Yen-An Tang

1.3k citations
15 papers · 1.1k · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Cells and Metastasis

Papers in

    • Histone Deacetylase Inhibitors Research 5
    • Epigenetics and DNA Methylation 4
    • Glycosylation and Glycoproteins Research 1
    • Ubiquitin and proteasome pathways 1
    • FOXO transcription factor regulation 1
    • Plant-derived Lignans Synthesis and Bioactivity 1
    • Peptidase Inhibition and Analysis 3

Yen-An Tang

15 papers receiving 1.0k citations

Peers

Yen-An Tang
Comparison fields: 5 of 89
  • Cancer Research 311
  • Oncology 261
  • Molecular Biology 685
  • Biotechnology 40
  • Immunology 92
Replace Hiroaki Kasashima with:
Hiroaki Kasashima Japan
Takeshi Motohara Japan
Ashwini A. Katre United States
Haiyun Cheng United States
Yanqing Ding China
Miriam Redrado Spain
Stacey M. Bagby United States
Vinod Vathipadiekal United States
Maurizia Mello‐Grand Italy
Yen-An Tang relative to Hiroaki Kasashima Japan Hiroaki Kasashima's profile →
Citations per field
00.5×1.5×1.8×
Hiroaki Kasashima · 1×
Citations per year

Countries citing papers authored by Yen-An Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yen-An Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018235
2 2017186
3 2010161
4 2011118
5 200557
6 201055
7 201552
8 201241
9 201435
10 201330
11 201723
12 201320
13 201320
14 201713
15 20215

About Yen-An Tang

Yen-An Tang is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Sociology and Political Science, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (5 papers), Epigenetics and DNA Methylation (4 papers), Peptidase Inhibition and Analysis (3 papers), Glycosylation and Glycoproteins Research (1 paper), Ubiquitin and proteasome pathways (1 paper), FOXO transcription factor regulation (1 paper), Liver physiology and pathology (1 paper) and Plant-derived Lignans Synthesis and Bioactivity (1 paper). The work is most often cited by research in Cancer Research (311 citations), Oncology (261 citations), Molecular Biology (685 citations), Biotechnology (40 citations) and Immunology (92 citations). Yen-An Tang has collaborated with scholars based in Taiwan, Singapore and United States. Frequent co-authors include Yi‐Ching Wang, Han‐Shui Hsu, Wu‐Wei Lai, Ruo-Kai Lin, Jayu Jen, Yi-Chieh Yang, Chih‐Yi Chen, Sau Shung Fong, Gokce Oguz and Min Feng. Their work appears in journals such as Clinical Cancer Research, PLoS ONE, Cancer Research, Cancer Letters and International Journal of Medical Sciences.

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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