Tongwei Mo
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Genetics 6
- Chronic Lymphocytic Leukemia Research 6
-
- Lymphoma Diagnosis and Treatment 7
- Co-authors
- Riccardo Dalla‐Favera (15 shared papers)Qiong “John” Shen (9 shared papers)Marie Lia (6 shared papers)Ulf Klein (6 shared papers)Giorgio Cattoretti (3 shared papers)Laura Pasqualucci (9 shared papers)Govind Bhagat (8 shared papers)Klaus Rajewsky (3 shared papers)
- Journals
- Blood (7 papers)Cancer Cell (3 papers)Nature Immunology (1 paper)Cancer Discovery (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Tongwei Mo
15 papers receiving 2.7k citations
Tongwei Mo's Hit Papers
Peers
Comparison fields: 5 of 81
- Genetics 574
- Immunology 1.1k
- Pathology and Forensic Medicine 788
- Cancer Research 551
- Oncology 609
Countries citing papers authored by Tongwei Mo
This map shows the geographic impact of Tongwei Mo'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 Tongwei Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tongwei Mo more than expected).
Fields of papers citing papers by Tongwei Mo
This network shows the impact of papers produced by Tongwei Mo. 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 Tongwei Mo. The network helps show where Tongwei Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Tongwei Mo, 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 | The DLEU2/miR-15a/16-1 Cluster Controls B Cell Proliferation and Its Deletion Leads to Chronic Lymphocytic Leukemia Hit paper breakdown → | 2010 | 678 |
| 2 | 2006 | 633 | |
| 3 | 2015 | 379 | |
| 4 | 2005 | 318 | |
| 5 | 2010 | 237 | |
| 6 | 2015 | 205 | |
| 7 | 2017 | 189 | |
| 8 | 2011 | 58 | |
| 9 | 2023 | 13 | |
| 10 | 2005 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2008 | 2 | |
| 13 | 2011 | 2 | |
| 14 | 2006 | 1 | |
| 15 | 2009 | 1 | |
| 16 | 2026 | 0 |
About Tongwei Mo
Tongwei Mo is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Molecular Biology and Oncology, having authored 16 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Ubiquitin and proteasome pathways (3 papers), Immune Cell Function and Interaction (3 papers), Glycosylation and Glycoproteins Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), CAR-T cell therapy research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Genetics (574 citations), Immunology (1.1k citations), Pathology and Forensic Medicine (788 citations), Cancer Research (551 citations) and Oncology (609 citations). Tongwei Mo has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Riccardo Dalla‐Favera, Qiong “John” Shen, Marie Lia, Ulf Klein, Giorgio Cattoretti, Laura Pasqualucci, Govind Bhagat, Klaus Rajewsky, Antony B. Holmes and Katia Basso. Their work appears in journals such as Blood, Cancer Cell, Nature Immunology, Cancer Discovery and Nature Medicine.
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.