Mark A. Murakami
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Blood disorders and treatments
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Genetics 10
- Chronic Lymphocytic Leukemia Research 8
- Hematology 10
- Chronic Myeloid Leukemia Treatments 5
- Acute Myeloid Leukemia Research 4
- Co-authors
- David M. WeinstockDaniel C. LinkScott R. ManalisJun XiaMarlise R. LuskinDavid S. GrendaMary C. DinauerLaurence A. Boxer
- Journals
- Blood (14 papers)Journal of Clinical Oncology (2 papers)Nature Biotechnology (2 papers)Nature Biomedical Engineering (1 paper)HemaSphere (1 paper)
- Partner nations
- United StatesSouth AfricaJapan
In The Last Decade
Mark A. Murakami
28 papers receiving 903 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Hematology 230
- Genetics 117
- Cancer Research 160
- Immunology 174
- Genetics 221
Countries citing papers authored by Mark A. Murakami
This map shows the geographic impact of Mark A. Murakami'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 Mark A. Murakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Murakami more than expected).
Fields of papers citing papers by Mark A. Murakami
This network shows the impact of papers produced by Mark A. Murakami. 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 Mark A. Murakami. The network helps show where Mark A. Murakami may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark A. Murakami, 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 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 6 | |
| 11 | Distinction of lymphoid and myeloid clonal hematopoiesis Hit paper breakdown → | 2021 | 161 |
| 12 | 2021 | 8 | |
| 13 | 2021 | 1 | |
| 14 | 2018 | 97 | |
| 15 | 2016 | 8 | |
| 16 | 2016 | 74 | |
| 17 | 2016 | 170 | |
| 18 | 2015 | 8 | |
| 19 | 2009 | 111 | |
| 20 | [A remission case of Ph1 positive acute myeloid leukemia]. | 1982 | 2 |
About Mark A. Murakami
Mark A. Murakami is a scholar working on Genetics, Hematology, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 30 papers that have together received 909 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), CAR-T cell therapy research (7 papers), Acute Lymphoblastic Leukemia research (7 papers), Chronic Myeloid Leukemia Treatments (5 papers), Cancer Genomics and Diagnostics (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Hematology (230 citations), Genetics (117 citations), Cancer Research (160 citations), Immunology (174 citations) and Genetics (221 citations). Mark A. Murakami has collaborated with scholars based in United States, South Africa and Japan. Frequent co-authors include David M. Weinstock, Daniel C. Link, Scott R. Manalis, Jun Xia, Marlise R. Luskin, David S. Grenda, Mary C. Dinauer, Laurence A. Boxer, David C. Dale and Yuki Kikuchi. Their work appears in journals such as Blood, Journal of Clinical Oncology, Nature Biotechnology, Nature Biomedical Engineering and HemaSphere.
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.