Hien Dang

2.1k citations
27 papers · 1.3k · 1 hit paper · h-index 16

Impact in

Papers in

Hien Dang

27 papers receiving 1.3k citations

Hien Dang's Hit Papers

Single‐cell analysis reveals cancer stem cell heterogeneity in hepatocellular carcinoma 2018 · 270 citations
2700+2+5Years since publication50100150200250

Peers

Hien Dang
Comparison fields: 5 of 94
  • Cancer Research 300
  • Hepatology 135
  • Oncology 261
  • Molecular Biology 621
  • Immunology 142
Replace Cong Xu with:
Cong Xu China
Ying Ju China
Nóra Schweitzer Germany
Chi Ho Lin Hong Kong
Kathryn Lynch–Devaney United States
Bing‐Ching Ho Taiwan
Fusheng Si China
Dianxing Sun China
Arianna Nenci Italy
Guijun Zhao China
Hien Dang relative to Cong Xu China Cong Xu's profile →
Citations per field
00.5×1.6×
Cong Xu · 1×
Citations per year

Countries citing papers authored by Hien Dang

Since Specialization
Citations

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

Fields of papers citing papers by Hien Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hien Dang. 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 Hien Dang. The network helps show where Hien Dang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Single‐cell analysis reveals cancer stem cell heterogeneity in hepatocellular carcinoma
Hit paper breakdown →
2018270
2 2018167
3 2008118
4 2017114
5 201884
6 201082
7 202056
8 201750
9 201449
10 202033
11 201030
12 201830
13 201625
14 201223
15 201822
16 201519
17 201914
18 201314
19 201611
20 201610

About Hien Dang

Hien Dang is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Cancer Research and Animal Science and Zoology, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Virus Infections Studies (4 papers), Aquaculture disease management and microbiota (3 papers), Microbial infections and disease research (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), RNA modifications and cancer (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cancer Research (300 citations), Hepatology (135 citations), Oncology (261 citations), Molecular Biology (621 citations) and Immunology (142 citations). Hien Dang has collaborated with scholars based in United States, South Korea and Thailand. Frequent co-authors include Xin Wei Wang, Jinping Liu, Wonyong Kim, Atsushi Takai, Yotsawat Pomyen, Marshonna Forgues, Anuradha Budhu, Jeremy L. Davis, Hongping Zheng and Ferenc Livák. Their work appears in journals such as Nature Communications, Hepatology, PLoS ONE, International Journal of Molecular Sciences and Comparative Immunology Microbiology and Infectious Diseases.

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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