Abhinav Deol
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
- Oncology top 5%
- CAR-T cell therapy research
Papers in
- Hematology 65
- Hematopoietic Stem Cell Transplantation 37
- Multiple Myeloma Research and Treatments 23
- Acute Myeloid Leukemia Research 23
- Oncology 68
- CAR-T cell therapy research 46
- Co-authors
- Lawrence G. LumJoseph P. UbertiLois AyashVoravit RatanatharathornMuneer H. AbidiZaid Al‐KadhimiArchana ThakurDipenkumar Modi
- Journals
- Blood (31 papers)Journal of Clinical Oncology (16 papers)Biology of Blood and Marrow Transplantation (14 papers)Bone Marrow Transplantation (8 papers)American Journal of Hematology (4 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Abhinav Deol
104 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 55
- Hematology 631
- Oncology 582
- Transplantation 46
- Immunology 281
- Genetics 116
Countries citing papers authored by Abhinav Deol
This map shows the geographic impact of Abhinav Deol'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 Abhinav Deol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Deol more than expected).
Fields of papers citing papers by Abhinav Deol
This network shows the impact of papers produced by Abhinav Deol. 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 Abhinav Deol. The network helps show where Abhinav Deol may publish in the future.
Co-authors
The 25 scholars most cited alongside Abhinav Deol, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 21 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 100 | |
| 11 | 2019 | 5 | |
| 12 | 2018 | 51 | |
| 13 | 2014 | 38 | |
| 14 | 2014 | 12 | |
| 15 | 2013 | 32 | |
| 16 | 2013 | 20 | |
| 17 | 2012 | 17 | |
| 18 | 2012 | 12 | |
| 19 | 2012 | 16 | |
| 20 | 2010 | 96 |
About Abhinav Deol
Abhinav Deol is a scholar working on Hematology, Oncology, Transplantation, Immunology and Genetics, having authored 114 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (46 papers), Hematopoietic Stem Cell Transplantation (37 papers), Multiple Myeloma Research and Treatments (23 papers), Acute Myeloid Leukemia Research (23 papers), Acute Lymphoblastic Leukemia research (14 papers), Protein Degradation and Inhibitors (11 papers), Biosimilars and Bioanalytical Methods (11 papers) and Lymphoma Diagnosis and Treatment (11 papers). The work is most often cited by research in Hematology (631 citations), Oncology (582 citations), Transplantation (46 citations), Immunology (281 citations) and Genetics (116 citations). Abhinav Deol has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Lawrence G. Lum, Joseph P. Uberti, Lois Ayash, Voravit Ratanatharathorn, Muneer H. Abidi, Zaid Al‐Kadhimi, Archana Thakur, Dipenkumar Modi, Seongho Kim and Hugo F. Fernández. Their work appears in journals such as Blood, Journal of Clinical Oncology, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation 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.