Fang Wang

29.7k citations
735 papers · 20.8k · 2 hit papers · h-index 67

Impact in

Papers in

Fang Wang

707 papers receiving 20.5k citations

Fang Wang's Hit Papers

The m6A reader YTHDF1 promotes ovarian cancer progression via augmenting EIF3C translation 2020 · 543 citations
5430+4+9Years since publication2505007501000

Peers

Fang Wang
Comparison fields: 5 of 184
  • Biological Psychiatry 942
  • Geriatrics and Gerontology 887
  • Neurology 1.5k
  • Behavioral Neuroscience 618
  • Aging 238
Replace Pál Pacher with:
Pál Pacher United States
Antonio Cuadrado Spain
P. Hemachandra Reddy United States
Ralph N. Martins Australia
Jiankang Liu China
David G. Harrison United States
Lan Tan China
Jin‐Tai Yu China
Antero Salminen Finland
Xiongwei Zhu United States
Fang Wang relative to Pál Pacher United States Pál Pacher's profile →
Citations per field
00.5×3.1×
Pál Pacher · 1×
Citations per year

Countries citing papers authored by Fang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 735 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Programmed cell death pathways in cancer: a review of apoptosis, autophagy and programmed necrosis
Hit paper breakdown →
20121153
2
The m6A reader YTHDF1 promotes ovarian cancer progression via augmenting EIF3C translation
Hit paper breakdown →
2020543
3 2005423
4 2005285
5 2005283
6 2017272
7 2013235
8 2016220
9 2012212
10 2009200
11 2006194
12 2012186
13 2010160
14 2020139
15 2017133
16 2012128
17 2020124
18 2012123
19 2017123
20 2010119

About Fang Wang

Fang Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology and Cardiology and Cardiovascular Medicine, having authored 735 papers that have together received 20.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (62 papers), Neuroinflammation and Neurodegeneration Mechanisms (40 papers), Ion channel regulation and function (33 papers), Autophagy in Disease and Therapy (28 papers), Epigenetics and DNA Methylation (25 papers), Tryptophan and brain disorders (25 papers), Sulfur Compounds in Biology (23 papers) and RNA modifications and cancer (23 papers). The work is most often cited by research in Biological Psychiatry (942 citations), Geriatrics and Gerontology (887 citations), Neurology (1.5k citations), Behavioral Neuroscience (618 citations) and Aging (238 citations). Fang Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianguo Chen, Zhuang‐Li Hu, B. Liu, Ji Bao, Zhihong Shi, Shenglin Zhao, Tingting Zhou, Jingyu Yang, Chunfu Wu and Li‐Hong Long. Their work appears in journals such as PLoS ONE, Scientific Reports, Frontiers in Pharmacology, CNS Neuroscience & Therapeutics and Biological Psychiatry.

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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