Chi‐Chen Hong

2.1k citations
70 papers · 1.6k · h-index 23

Impact in

  • Oncology top 10%
    • Cancer Risks and Factors
    • Global Cancer Incidence and Screening
    • Cancer survivorship and care

Papers in

    • Cancer Risks and Factors 17
    • Global Cancer Incidence and Screening 4
    • Cancer survivorship and care 3
    • Metabolism, Diabetes, and Cancer 4

Chi‐Chen Hong

67 papers receiving 1.6k citations

Peers

Chi‐Chen Hong
Comparison fields: 5 of 119
  • Oncology 408
  • Cancer Research 166
  • Behavioral Neuroscience 37
  • Physiology 176
  • Immunology 128
Replace Jing Sun with:
Jing Sun China
Donna J. Buckley United States
Vanessa Dumeaux Canada
Ashley M. Bunker United States
Myron Gross United States
Catalin Marian Romania
Luca Cavallone Canada
Barbara Altieri Germany
Hisashi Masuyama Japan
Nathalie Fuentes United States
Chi‐Chen Hong relative to Jing Sun China Jing Sun's profile →
Citations per field
00.5×10×20×26.3×
Jing Sun · 1×
Citations per year

Countries citing papers authored by Chi‐Chen Hong

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Chen Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi‐Chen Hong. 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 Chi‐Chen Hong. The network helps show where Chi‐Chen Hong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013272
2 2008100
3 200785
4 200969
5 201758
6 201355
7 201354
8 201353
9 201948
10 200947
11 201443
12 200442
13 200741
14 201640
15 200439
16 201636
17 201036
18 201333
19 202031
20 201530

About Chi‐Chen Hong

Chi‐Chen Hong is a scholar working on Oncology, Molecular Biology, Cancer Research, Physiology and Pathology and Forensic Medicine, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Risks and Factors (17 papers), Nutritional Studies and Diet (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Global Cancer Incidence and Screening (4 papers), Estrogen and related hormone effects (3 papers), Vitamin D Research Studies (3 papers), BRCA gene mutations in cancer (3 papers) and Cancer survivorship and care (3 papers). The work is most often cited by research in Oncology (408 citations), Cancer Research (166 citations), Behavioral Neuroscience (37 citations), Physiology (176 citations) and Immunology (128 citations). Chi‐Chen Hong has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Christine B. Ambrosone, Elisa Victoria Bandera, Elizabeth A. Repasky, Kathleen M. Kokolus, Song Yao, Gary Zirpoli, Scott I. Abrams, Sandra Sexton, Chen-Ting Lee and Bonnie Lee Hylander. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Breast Cancer Research, Breast Cancer Research and Treatment, Carcinogenesis and Advances in experimental medicine and biology.

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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