment and Pharmacology 139
- Molecular Biology top 0.05%
- Protein Degradation and Inhibitors 288
- Amyloidosis: Diagnosis, Treatment, Outcomes 199
- Ubiquitin and proteasome pathways 51
- Nephrology top 0.2%
- Co-authors
- S. Vincent RajkumarAngela DispenzieriMorie A. GertzRobert A. KyleMartha Q. LacySuzanne R. HaymanFrancis K. BuadiDavid Dingli
- Cited by
- HematologyGeneticsOncology
- Partner nations
- United StatesFranceSpain
In The Last Decade
Shaji Kumar
959 papers receiving 34.4k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Hematology 23.4k
- Genetics 5.7k
- Oncology 14.0k
- Molecular Biology 22.8k
- Nephrology 1.6k
Countries citing papers authored by Shaji Kumar
This map shows the geographic impact of Shaji Kumar'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 Shaji Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaji Kumar more than expected).
Fields of papers citing papers by Shaji Kumar
This network shows the impact of papers produced by Shaji Kumar. 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 Shaji Kumar. The network helps show where Shaji Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shaji Kumar, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 22 | |
| 8 | 2020 | 1 | |
| 9 | 2018 | 12 | |
| 10 | 2015 | 22 | |
| 11 | 2013 | 127 | |
| 12 | 2013 | 120 | |
| 13 | Clonal competition with alternating dominance in multiple myelomabreakdown → | 2012 | 456 |
| 14 | 2011 | 29 | |
| 15 | 2010 | 121 | |
| 16 | 2009 | 87 | |
| 17 | Monoclonal gammopathy of undetermined significance (MGUS) consistently precedes multiple myeloma: a prospective studybreakdown → | 2009 | 743 |
| 18 | 2009 | 226 | |
| 19 | 2007 | 285 | |
| 20 | 2007 | 195 |
About Shaji Kumar
Shaji Kumar is a scholar working on Hematology, Genetics and Oncology, having authored 1.0k papers that have together received 35.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (751 papers), Protein Degradation and Inhibitors (288 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (199 papers), Peptidase Inhibition and Analysis (147 papers), Cancer Treatment and Pharmacology (139 papers), Chronic Lymphocytic Leukemia Research (92 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (67 papers) and Ubiquitin and proteasome pathways (51 papers). The work is most often cited by research in Hematology (23.4k citations), Genetics (5.7k citations) and Oncology (14.0k citations). Shaji Kumar has collaborated with scholars based in United States, France and Spain. Frequent co-authors include S. Vincent Rajkumar, Angela Dispenzieri, Morie A. Gertz, Robert A. Kyle, Martha Q. Lacy, Suzanne R. Hayman, Francis K. Buadi, David Dingli, John A. Lust and Philip R. Greipp. Their work appears in journals such as Blood, Journal of Clinical Oncology, Leukemia, Blood Cancer Journal 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.