Baskar Ramdas
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Immunology 21
- Mast cells and histamine 15
- Immune Cell Function and Interaction 4
- Hematology 18
- Acute Myeloid Leukemia Research 12
- Chronic Myeloid Leukemia Treatments 4
- Co-authors
- Reuben Kapur (33 shared papers)Raghuveer Singh Mali (16 shared papers)George E. Sandusky (5 shared papers)Jorge Henao‐Mejia (4 shared papers)Jonathan J. Kotzin (4 shared papers)Lakshmi Reddy Palam (4 shared papers)Adam Williams (4 shared papers)Ruchi Pandey (4 shared papers)
- Journals
- Blood (12 papers)Leukemia (4 papers)Experimental Hematology (2 papers)JCI Insight (2 papers)Cell Reports (2 papers)
- Partner nations
- United StatesCanadaPoland
In The Last Decade
Baskar Ramdas
32 papers receiving 745 citations
Peers
Comparison fields: 5 of 64
- Hematology 329
- Genetics 178
- Immunology 224
- Cancer Research 102
- Immunology and Allergy 32
Countries citing papers authored by Baskar Ramdas
This map shows the geographic impact of Baskar Ramdas'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 Baskar Ramdas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baskar Ramdas more than expected).
Fields of papers citing papers by Baskar Ramdas
This network shows the impact of papers produced by Baskar Ramdas. 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 Baskar Ramdas. The network helps show where Baskar Ramdas may publish in the future.
Co-authors
The 25 scholars most cited alongside Baskar Ramdas, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 264 | |
| 2 | 2011 | 79 | |
| 3 | 2012 | 46 | |
| 4 | 2014 | 45 | |
| 5 | 2013 | 38 | |
| 6 | 2012 | 37 | |
| 7 | 2010 | 27 | |
| 8 | 2011 | 24 | |
| 9 | 2020 | 24 | |
| 10 | 2018 | 18 | |
| 11 | 2011 | 18 | |
| 12 | 2017 | 17 | |
| 13 | 2014 | 16 | |
| 14 | 2017 | 14 | |
| 15 | 2008 | 13 | |
| 16 | 2012 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2012 | 9 | |
| 19 | 2008 | 9 | |
| 20 | 2021 | 7 |
About Baskar Ramdas
Baskar Ramdas is a scholar working on Immunology, Hematology, Molecular Biology, Genetics and Rheumatology, having authored 33 papers that have together received 752 indexed citations. Recurring topics across this work include Mast cells and histamine (15 papers), Acute Myeloid Leukemia Research (12 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Immune Cell Function and Interaction (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Eosinophilic Disorders and Syndromes (4 papers), Click Chemistry and Applications (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (329 citations), Genetics (178 citations), Immunology (224 citations), Cancer Research (102 citations) and Immunology and Allergy (32 citations). Baskar Ramdas has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Reuben Kapur, Raghuveer Singh Mali, George E. Sandusky, Jorge Henao‐Mejia, Jonathan J. Kotzin, Lakshmi Reddy Palam, Adam Williams, Ruchi Pandey, Mark R. Kelley and Yan Liu. Their work appears in journals such as Blood, Leukemia, Experimental Hematology, JCI Insight and Cell Reports.
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.