Feng Bai

9.1k total citations · 1 hit paper
177 papers, 7.1k citations indexed

About

Feng Bai is a scholar working on Cognitive Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Feng Bai has authored 177 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cognitive Neuroscience, 48 papers in Molecular Biology and 40 papers in Physiology. Recurrent topics in Feng Bai's work include Functional Brain Connectivity Studies (63 papers), Alzheimer's disease research and treatments (37 papers) and Dementia and Cognitive Impairment Research (33 papers). Feng Bai is often cited by papers focused on Functional Brain Connectivity Studies (63 papers), Alzheimer's disease research and treatments (37 papers) and Dementia and Cognitive Impairment Research (33 papers). Feng Bai collaborates with scholars based in China, United States and United Kingdom. Feng Bai's co-authors include Zhijun Zhang, Yonggui Yuan, Xin‐Hai Pei, Yongmei Shi, Yue Xiong, Hui Yu, Fan Su, Ying Cheng, Heng Zhang and Kun‐Liang Guan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Feng Bai

169 papers receiving 7.0k citations

Hit Papers

TAZ Promotes Cell Proliferation and Epithelial-Mesenchyma... 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Feng Bai China 45 2.4k 2.2k 1.2k 1.1k 1.0k 177 7.1k
Markus J. Riemenschneider Germany 49 2.8k 1.1× 621 0.3× 609 0.5× 2.0k 1.8× 3.0k 2.9× 136 7.7k
Edward G. Stopa United States 53 2.4k 1.0× 858 0.4× 404 0.3× 482 0.5× 2.8k 2.7× 128 9.4k
Jerzy Węgiel United States 44 3.2k 1.3× 1.2k 0.5× 389 0.3× 1.2k 1.2× 4.5k 4.3× 122 9.1k
Édith Hamel Canada 59 3.5k 1.4× 1.6k 0.7× 882 0.8× 1.6k 1.5× 3.2k 3.0× 183 11.2k
Ole‐Bjørn Tysnes Norway 44 1.5k 0.6× 1.0k 0.5× 298 0.3× 1.1k 1.0× 1.4k 1.3× 192 8.3k
Paolo Bosco Italy 36 1.4k 0.6× 816 0.4× 344 0.3× 569 0.5× 866 0.8× 151 4.6k
Johannes Attems United Kingdom 57 2.3k 1.0× 702 0.3× 726 0.6× 2.6k 2.5× 5.2k 5.0× 190 11.0k
Wing‐Ho Yung Hong Kong 47 2.0k 0.8× 1.0k 0.5× 630 0.5× 185 0.2× 765 0.7× 180 7.3k
David Devos France 54 2.6k 1.1× 965 0.4× 313 0.3× 540 0.5× 926 0.9× 234 9.4k
Hidekazu Tomimoto Japan 55 2.1k 0.8× 506 0.2× 565 0.5× 860 0.8× 1.8k 1.7× 309 8.9k

