Hui‐Ling Chen

136 papers receiving 3.8k citations

Peers

Hui‐Ling Chen
Comparison fields: 5 of 143
  • Hepatology 367
  • Cancer Research 329
  • Virology 89
  • Developmental Neuroscience 75
  • Molecular Biology 1.3k
Replace Kikuo Onozaki with:
Kikuo Onozaki Japan
Alejandro Zentella‐Dehesa Mexico
Donna L. Mendrick United States
Hans A. Lehr Germany
Dwight H. Kono United States
Sonia C. Flores United States
Volker Daniel Germany
Ulrich Kunzendorf Germany
Stefan Krautwald Germany
Hui‐Ling Chen relative to Kikuo Onozaki Japan Kikuo Onozaki's profile →
Citations per field
00.5×2×3.4×
Kikuo Onozaki · 1×
Citations per year

Countries citing papers authored by Hui‐Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011267
2 2005153
3 2006151
4 2002138
5 2003127
6
Frequent genetic alterations at the distal region of chromosome 1p in human hepatocellular carcinomas.
1994117
7 2010110
8 1983109
9 2018108
10 200589
11 200183
12 201181
13 201376
14 200875
15 200974
16 201071
17 201068
18 201966
19 200464
20 200963

About Hui‐Ling Chen

Hui‐Ling Chen is a scholar working on Molecular Biology, Oncology, Epidemiology, Surgery and Genetics, having authored 139 papers that have together received 3.9k indexed citations. Recurring topics across this work include Liver physiology and pathology (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Organ Transplantation Techniques and Outcomes (10 papers), Drug Transport and Resistance Mechanisms (5 papers), Cancer-related Molecular Pathways (5 papers), HIV Research and Treatment (5 papers), Enhanced Oil Recovery Techniques (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Hepatology (367 citations), Cancer Research (329 citations), Virology (89 citations), Developmental Neuroscience (75 citations) and Molecular Biology (1.3k citations). Hui‐Ling Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Pei‐Jer Chen, Mei‐Hwei Chang, Ann‐Lii Cheng, Huey‐Ling Chen, Kuen‐Feng Chen, Wei‐Tien Tai, Shao‐Chun Lu, Chih‐Hung Hsu, Ding‐Shinn Chen and Wen-Chi Feng. Their work appears in journals such as Journal of Biomedical Science, PLoS ONE, Journal of Virology, Journal of Biological Chemistry and Acta Pharmacologica Sinica.

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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