Benjamin Mow
Impact in
- Oncology top 5%
- Viral-associated cancers and disorders
- Cancer-related Molecular Pathways
-
- Lymphoma Diagnosis and Treatment
Papers in ⓘ
- Oncology 8
- Lung Cancer Research Studies 3
- Cancer-related Molecular Pathways 3
-
- Acute Myeloid Leukemia Research 2
- Co-authors
- Yudi Pawitan (2 shared papers)Per Hall (2 shared papers)Thomas Choudary Putti (2 shared papers)Thomas Lindahl (1 shared paper)Johanna Smeds (1 shared paper)Anna V. Ivshina (1 shared paper)Jonas Bergh (1 shared paper)O. V. Sen’ko (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Blood (2 papers)Cancer Causes & Control (1 paper)The Astronomical Journal (1 paper)Mayo Clinic Proceedings (1 paper)
- Partner nations
- SingaporeUnited StatesAustralia
In The Last Decade
Benjamin Mow
17 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Oncology 673
- Pathology and Forensic Medicine 368
- Cancer Research 272
- Hematology 168
- Immunology 302
Countries citing papers authored by Benjamin Mow
This map shows the geographic impact of Benjamin Mow'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 Benjamin Mow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Mow more than expected).
Fields of papers citing papers by Benjamin Mow
This network shows the impact of papers produced by Benjamin Mow. 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 Benjamin Mow. The network helps show where Benjamin Mow may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Mow, 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 | Genetic Reclassification of Histologic Grade Delineates New Clinical Subtypes of Breast Cancer Hit paper breakdown → | 2006 | 543 |
| 2 | PD1 blockade with pembrolizumab is highly effective in relapsed or refractory NK/T-cell lymphoma failing l-asparaginase Hit paper breakdown → | 2017 | 359 |
| 3 | 2004 | 101 | |
| 4 | 2002 | 94 | |
| 5 | 2001 | 78 | |
| 6 | 2009 | 62 | |
| 7 | Patterns of psoriatic arthritis in Orientals. | 1997 | 39 |
| 8 | 2005 | 30 | |
| 9 | 2006 | 21 | |
| 10 | 2017 | 17 | |
| 11 | 2012 | 15 | |
| 12 | 2007 | 10 | |
| 13 | 1999 | 10 | |
| 14 | 2016 | 9 | |
| 15 | 2005 | 4 | |
| 16 | Pharmacodynamic effects of seliciclib (R-roscovitine, CYC202) in patients with undifferentiated nasopharyngeal carcinoma (NPC) using a window trial design. | 2005 | 2 |
| 17 | 2004 | 1 |
About Benjamin Mow
Benjamin Mow is a scholar working on Oncology, Hematology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (3 papers), Lung Cancer Research Studies (3 papers), Cancer-related Molecular Pathways (3 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Advanced Breast Cancer Therapies (2 papers) and Neuroblastoma Research and Treatments (1 paper). The work is most often cited by research in Oncology (673 citations), Pathology and Forensic Medicine (368 citations), Cancer Research (272 citations), Hematology (168 citations) and Immunology (302 citations). Benjamin Mow has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Yudi Pawitan, Per Hall, Thomas Choudary Putti, Thomas Lindahl, Johanna Smeds, Anna V. Ivshina, Jonas Bergh, O. V. Sen’ko, Vladimir A. Kuznetsov and Lance D. Miller. Their work appears in journals such as Clinical Cancer Research, Blood, Cancer Causes & Control, The Astronomical Journal and Mayo Clinic Proceedings.
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.