Tak W. Mak

130.3k citations
755 papers · 100.2k · 42 hit papers · h-index 159

Impact in

  • Immunology top 0.01%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
  • Cancer Research top 0.01%
    • NF-κB Signaling Pathways

Papers in

    • Immune Cell Function and Interaction 149
    • T-cell and B-cell Immunology 135
    • Immune Response and Inflammation 84
    • Immunotherapy and Immune Responses 76
    • Cell death mechanisms and regulation 48
    • PI3K/AKT/mTOR signaling in cancer 44

Tak W. Mak

742 papers receiving 97.5k citations

Tak W. Mak's Hit Papers

Beyond immune checkpoint blockade: emerging immunological strategies 2021 · 344 citations
3440+7+14Years since publication10002.0k3.0k4.0k

Peers

Tak W. Mak
Comparison fields: 5 of 196
  • Immunology 33.4k
  • Cancer Research 16.2k
  • Oncology 21.9k
  • Molecular Biology 48.5k
  • Genetics 3.9k
Replace John C. Reed with:
John C. Reed United States
Douglas R. Green United States
Klaus Rajewsky Germany
Vishva M. Dixit United States
Craig B. Thompson United States
George D. Yancopoulos United States
David Baltimore United States
Douglas Hanahan United States
Roderick T. Bronson United States
Stanley J. Korsmeyer United States
Tak W. Mak relative to John C. Reed United States John C. Reed's profile →
Citations per field
00.5×1.5×2.4×
John C. Reed · 1×
Citations per year

Countries citing papers authored by Tak W. Mak

Since Specialization
Citations

This map shows the geographic impact of Tak W. 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 Tak W. Mak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tak W. Mak more than expected).

Fields of papers citing papers by Tak W. Mak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tak W. 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 Tak W. Mak. The network helps show where Tak W. Mak may publish in the future.

Co-authors

The 25 scholars most cited alongside Tak W. Mak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tak W. Mak Line = papers co-authored together Tak W. Mak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 755 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Regulation of cancer cell metabolism
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20114034
2
Modulation of oxidative stress as an anticancer strategy
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20132954
3
OPGL is a key regulator of osteoclastogenesis, lymphocyte development and lymph-node organogenesis
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19992939
4
Induction and Activation of the Transcription Factor NFATc1 (NFAT2) Integrate RANKL Signaling in Terminal Differentiation of Osteoclasts
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20022290
5
Negative Regulation of PKB/Akt-Dependent Cell Survival by the Tumor Suppressor PTEN
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19982132
6
Immunologic Self-Tolerance Maintained by Cd25+Cd4+Regulatory T Cells Constitutively Expressing Cytotoxic T Lymphocyte–Associated Antigen 4
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20001877
7
Acetylcholine-Synthesizing T Cells Relay Neural Signals in a Vagus Nerve Circuit
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20111202
8
A human T cell-specific cDNA clone encodes a protein having extensive homology to immunoglobulin chains
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19841096
9
DNA Damage-Induced Activation of p53 by the Checkpoint Kinase Chk2
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20001077
10
An essential role for NOD1 in host recognition of bacterial peptidoglycan containing diaminopimelic acid
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20031073
11
Beyond PTEN mutations: the PI3K pathway as an integrator of multiple inputs during tumorigenesis
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20061026
12
Regulation of oxidative stress by ATM is required for self-renewal of haematopoietic stem cells
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2004980
13
Profound block in thymocyte development in mice lacking p56lck
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1992883
14
Pathways of apoptotic and non-apoptotic death in tumour cells
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2004849
15
TNF and ROS Crosstalk in Inflammation
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2016837
16
Integral role of IRF-5 in the gene induction programme activated by Toll-like receptors
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2005826
17
FADD: Essential for Embryo Development and Signaling from Some, But Not All, Inducers of Apoptosis
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1998791
18
Regulation of tumour necrosis factor signalling: live or let die
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2015791
19
Regulation of PTEN Transcription by p53
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2001778
20
Requirement for Transcription Factor IRF-1 in NO Synthase Induction in Macrophages
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1994763

About Tak W. Mak

Tak W. Mak is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Cell Biology, having authored 755 papers that have together received 100.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (149 papers), T-cell and B-cell Immunology (135 papers), Immune Response and Inflammation (84 papers), Immunotherapy and Immune Responses (76 papers), Cancer-related Molecular Pathways (63 papers), NF-κB Signaling Pathways (58 papers), Cell death mechanisms and regulation (48 papers) and PI3K/AKT/mTOR signaling in cancer (44 papers). The work is most often cited by research in Immunology (33.4k citations), Cancer Research (16.2k citations), Oncology (21.9k citations), Molecular Biology (48.5k citations) and Genetics (3.9k citations). Tak W. Mak has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Isaac S. Harris, Rob A. Cairns, Andrew Wakeham, Chiara Gorrini, Andrew Elia, Gordon S. Duncan, Dirk Brenner, Akira Suzuki, Jürgen Ruland and Yasunobu Yoshikai. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, The Journal of Experimental Medicine, European Journal of Immunology and Nature.

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.

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