Aifen Wang

500 citations
17 papers · 337 · h-index 7

Impact in

  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Caveolin-1 and cellular processes
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Aifen Wang

15 papers receiving 333 citations

Peers

Aifen Wang
Comparison fields: 5 of 66
  • Cell Biology 139
  • Cancer Research 75
  • Molecular Biology 198
  • Geriatrics and Gerontology 11
  • Oncology 76
Replace Zhao-na Yang with:
Zhao-na Yang China
Hirosumi Tamura Japan
Chenming Wu China
Chunxu Yang China
Shengnan Ruan China
Qiqi Shi China
Seo Hee Nam South Korea
Quanhui Zheng China
Hala Elnakat Thomas United States
Aifen Wang relative to Zhao-na Yang China Zhao-na Yang's profile →
Citations per field
00.5×12×
Zhao-na Yang · 1×
Citations per year

Countries citing papers authored by Aifen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Aifen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2007151
2 200659
3 201934
4 202030
5 202320
6 20208
7 20187
8 20206
9 20236
10 20185
11 20124
12 20223
13 20212
14 20201
15 20121
16 20250
17 20120

About Aifen Wang

Aifen Wang is a scholar working on Oncology, Cancer Research, Computer Networks and Communications, Molecular Biology and Electrical and Electronic Engineering, having authored 17 papers that have together received 337 indexed citations. Recurring topics across this work include Wireless Communication Networks Research (3 papers), Cancer Genomics and Diagnostics (3 papers), Advanced Wireless Communication Techniques (3 papers), Genetic factors in colorectal cancer (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Pregnancy-related medical research (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Cell Biology (139 citations), Cancer Research (75 citations), Molecular Biology (198 citations), Geriatrics and Gerontology (11 citations) and Oncology (76 citations). Aifen Wang has collaborated with scholars based in China and United States. Frequent co-authors include Robert Clarke, Ayesha N. Shajahan‐Haq, Bianca Gomez, Anatasha Crawford, Yuelin J. Zhu, Alan Zwart, Mingyue Wang, Rebecca B. Riggins, Minetta C. Liu and Sen Lu. Their work appears in journals such as Journal of Clinical Oncology, Journal of Cancer Research and Clinical Oncology, Journal of Thoracic and Cardiovascular Surgery, Frontiers in Oncology and Prostate Cancer and Prostatic 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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