Kin Chan

22.5k citations
38 papers · 1.6k indexed · h-index 19

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Toxicology top 2%

Papers in

Kin Chan

38 papers receiving 1.6k citations

Peers

Kin Chan
Comparison fields: 5 of 103
  • Cancer Research 551
  • Toxicology 94
  • Molecular Biology 1.1k
  • Genetics 291
  • Oncology 277
Replace Subhasree Nag with:
Subhasree Nag United States
Robert Wild United States
Lubing Gu United States
Amy Roshak United States
Janeen H. Trembley United States
Alexander Pintzas Greece
Stéphanie Solier France
Margaret M. Kasten United States
Brandon J. Aubrey Australia
Gilberto Fronza Italy
Kin Chan relative to Subhasree Nag United States Subhasree Nag's profile →
Citations per field
00.5×4.2×
Subhasree Nag · 1×
Citations per year

Countries citing papers authored by Kin Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kin Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015284
2 2010202
3 2009112
4 2017106
5 201594
6 201781
7 201275
8 201466
9 201660
10 201356
11 201553
12 201949
13 201249
14 201444
15 201742
16 201935
17 201931
18 200227
19 201719
20 201518

About Kin Chan

Kin Chan is a scholar working on Aging, Cancer Research, Toxicology, Molecular Biology and Transplantation, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Cancer Genomics and Diagnostics (6 papers), MicroRNA in disease regulation (6 papers), DNA Repair Mechanisms (5 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Cancer Research (551 citations), Toxicology (94 citations), Molecular Biology (1.1k citations), Genetics (291 citations) and Oncology (277 citations). Kin Chan has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Dmitry A. Gordenin, Melvin Toh, Simon Law, Steven A. Roberts, Joan F. Sterling, Michael A. Resnick, Piotr A. Mieczkowski, David C. Fargo, Natalie Saini and Ewa P. Malc. Their work appears in journals such as Clinical Cancer Research, Theranostics, Cancer Letters, PLoS Genetics and Cancer Research and Treatment.

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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