Vikram Mathews
- Hematology top 0.2%
- Acute Myeloid Leukemia Research 82
- Hematopoietic Stem Cell Transplantation 81
- Chronic Myeloid Leukemia Treatments 33
- Genetics top 1%
- Hemoglobinopathies and Related Disorders 32
- Myeloproliferative Neoplasms: Diagnosis and Treatment 22
- Biochemistry top 2%
- Transplantation top 5%
- Oncology top 5%
- Polyomavirus and related diseases 24
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- Acute Lymphoblastic Leukemia research 46
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- Retinoids in leukemia and cellular processes 40
- Co-authors
- Biju GeorgeAlok SrivastavaMammen ChandyAuro ViswabandyaPoonkuzhali BalasubramanianShaji R VelayudhanKavitha M. LakshmiAby Abraham
- Cited by
- HematologyGeneticsBiochemistry
- Journals
- Blood (76 papers)Biology of Blood and Marrow Transplantation (22 papers)Bone Marrow Transplantation (15 papers)
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Vikram Mathews
264 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 108
- Hematology 2.6k
- Genetics 877
- Biochemistry 262
- Transplantation 90
- Oncology 678
Countries citing papers authored by Vikram Mathews
This map shows the geographic impact of Vikram Mathews'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 Vikram Mathews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Mathews more than expected).
Fields of papers citing papers by Vikram Mathews
This network shows the impact of papers produced by Vikram Mathews. 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 Vikram Mathews. The network helps show where Vikram Mathews may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vikram Mathews, 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 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 20 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 21 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 2 | |
| 16 | 2019 | 6 | |
| 17 | 2018 | 9 | |
| 18 | 2018 | 2 | |
| 19 | 2017 | 61 | |
| 20 | 2015 | 1 |
About Vikram Mathews
Vikram Mathews is a scholar working on Hematology, Genetics and Transplantation, having authored 293 papers that have together received 4.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (82 papers), Hematopoietic Stem Cell Transplantation (81 papers), Acute Lymphoblastic Leukemia research (46 papers), Retinoids in leukemia and cellular processes (40 papers), Chronic Myeloid Leukemia Treatments (33 papers), Hemoglobinopathies and Related Disorders (32 papers), Polyomavirus and related diseases (24 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (22 papers). The work is most often cited by research in Hematology (2.6k citations), Genetics (877 citations) and Biochemistry (262 citations). Vikram Mathews has collaborated with scholars based in India, United States and France. Frequent co-authors include Biju George, Alok Srivastava, Mammen Chandy, Auro Viswabandya, Poonkuzhali Balasubramanian, Shaji R Velayudhan, Kavitha M. Lakshmi, Aby Abraham, Anu Korula and Vivi M. Srivastava. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, Haemophilia and British 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.