Bing‐Fang Chen

804 citations
12 papers · 676 · h-index 10

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis B Virus Studies 9
    • Liver Disease Diagnosis and Treatment 3
    • Hepatitis C virus research 5
    • Hepatitis Viruses Studies and Epidemiology 1

Bing‐Fang Chen

12 papers receiving 667 citations

Peers

Bing‐Fang Chen
Comparison fields: 5 of 56
  • Hepatology 283
  • Epidemiology 459
  • Pharmacology 62
  • Insect Science 41
  • Plant Science 106
Replace Katherine H. Kodama with:
Katherine H. Kodama United States
Fabian Elgner Germany
Anna Boguszewska‐Chachulska Poland
Ramachandra S. Naik United States
Sara J. Blosser United States
C. M. A. Soares Brazil
Aiping Cao China
Lara Grollo Australia
María Mercedes Elizalde Argentina
Suthathip Kittisenachai Thailand
Bing‐Fang Chen relative to Katherine H. Kodama United States Katherine H. Kodama's profile →
Citations per field
00.5×10×15×20×
Katherine H. Kodama · 1×
Citations per year

Countries citing papers authored by Bing‐Fang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bing‐Fang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Bing‐Fang Chen, 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 Bing‐Fang Chen Line = papers co-authored together Bing‐Fang Chen links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2006229
2 2004126
3 200896
4 200544
5 201839
6 201335
7 201632
8 200527
9 201221
10 201614
11 20179
12
Clinical Significance of the Hepatitis B Virus Pre-S Deletion
20104

About Bing‐Fang Chen

Bing‐Fang Chen is a scholar working on Epidemiology, Hepatology, Immunology, Molecular Biology and Organic Chemistry, having authored 12 papers that have together received 676 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (9 papers), Hepatitis C virus research (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Protein Interaction Studies and Fluorescence Analysis (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Hepatology (283 citations), Epidemiology (459 citations), Pharmacology (62 citations), Insect Science (41 citations) and Plant Science (106 citations). Bing‐Fang Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Guey‐Mei Jow, Pei‐Jer Chen, Ding‐Shinn Chen, Chun‐Jen Liu, Jia‐Horng Kao, Yu‐Min Lin, Shu‐Chi Mu, Cheng‐Jen Chou, Hen-I Lin and Chien‐Lin Lu. Their work appears in journals such as World Journal of Gastroenterology, Virology, Cancer Letters, Journal of Biomedical Science and Biochemical and Biophysical Research Communications.

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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