T.T. Kwok

1.1k citations
24 papers · 974 · h-index 18

Impact in

Papers in

    • Cell death mechanisms and regulation 4
    • Metabolism, Diabetes, and Cancer 2
    • Cancer therapeutics and mechanisms 2
    • Cancer, Hypoxia, and Metabolism 5
    • MicroRNA in disease regulation 2

T.T. Kwok

24 papers receiving 953 citations

Peers

T.T. Kwok
Comparison fields: 5 of 93
  • Cancer Research 284
  • Applied Microbiology and Biotechnology 38
  • Biochemistry 63
  • Oncology 227
  • Molecular Biology 541
Replace Wei‐En Yang with:
Wei‐En Yang Taiwan
Rong Fu China
Gerhard Sperl United States
Ellen De Schrijver Belgium
Hiroyuki Sadano Japan
Mengqiu Song China
Nicholas Brown United Kingdom
Jui-Wen Huang Taiwan
T.T. Kwok relative to Wei‐En Yang Taiwan Wei‐En Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by T.T. Kwok

Since Specialization
Citations

This map shows the geographic impact of T.T. Kwok'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 T.T. Kwok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.T. Kwok more than expected).

Fields of papers citing papers by T.T. Kwok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.T. Kwok. 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 T.T. Kwok. The network helps show where T.T. Kwok may publish in the future.

Co-authors

The 25 scholars most cited alongside T.T. Kwok, 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 T.T. Kwok Line = papers co-authored together T.T. Kwok links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001138
2 2011117
3 199183
4 200871
5 200757
6 201257
7 198956
8 199847
9 200239
10 200335
11 200630
12 200026
13 199126
14 200024
15 198523
16 199922
17 198922
18 199220
19 200417
20 199716

About T.T. Kwok

T.T. Kwok is a scholar working on Molecular Biology, Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 974 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Effects of Radiation Exposure (4 papers), Cell death mechanisms and regulation (4 papers), Drug Transport and Resistance Mechanisms (3 papers), MicroRNA in disease regulation (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer therapeutics and mechanisms (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Cancer Research (284 citations), Applied Microbiology and Biotechnology (38 citations), Biochemistry (63 citations), Oncology (227 citations) and Molecular Biology (541 citations). T.T. Kwok has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Kwok‐Pui Fung, Siu Kai Kong, Robyn M. Sutherland, Tsun Yee Tsang, Y.M. Choy, Chi Lam Au Yeung, S.K. Kong, R. M. Sutherland, Y. K. Suen and C.Y. Lee. Their work appears in journals such as Life Sciences, Biochemical and Biophysical Research Communications, British Journal of Cancer, International Journal of Radiation Oncology*Biology*Physics and Radiation 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.

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