Fangyan Wang

3.7k citations
61 papers · 2.9k · 1 hit paper · h-index 24

Impact in

Papers in

Fangyan Wang

59 papers receiving 2.9k citations

Fangyan Wang's Hit Papers

Fecal microbiota transplantation alleviated Alzheimer’s disease-like pathogenesis in APP/PS1 transgenic mice 2019 · 388 citations
3880+2+4Years since publication100200300

Peers

Fangyan Wang
Comparison fields: 5 of 113
  • Biological Psychiatry 777
  • Neurology 337
  • Gastroenterology 200
  • Physiology 914
  • Molecular Biology 1.9k
Replace Parag Kundu with:
Parag Kundu Singapore
Viorica Braniste France
Taren Thron United States
Harriet E. Nilsson Sweden
Agata Korecka Sweden
Boushra Dalile Belgium
Nadja Bakočević Singapore
Omid Reza Tamtaji Iran
Bhanu Priya Ganesh United States
Fangyan Wang relative to Parag Kundu Singapore Parag Kundu's profile →
Citations per field
00.5×1.5×
Parag Kundu · 1×
Citations per year

Countries citing papers authored by Fangyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fangyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fecal microbiota transplantation alleviated Alzheimer’s disease-like pathogenesis in APP/PS1 transgenic mice
Hit paper breakdown →
2019388
2 2019236
3 2019216
4 2015187
5 2017171
6 2015153
7 2016142
8 2018126
9 2016123
10 2019120
11 2016117
12 201791
13 201584
14 201575
15 201551
16 201839
17 201738
18 202438
19 202238
20 202330

About Fangyan Wang

Fangyan Wang is a scholar working on Molecular Biology, Surgery, Epidemiology, Neurology and Physiology, having authored 61 papers that have together received 2.9k indexed citations. Recurring topics across this work include Gut microbiota and health (12 papers), Neurological Disease Mechanisms and Treatments (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Helicobacter pylori-related gastroenterology studies (6 papers), MicroRNA in disease regulation (6 papers), Tryptophan and brain disorders (5 papers), Diet, Metabolism, and Disease (5 papers) and Biochemical effects in animals (4 papers). The work is most often cited by research in Biological Psychiatry (777 citations), Neurology (337 citations), Gastroenterology (200 citations), Physiology (914 citations) and Molecular Biology (1.9k citations). Fangyan Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiaming Liu, Jing Sun, Zongxin Ling, Tianyu Gong, Jing‐Xuan Xu, Changwei Yang, Jiangtao Jin, Junjie Yu, Huiqing Zhang and Renchi Fang. Their work appears in journals such as Frontiers in Nutrition, APL Materials, BMC Complementary Medicine and Therapies, Frontiers in Medicine and Biological and Pharmaceutical Bulletin.

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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