Wei‐En Yang

1.6k citations
34 papers · 1.4k · h-index 18

Impact in

Papers in

    • Protease and Inhibitor Mechanisms 7
    • Cancer-related molecular mechanisms research 3
    • Peptidase Inhibition and Analysis 4

Wei‐En Yang

32 papers receiving 1.4k citations

Peers

Wei‐En Yang
Comparison fields: 5 of 92
  • Endocrine and Autonomic Systems 171
  • Cancer Research 361
  • Applied Microbiology and Biotechnology 28
  • Complementary and alternative medicine 89
  • Oncology 233
Replace Yueh‐Min Lin with:
Yueh‐Min Lin Taiwan
Wendan Yu China
Eunah Shin South Korea
Irfana Muqbil United States
Alexandra Arreola United States
Yufeng Shi China
Deepak Poudyal United States
Kuen‐Haur Lee Taiwan
Wenhua Xue China
Wei‐En Yang relative to Yueh‐Min Lin Taiwan Yueh‐Min Lin's profile →
Citations per field
00.5×2×3×4×
Yueh‐Min Lin · 1×
Citations per year

Countries citing papers authored by Wei‐En Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐En Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐En Yang. 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 Wei‐En Yang. The network helps show where Wei‐En Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016261
2 2015127
3 2013117
4 2017116
5 200792
6 201982
7 201677
8 201656
9 201751
10 201446
11 201438
12 201732
13 201929
14 201828
15 201927
16 202120
17 202118
18 202418
19 201216
20 201715

About Wei‐En Yang

Wei‐En Yang is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Immunology and Allergy, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (7 papers), Peptidase Inhibition and Analysis (4 papers), RNA modifications and cancer (3 papers), Cell death mechanisms and regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Circadian rhythm and melatonin (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Inflammation biomarkers and pathways (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (171 citations), Cancer Research (361 citations), Applied Microbiology and Biotechnology (28 citations), Complementary and alternative medicine (89 citations) and Oncology (233 citations). Wei‐En Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shun‐Fa Yang, Chiao‐Wen Lin, Shih‐Chi Su, Ming‐Ju Hsieh, Wen‐Hung Chung, Mu‐Kuan Chen, Russel Joseph Reiter, Chun‐Wen Su, Pei‐Ni Chen and Wen‐Lang Fan. Their work appears in journals such as International Journal of Medical Sciences, Environmental Toxicology, Journal of Cellular and Molecular Medicine, Expert Opinion on Therapeutic Targets and International Journal of Molecular 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.

Explore authors with similar magnitude of impact