Feng Bai

172 papers receiving 7.1k citations

Feng Bai's Hit Papers

TAZ Promotes Cell Proliferation and Epithelial-Mesenchymal Transition and Is Inhibited by the Hippo Pathway 2008 · 790 citations
7900+6+12Years since publication250500750

Peers

Feng Bai
Comparison fields: 5 of 148
  • Cognitive Neuroscience 1.9k
  • Biological Psychiatry 213
  • Neurology 502
  • Psychiatry and Mental health 833
  • Cell Biology 811
Replace Andreas Jeromin with:
Andreas Jeromin United States
Jerzy Węgiel United States
Wing‐Ho Yung Hong Kong
Thomas Arzberger Germany
Frances E. Jensen United States
James J. Lah United States
Akiyoshi Kakita Japan
Xiaoning Han China
Roland N. Auer Canada
Feng Bai relative to Andreas Jeromin United States Andreas Jeromin's profile →
Citations per field
00.5×3.1×
Andreas Jeromin · 1×
Citations per year

Countries citing papers authored by Feng Bai

Since Specialization
Citations

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

Fields of papers citing papers by Feng Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TAZ Promotes Cell Proliferation and Epithelial-Mesenchymal Transition and Is Inhibited by the Hippo Pathway
Hit paper breakdown →
2008790
2 2012462
3 2012267
4 2020250
5 2008212
6 2018182
7 2016178
8 2009169
9 2008152
10 2012144
11 2010125
12 2013121
13 2008110
14 2008109
15 201493
16 199983
17 200383
18 201180
19 199879
20 200977

About Feng Bai

Feng Bai is a scholar working on Cognitive Neuroscience, Molecular Biology, Physiology, Psychiatry and Mental health and Oncology, having authored 180 papers that have together received 7.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (56 papers), Alzheimer's disease research and treatments (29 papers), Dementia and Cognitive Impairment Research (24 papers), Advanced Neuroimaging Techniques and Applications (14 papers), Cancer-related Molecular Pathways (12 papers), Advanced MRI Techniques and Applications (10 papers), Renin-Angiotensin System Studies (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Biological Psychiatry (213 citations), Neurology (502 citations), Psychiatry and Mental health (833 citations) and Cell Biology (811 citations). Feng Bai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhijun Zhang, Yonggui Yuan, Xin‐Hai Pei, Yongmei Shi, Yue Xiong, Hui Yu, Fan Su, David R. Watson, Ying Cheng and Kun‐Liang Guan. Their work appears in journals such as Behavioural Brain Research, Oncotarget, Molecular and Cellular Biology, Journal of Alzheimer s Disease and Cancer Research.

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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