Karthik Ramasamy
- Hematology top 1%
- Multiple Myeloma Research and Treatments 123
- Oncology top 5%
- Peptidase Inhibition and Analysis 31
- Cancer Treatment and Pharmacology 25
- Bone health and treatments 7
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Molecular Biology top 10%
- Protein Degradation and Inhibitors 60
- Amyloidosis: Diagnosis, Treatment, Outcomes 14
- Ubiquitin and proteasome pathways 8
- Co-authors
- Stephen ScheyMaría‐Victoria MateosRoss SadlerSarah GoodingKatja WeiselMalini BholeAnkur JainNizar J. Bahlis
- Cited by
- HematologyOncologyGenetics
- Journals
- Blood (36 papers)British Journal of Haematology (12 papers)Journal of Clinical Oncology (9 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Karthik Ramasamy
126 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Hematology 918
- Oncology 614
- Genetics 147
- Molecular Biology 788
- Pathology and Forensic Medicine 97
Countries citing papers authored by Karthik Ramasamy
This map shows the geographic impact of Karthik Ramasamy'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 Karthik Ramasamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karthik Ramasamy more than expected).
Fields of papers citing papers by Karthik Ramasamy
This network shows the impact of papers produced by Karthik Ramasamy. 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 Karthik Ramasamy. The network helps show where Karthik Ramasamy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karthik Ramasamy, 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 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 2 | |
| 9 | Monitoring, prophylaxis, and treatment of infections in patients with MM receiving bispecific antibody therapy: consensus recommendations from an expert panelbreakdown → | 2023 | 77 |
| 10 | 2023 | 0 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 13 | |
| 15 | 2021 | 14 | |
| 16 | 2020 | 10 | |
| 17 | 2019 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2018 | 26 | |
| 20 | 2014 | 5 |
About Karthik Ramasamy
Karthik Ramasamy is a scholar working on Hematology, Oncology and Genetics, having authored 142 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (123 papers), Protein Degradation and Inhibitors (60 papers), Peptidase Inhibition and Analysis (31 papers), Cancer Treatment and Pharmacology (25 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (14 papers), Ubiquitin and proteasome pathways (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers) and Bone health and treatments (7 papers). The work is most often cited by research in Hematology (918 citations), Oncology (614 citations) and Genetics (147 citations). Karthik Ramasamy has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Stephen Schey, María‐Victoria Mateos, Ross Sadler, Sarah Gooding, Katja Weisel, Malini Bhole, Ankur Jain, Nizar J. Bahlis, Francesca Gay and Jaimal Kothari. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, HemaSphere and European Journal Of Haematology.
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.