Tommy Fu
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Co-authors
- Sevgi Kalayoğlu Beşışık (8 shared papers)André Goy (8 shared papers)Radhakrishnan Ramchandren (8 shared papers)Johannes Drach (8 shared papers)Thomas E. Witzig (8 shared papers)Sherri Cicero (7 shared papers)Lei Zhang (6 shared papers)Michael E. Williams (6 shared papers)
- Journals
- Blood (13 papers)Journal of Clinical Oncology (11 papers)Leukemia Research (3 papers)Nature Communications (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Tommy Fu
41 papers receiving 958 citations
Peers
Comparison fields: 5 of 57
- Hematology 442
- Genetics 311
- Pathology and Forensic Medicine 410
- Oncology 418
- Molecular Biology 268
Countries citing papers authored by Tommy Fu
This map shows the geographic impact of Tommy Fu'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 Tommy Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tommy Fu more than expected).
Fields of papers citing papers by Tommy Fu
This network shows the impact of papers produced by Tommy Fu. 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 Tommy Fu. The network helps show where Tommy Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tommy Fu, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 271 | |
| 2 | 2009 | 138 | |
| 3 | 2014 | 98 | |
| 4 | 2013 | 73 | |
| 5 | 2012 | 60 | |
| 6 | 2018 | 49 | |
| 7 | 2018 | 48 | |
| 8 | 2009 | 44 | |
| 9 | 2015 | 30 | |
| 10 | 2009 | 19 | |
| 11 | 2017 | 17 | |
| 12 | 2023 | 16 | |
| 13 | 2012 | 13 | |
| 14 | 2010 | 12 | |
| 15 | 2015 | 11 | |
| 16 | 2019 | 10 | |
| 17 | 2011 | 7 | |
| 18 | Information security awareness and behaviour: of trained and untrained home users in Sweden. | 2015 | 6 |
| 19 | 2016 | 5 | |
| 20 | 2008 | 5 |
About Tommy Fu
Tommy Fu is a scholar working on Genetics, Oncology, Hematology, Pathology and Forensic Medicine and Molecular Biology, having authored 42 papers that have together received 976 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Chronic Lymphocytic Leukemia Research (16 papers), Multiple Myeloma Research and Treatments (11 papers), Acute Myeloid Leukemia Research (10 papers), CAR-T cell therapy research (5 papers), Protein Degradation and Inhibitors (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Salivary Gland Tumors Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (442 citations), Genetics (311 citations), Pathology and Forensic Medicine (410 citations), Oncology (418 citations) and Molecular Biology (268 citations). Tommy Fu has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Sevgi Kalayoğlu Beşışık, André Goy, Radhakrishnan Ramchandren, Johannes Drach, Thomas E. Witzig, Sherri Cicero, Lei Zhang, Michael E. Williams, Rajni Sinha and Aristoteles Giagounidis. Their work appears in journals such as Blood, Journal of Clinical Oncology, Leukemia Research, Nature Communications and Clinical Cancer Research.
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.