Arjun Law
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 5%
Papers in
- Hematology 97
- Hematopoietic Stem Cell Transplantation 75
- Acute Myeloid Leukemia Research 41
- Genetics 23
- Co-authors
- Jeffrey Howard Lipton (74 shared papers)Auro Viswabandya (91 shared papers)Rajat Kumar (85 shared papers)Fotios V. Michelis (88 shared papers)Wilson Lam (77 shared papers)Dennis Dong Hwan Kim (72 shared papers)Jonas Mattsson (80 shared papers)María Queralt Salas (25 shared papers)
In The Last Decade
Arjun Law
128 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Hematology 725
- Transplantation 68
- Oncology 391
- Genetics 157
- Immunology 268
Countries citing papers authored by Arjun Law
This map shows the geographic impact of Arjun Law'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 Arjun Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Law more than expected).
Fields of papers citing papers by Arjun Law
This network shows the impact of papers produced by Arjun Law. 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 Arjun Law. The network helps show where Arjun Law may publish in the future.
Co-authors
The 25 scholars most cited alongside Arjun Law, 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 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 156 | |
| 2 | 2018 | 74 | |
| 3 | 2019 | 51 | |
| 4 | 2020 | 46 | |
| 5 | 2019 | 37 | |
| 6 | 2017 | 31 | |
| 7 | 2021 | 29 | |
| 8 | 2015 | 29 | |
| 9 | 2020 | 27 | |
| 10 | 2019 | 25 | |
| 11 | 2020 | 25 | |
| 12 | 2019 | 25 | |
| 13 | 2014 | 22 | |
| 14 | 2019 | 22 | |
| 15 | 2017 | 21 | |
| 16 | 2020 | 20 | |
| 17 | 2021 | 20 | |
| 18 | 2019 | 20 | |
| 19 | 2014 | 19 | |
| 20 | 2020 | 18 |
About Arjun Law
Arjun Law is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Oncology and Transplantation, having authored 147 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (75 papers), Acute Myeloid Leukemia Research (41 papers), Acute Lymphoblastic Leukemia research (31 papers), Polyomavirus and related diseases (18 papers), Renal Transplantation Outcomes and Treatments (11 papers), Cytomegalovirus and herpesvirus research (9 papers), CAR-T cell therapy research (8 papers) and Childhood Cancer Survivors' Quality of Life (8 papers). The work is most often cited by research in Hematology (725 citations), Transplantation (68 citations), Oncology (391 citations), Genetics (157 citations) and Immunology (268 citations). Arjun Law has collaborated with scholars based in Canada, Sweden and India. Frequent co-authors include Jeffrey Howard Lipton, Auro Viswabandya, Rajat Kumar, Fotios V. Michelis, Wilson Lam, Dennis Dong Hwan Kim, Jonas Mattsson, María Queralt Salas, Armand Keating and Brent A. Williams. Their work appears in journals such as European Journal Of Haematology, Transplantation and Cellular Therapy, Bone Marrow Transplantation, Blood 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.