Yafan Wang

2.7k citations
39 papers · 762 · h-index 17

Impact in

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

Papers in

    • RNA modifications and cancer 4
    • Cancer therapeutics and mechanisms 3
    • 2D Materials and Applications 4
    • Advanced Thermoelectric Materials and Devices 3

Yafan Wang

36 papers receiving 749 citations

Peers

Yafan Wang
Comparison fields: 5 of 112
  • Cancer Research 184
  • Biomaterials 91
  • Oncology 169
  • Molecular Biology 408
  • Molecular Medicine 18
Replace Apurva K. Srivastava with:
Apurva K. Srivastava United States
Pengfei Jiang China
Jianming Chen China
Rui Huang China
Nikhil Tyagi United States
Jiahao Hu China
Dimas Carolina Belisario Italy
Yufeng Chen China
Wancheng Chen China
Weijun Su China
Yafan Wang relative to Apurva K. Srivastava United States Apurva K. Srivastava's profile →
Citations per field
00.5×1.5×2.2×
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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201384
2 201372
3 201556
4 201356
5 201453
6 201152
7 201451
8 201148
9 201534
10 201433
11 201432
12 201631
13 201523
14 200922
15 201621
16 201918
17 200316
18 20229
19 20217
20 20226

About Yafan Wang

Yafan Wang is a scholar working on Molecular Biology, Materials Chemistry, Cancer Research, Pulmonary and Respiratory Medicine and Control and Systems Engineering, having authored 39 papers that have together received 762 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (4 papers), RNA modifications and cancer (4 papers), 2D Materials and Applications (4 papers), Emotion and Mood Recognition (3 papers), Cancer therapeutics and mechanisms (3 papers), Ferroptosis and cancer prognosis (3 papers), Cancer-related molecular mechanisms research (3 papers) and Advanced Thermoelectric Materials and Devices (3 papers). The work is most often cited by research in Cancer Research (184 citations), Biomaterials (91 citations), Oncology (169 citations), Molecular Biology (408 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, Keqiang Zhang, Mark E. Davis, Terence T. Yen, Xiyong Liu and Yate‐Ching Yuan. Their work appears in journals such as Oncotarget, Cancer Research, Nanomedicine Nanotechnology Biology and Medicine, Clinical Cancer Research and Scientific Reports.

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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