Ja‐Mun Chong

2.5k citations
41 papers · 1.9k · h-index 22

Impact in

    • Gastrointestinal Tumor Research and Treatment
  • Oncology top 5%
    • Viral-associated cancers and disorders

Papers in

    • Viral-associated cancers and disorders 13
    • Gastrointestinal disorders and treatments 5
    • Cholangiocarcinoma and Gallbladder Cancer Studies 4

Ja‐Mun Chong

40 papers receiving 1.9k citations

Peers

Ja‐Mun Chong
Comparison fields: 5 of 91
  • Gastroenterology 264
  • Oncology 800
  • Pathology and Forensic Medicine 445
  • Cancer Research 315
  • Molecular Biology 880
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Ja‐Mun Chong relative to Yasushi Kasai Japan Yasushi Kasai's profile →
Citations per field
00.5×1.5×2.3×
Yasushi Kasai · 1×
Citations per year

Countries citing papers authored by Ja‐Mun Chong

Since Specialization
Citations

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

Fields of papers citing papers by Ja‐Mun Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ja‐Mun Chong. 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 Ja‐Mun Chong. The network helps show where Ja‐Mun Chong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global gene expression analysis of gastric cancer by oligonucleotide microarrays.
2002280
2
p300 gene alterations in colorectal and gastric carcinomas.
1996237
3
Microsatellite instability in the progression of gastric carcinoma.
1994181
4 2006164
5 1999114
6 1999103
7 200685
8 200067
9 200367
10 199763
11 200362
12 200458
13 200246
14 199844
15 200238
16 199936
17 200035
18 199830
19 200130
20 200529

About Ja‐Mun Chong

Ja‐Mun Chong is a scholar working on Oncology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (13 papers), Cancer-related gene regulation (9 papers), Gastrointestinal Tumor Research and Treatment (5 papers), Epigenetics and DNA Methylation (5 papers), Gastrointestinal disorders and treatments (5 papers), Genetic factors in colorectal cancer (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers). The work is most often cited by research in Gastroenterology (264 citations), Oncology (800 citations), Pathology and Forensic Medicine (445 citations), Cancer Research (315 citations) and Molecular Biology (880 citations). Ja‐Mun Chong has collaborated with scholars based in Japan and United States. Frequent co-authors include Masashi Fukayama, Michiko Miyaki, Hiroshi Uozaki, Rei Kikuchi-Yanoshita, Hideo Nagai, Shinji Sakurai, Kazuya Sakuma, Tomoki Fukasawa, M. Konishi and Akira Tanaka. Their work appears in journals such as International Journal of Cancer, Gastric Cancer, Diagnostic Cytopathology, Journal of Virology and Clinical 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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