Arthur K. Ching

1.7k citations
20 papers · 1.4k · h-index 17

Impact in

Papers in

    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 3
    • Cancer Genomics and Diagnostics 3
    • Cancer, Lipids, and Metabolism 2
    • RNA modifications and cancer 3
    • Epigenetics and DNA Methylation 2

Arthur K. Ching

20 papers receiving 1.4k citations

Peers

Arthur K. Ching
Comparison fields: 5 of 90
  • Cancer Research 622
  • Hepatology 172
  • Molecular Biology 965
  • Oncology 190
  • Epidemiology 238
Replace Hengjun Gao with:
Hengjun Gao China
Joanna H.M. Tong Hong Kong
Zhengxin Wang China
Karen Man‐Fong Sze Hong Kong
Mairene Coto‐Llerena Switzerland
Ming-hua Zhu China
Yixuan Yang China
Zhaorui Lian United States
Tien-Shun Yeh Taiwan
Arthur K. Ching relative to Hengjun Gao China Hengjun Gao's profile →
Citations per field
00.5×1.5×
Hengjun Gao · 1×
Citations per year

Countries citing papers authored by Arthur K. Ching

Since Specialization
Citations

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

Fields of papers citing papers by Arthur K. Ching

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arthur K. Ching. 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 Arthur K. Ching. The network helps show where Arthur K. Ching may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2014213
2 2010210
3 2011180
4 2008159
5 2013152
6 201177
7 201276
8 201162
9 201450
10 200639
11 200736
12 201236
13 200834
14 200824
15 201420
16 200917
17 201016
18 20233
19 20142
20 20101

About Arthur K. Ching

Arthur K. Ching is a scholar working on Cancer Research, Molecular Biology, Cell Biology, Epidemiology and Oncology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Microtubule and mitosis dynamics (4 papers), MicroRNA in disease regulation (3 papers), Liver physiology and pathology (3 papers), Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (622 citations), Hepatology (172 citations), Molecular Biology (965 citations), Oncology (190 citations) and Epidemiology (238 citations). Arthur K. Ching has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Nathalie Wong, Ka‐Fai To, Anthony W.H. Chan, Paul B.S. Lai, Kwong Wai Choy, Mian He, Ting‐Fung Chan, Keng Po Lai, Ngai Na Co and Raymond Wai Ming Lung. Their work appears in journals such as Carcinogenesis, The Journal of Pathology, International Journal of Cancer, Oncogene and Cancer 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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