Tak W. Mak

129.3k citations
710 papers · 96.1k indexed · 40 hit papers · h-index 156
Topics
Immune Cell Function and Interaction (134 papers)T-cell and B-cell Immunology (121 papers)Immune Response and Inflammation (80 papers)
Partner nations
CanadaUnited StatesJapan

In The Last Decade

Tak W. Mak

703 papers receiving 94.1k citations

Hit Papers

Regulation of cancer cell meta...19842026199820122011201319992002199810002.0k3.0k

Peers

Tak W. Mak
Comparison fields: 5 of 195
  • Molecular Biology 49.6k
  • Immunology 34.0k
  • Oncology 22.6k
  • Cancer Research 17.0k
  • Epidemiology 7.3k
Replace John C. Reed with:
John C. Reed United States
Douglas R. Green United States
Vishva M. Dixit United States
Klaus Rajewsky Germany
Craig B. Thompson United States
David Baltimore United States
George D. Yancopoulos 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
00.5×3.3×
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-authorship network of co-authors of Tak W. Mak

This figure shows the co-authorship network connecting the top 25 collaborators of Tak W. Mak. A scholar is included among the top collaborators of Tak W. Mak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tak W. Mak. Tak W. Mak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 179
2 322
3 52
4 91
5 64
6 64
7 14
8 37
9
Cancer-associated metabolite 2-hydroxyglutarate accumulates in acute myelogenous leukemia with isocitrate dehydrogenase 1 and 2 mutationsbreakdown →
558
10 154
11 145
12 165
13 46
14 426
15 176
16 380
17 82
18 42
19 315
20 78

About Tak W. Mak

Tak W. Mak is a scholar working on Immunology, Cancer Research and Oncology, having authored 710 papers that have together received 96.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (134 papers), T-cell and B-cell Immunology (121 papers) and Immune Response and Inflammation (80 papers). The work is most often cited by research in Immunology (34.0k citations), Cancer Research (17.0k citations) and Oncology (22.6k 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 Nature, Science and New England Journal of 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.

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