Gilbert Chu

24.3k citations
87 papers · 19.8k indexed · 5 hit papers · h-index 43

Gilbert Chu

87 papers receiving 19.4k citations

Hit Papers

Diagnosis of multiple cancer types by shrunken centr...2.1k19862026199920122.5k5.0k7.5k

Peers

Gilbert Chu
Comparison fields: 5 of 197
  • Molecular Biology 14.0k
  • Cancer Research 3.0k
  • Oncology 3.0k
  • Aging 174
  • Genetics 2.3k
Replace Alexander Röth with:
Alexander Röth Germany
Jerry Pelletier Canada
John Quackenbush United States
Stefan Wyder Switzerland
Roland Eils Germany
Timothy D. Veenstra United States
David Lyon United States
Ryûji Kobayashi United States
Nicholas D. Socci United States
Mark S. Boguski United States
Gilbert Chu relative to Alexander Röth Germany Alexander Röth's profile →
Citations per field
00.5×1.7×
Alexander Röth · 1×
Citations per year

Countries citing papers authored by Gilbert Chu

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 2013212
3 20125
4 200814
5 20083
6 2007112
7 200590
8 2002133
9 200225
10 20027
11 200185
12 199828
13 199756
14 199610
15 199641
16 1996135
17 199393
18 19918
19 198934
20 198528

About Gilbert Chu

Gilbert Chu is a scholar working on Cancer Research, Molecular Biology and Biotechnology, having authored 87 papers that have together received 19.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (42 papers), Carcinogens and Genotoxicity Assessment (18 papers), CRISPR and Genetic Engineering (11 papers), DNA and Nucleic Acid Chemistry (7 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers), Cancer therapeutics and mechanisms (6 papers), Particle physics theoretical and experimental studies (6 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Molecular Biology (14.0k citations), Cancer Research (3.0k citations) and Oncology (3.0k citations). Gilbert Chu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Robert Tibshirani, Trevor Hastie, Balasubramanian Narasimhan, Ronald W. Davis, Douglas Vollrath, Paul Berg, Byung Joon Hwang, W. Kimryn Rathmell, Hiroshi Hayakawa and Philip C. Hanawalt. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Science and Nucleic Acids 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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