Yafan Wang

2.7k citations
42 papers · 792 · h-index 17

Impact in

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

Papers in

    • RNA modifications and cancer 3
    • Wnt/β-catenin signaling in development and cancer 2
    • 2D Materials and Applications 4
    • Advanced Thermoelectric Materials and Devices 3

Yafan Wang

40 papers receiving 780 citations

Peers

Yafan Wang
Comparison fields: 5 of 115
  • Cancer Research 160
  • Biomaterials 86
  • Oncology 141
  • Molecular Biology 371
  • Molecular Medicine 18
Replace Apurva K. Srivastava with:
Apurva K. Srivastava United States
Rui Huang China
Jianming Chen China
Nikhil Tyagi United States
Jiahao Hu China
Wancheng Chen China
Octavio Caba Spain
Qing Shi China
Qifei Wu China
Yufeng Chen China
Yafan Wang relative to Apurva K. Srivastava United States Apurva K. Srivastava's profile →
Citations per field
00.5×1.5×2.3×
Apurva K. Srivastava · 1×
Citations per year

Countries citing papers authored by Yafan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yafan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201384
2 201374
3 201356
4 201556
5 201454
6 201452
7 201151
8 201148
9 201535
10 201433
11 201432
12 201632
13 201623
14 201523
15 200922
16 201918
17 200316
18 202210
19 20159
20 20228

About Yafan Wang

Yafan Wang is a scholar working on Molecular Biology, Materials Chemistry, Control and Systems Engineering, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 792 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (5 papers), 2D Materials and Applications (4 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Ferroptosis and cancer prognosis (3 papers), Emotion and Mood Recognition (3 papers), RNA modifications and cancer (3 papers), Advanced Thermoelectric Materials and Devices (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cancer Research (160 citations), Biomaterials (86 citations), Oncology (141 citations), Molecular Biology (371 citations) and Molecular Medicine (18 citations). Yafan Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yun Yen, Shikha Gaur, Peiguo Chu, Linling Chen, Xiwei Wu, Terence T. Yen, Xiyong Liu, Feng Lü, Keqiang Zhang and Mark E. Davis. Their work appears in journals such as Oncotarget, Energies, Nanomedicine Nanotechnology Biology and Medicine, Cancer Research and Gene.

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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