TW Mak
Impact in
- Immunology top 5%
- interferon and immune responses
- Toxicology top 5%
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 3
-
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 4
- Co-authors
- Thorsten Berger (2 shared papers)David R. McIlwain (1 shared paper)H Griesser (2 shared papers)Michael J. Rogers (1 shared paper)Meenakshi A. Chellaiah (1 shared paper)Tao Ma (1 shared paper)Aurel Perren (1 shared paper)He Liu (1 shared paper)
- Journals
- Blood (9 papers)Cold Spring Harbor Symposia on Quantitative Biology (2 papers)Cell Death and Differentiation (1 paper)The Journal of Immunology (1 paper)Biochemical Society Transactions (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
TW Mak
20 papers receiving 2.5k citations
TW Mak's Hit Papers
Peers
Comparison fields: 5 of 116
- Immunology 448
- Toxicology 72
- Molecular Biology 1.4k
- Cancer Research 249
- Oncology 387
Countries citing papers authored by TW Mak
This map shows the geographic impact of TW Mak'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 TW Mak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TW Mak more than expected).
Fields of papers citing papers by TW Mak
This network shows the impact of papers produced by TW Mak. 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 TW Mak. The network helps show where TW Mak may publish in the future.
Co-authors
The 25 scholars most cited alongside TW Mak, 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 | Caspase Functions in Cell Death and Disease Hit paper breakdown → | 2013 | 2070 |
| 2 | 1996 | 107 | |
| 3 | 1989 | 107 | |
| 4 | 2013 | 70 | |
| 5 | 2007 | 59 | |
| 6 | 1989 | 27 | |
| 7 | 1989 | 24 | |
| 8 | 1980 | 14 | |
| 9 | 1979 | 12 | |
| 10 | 2013 | 8 | |
| 11 | 1986 | 6 | |
| 12 | 2004 | 6 | |
| 13 | 1994 | 5 | |
| 14 | 1989 | 2 | |
| 15 | 1989 | 2 | |
| 16 | 1986 | 2 | |
| 17 | 2025 | 1 | |
| 18 | Negative regulation of myofibroblast differentiation by PTEN | 2006 | 1 |
| 19 | 1988 | 1 | |
| 20 | Prostaglandin E2 inhibits fibroblast migration by EP2 receptor-mediated increase in PTEN activity | 2005 | 1 |
About TW Mak
TW Mak is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Acute Lymphoblastic Leukemia research (4 papers), T-cell and B-cell Immunology (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Immunology (448 citations), Toxicology (72 citations), Molecular Biology (1.4k citations), Cancer Research (249 citations) and Oncology (387 citations). TW Mak has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Thorsten Berger, David R. McIlwain, H Griesser, Michael J. Rogers, Meenakshi A. Chellaiah, Tao Ma, Aurel Perren, He Liu, Gerry Melino and Mario P. Tschan. Their work appears in journals such as Blood, Cold Spring Harbor Symposia on Quantitative Biology, Cell Death and Differentiation, The Journal of Immunology and Biochemical Society Transactions.
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.