Daniel Chua

1.9k citations
28 papers · 1.5k indexed · h-index 22

Impact in

Papers in

    • RNA modifications and cancer 8
    • Cancer-related gene regulation 5
    • Viral-associated cancers and disorders 5
    • CAR-T cell therapy research 4
    • Peptidase Inhibition and Analysis 3

Daniel Chua

27 papers receiving 1.5k citations

Peers

Daniel Chua
Comparison fields: 5 of 86
  • Otorhinolaryngology 171
  • Cancer Research 449
  • Oncology 671
  • Sensory Systems 65
  • Molecular Biology 823
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R Millon France
Amol Tandon United States
Pinaki Bose Canada
Julia V. Burnier Canada
Dominique Grall France
Mark N. Adams Australia
Torbjörn Norberg Sweden
Hiroto Katoh Japan
Josephine Mun Yee Ko Hong Kong
Clémence Thomas France
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Citations per field
00.5×
R Millon · 1×
Citations per year

Countries citing papers authored by Daniel Chua

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013206
2 1996146
3 2012135
4 200377
5 200677
6 201167
7 201166
8 200964
9 200463
10 200159
11 200651
12 200850
13 200449
14 200647
15 201046
16 200846
17 200642
18 200940
19 200938
20 200937

About Daniel Chua

Daniel Chua is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Otorhinolaryngology, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Viral-associated cancers and disorders (5 papers), Cancer-related gene regulation (5 papers), CAR-T cell therapy research (4 papers), Virus-based gene therapy research (4 papers), Cancer Research and Treatments (3 papers), Cancer-related molecular mechanisms research (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Otorhinolaryngology (171 citations), Cancer Research (449 citations), Oncology (671 citations), Sensory Systems (65 citations) and Molecular Biology (823 citations). Daniel Chua has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Maria Li Lung, Eric J. Stanbridge, Jonathan S. T. Sham, Hong Lok Lung, Eugene R. Zabarovsky, Sai Wah Tsao, Kwok Hung Chan, Dora L.�W. Kwong, Arthur Kwok Leung Cheung and John M. Nicholls. Their work appears in journals such as International Journal of Cancer, Cancer Research, Cancer Letters, Proceedings of the National Academy of Sciences and PLoS ONE.

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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