An Hong

3.3k citations
111 papers · 2.1k · h-index 26

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Nanoparticle-Based Drug Delivery

Papers in

    • Fibroblast Growth Factor Research 17
    • RNA Research and Splicing 6
    • RNA modifications and cancer 6
    • Epigenetics and DNA Methylation 6
    • Bone Metabolism and Diseases 6
    • MicroRNA in disease regulation 6

An Hong

101 papers receiving 2.0k citations

Peers

An Hong
Comparison fields: 5 of 136
  • Cancer Research 430
  • Biomaterials 218
  • Molecular Biology 991
  • Oncology 328
  • Nutrition and Dietetics 153
Replace Err–Cheng Chan with:
Err–Cheng Chan Taiwan
Bertrand Czarny Singapore
Lisong Teng China
Panghu Zhou China
Han Qiao China
Houría Boulaiz Spain
Haohuan Li China
Chun‐Bo Teng China
Zhe Zhang China
Yan Ma China
An Hong relative to Err–Cheng Chan Taiwan Err–Cheng Chan's profile →
Citations per field
00.5×6.4×
Err–Cheng Chan · 1×
Citations per year

Countries citing papers authored by An Hong

Since Specialization
Citations

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

Fields of papers citing papers by An Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021147
2 2016137
3 2012108
4 200997
5 202386
6 200485
7 201784
8 200779
9 201765
10 202157
11 202153
12 200548
13 201438
14 200438
15 201236
16 201334
17 201733
18 201432
19 201932
20 201231

About An Hong

An Hong is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Oncology and Surgery, having authored 111 papers that have together received 2.1k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (17 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (6 papers), MicroRNA in disease regulation (6 papers), Bone Metabolism and Diseases (6 papers), Bone Tissue Engineering Materials (5 papers) and Proteoglycans and glycosaminoglycans research (5 papers). The work is most often cited by research in Cancer Research (430 citations), Biomaterials (218 citations), Molecular Biology (991 citations), Oncology (328 citations) and Nutrition and Dietetics (153 citations). An Hong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaojia Chen, Ju Wang, Martijn C. Post, Yulin Cao, Henny Schulten, Yongchun Yu, Xiaogang Wang, Yayu Wang, Kim W. Daigle and Jinsong Ren. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biomedical Materials, Journal of Biological Chemistry, ACS Nano and Materials Today Bio.

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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