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-authorship network of co-authors of Feng Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Bai. A scholar is included among the top collaborators of Feng Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng Bai. Feng Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Zhang, Xue, Lianlian Wang, Haifeng Chen, et al.. (2024). Prediction of clinical progression of subjective cognitive decline through alterations in morphology and structural covariance networks. Brain and Behavior. 14(2). 1 indexed citations
4.
Wang, Lianlian, Dandan Zhu, Ruomeng Qin, et al.. (2023). Retinal Alterations as Potential Biomarkers of Structural Brain Changes in Alzheimer’s Disease Spectrum Patients. Brain Sciences. 13(3). 460–460. 7 indexed citations
5.
Liu, Xiong, Feng Bai, Yuchan Wang, et al.. (2023). Loss of function of GATA3 regulates FRA1 and c-FOS to activate EMT and promote mammary tumorigenesis and metastasis. Cell Death and Disease. 14(6). 370–370. 21 indexed citations
6.
Che, Junyi, et al.. (2023). Treatment of Alzheimer's disease by microcapsule regulates neurotransmitter release via microfluidic technology. SHILAP Revista de lepidopterología. 4(2). 183–192. 9 indexed citations
7.
Li, Mengyun, Haifeng Chen, Lianlian Wang, et al.. (2023). Effects of Combined Intervention of rTMS and Neurotransmitter Drugs on the Brain Functional Networks in Patients with Cognitive Impairment. Brain Sciences. 13(3). 419–419. 3 indexed citations
8.
Li, Yanzhi, Zhengsheng Zhang, Feng Bai, et al.. (2017). Genetic variation in angiotensin converting-enzyme affects the white matter integrity and cognitive function of amnestic mild cognitive impairment patients. Journal of the Neurological Sciences. 380. 177–181. 6 indexed citations
9.
Ye, Qing, Fan Su, Hao Shu, et al.. (2017). Shared effects of the clusterin gene on the default mode network among individuals at risk for Alzheimer's disease. CNS Neuroscience & Therapeutics. 23(5). 395–404. 12 indexed citations
10.
Gong, Liang, Yingying Yin, Cancan He, et al.. (2016). Disrupted reward circuits is associated with cognitive deficits and depression severity in major depressive disorder. Journal of Psychiatric Research. 84. 9–17. 70 indexed citations
11.
Wang, Zan, Yonggui Yuan, Feng Bai, et al.. (2015). Altered functional connectivity networks of hippocampal subregions in remitted late-onset depression: a longitudinal resting-state study. Neuroscience Bulletin. 31(1). 13–21. 31 indexed citations
12.
Bai, Feng, Ho Lam Chan, Matthew D. Smith, et al.. (2014). BRCA1 Suppresses Epithelial-to-Mesenchymal Transition and Stem Cell Dedifferentiation during Mammary and Tumor Development. Cancer Research. 74(21). 6161–6172. 57 indexed citations
13.
Li, Bin, Dennis Liang Fei, Colin A. Flaveny, et al.. (2014). Pyrvinium Attenuates Hedgehog Signaling Downstream of Smoothened. Cancer Research. 74(17). 4811–4821. 65 indexed citations
14.
Zhang, Zhengsheng, Hui Yu, Yongmei Shi, et al.. (2012). Association of angiotensin-converting enzyme functional gene I/D polymorphism with amnestic mild cognitive impairment. Neuroscience Letters. 514(1). 131–135. 15 indexed citations
15.
Pei, Xin‐Hai, et al.. (2011). Cytoplasmic CUL9/PARC Ubiquitin Ligase Is a Tumor Suppressor and Promotes p53-Dependent Apoptosis. Cancer Research. 71(8). 2969–2977. 47 indexed citations
16.
Bai, Feng, Yongmei Shi, Yonggui Yuan, et al.. (2011). Altered self-referential network in resting-state amnestic type mild cognitive impairment. Cortex. 48(5). 604–613. 37 indexed citations
17.
Yuan, Yonggui, Zhenghua Hou, Zhijun Zhang, et al.. (2010). Abnormal Integrity of Long Association Fiber Tracts Is Associated With Cognitive Deficits in Patients With Remitted Geriatric Depression. The Journal of Clinical Psychiatry. 71(10). 1386–1390. 20 indexed citations
18.
Bai, Feng, Zhijun Zhang, Hui Jing Yu, et al.. (2008). Episodic memory recognition in mild cognitive impairment:a combined structural and functional magnetic resonance imaging study. Chin J Psychiatry. 41(1). 29–32. 1 indexed citations
19.
Pei, Xin‐Hai, Feng Bai, Matthew D. Smith, & Yue Xiong. (2007). p18 Ink4c Collaborates with Men1 to Constrain Lung Stem Cell Expansion and Suppress Non–Small-Cell Lung Cancers. Cancer Research. 67(7). 3162–3170. 34 indexed citations
20.
Bai, Feng, Xin‐Hai Pei, Toru Nishikawa, Matthew D. Smith, & Yue Xiong. (2006). p18 Ink4c , but Not p27 Kip1 , Collaborates with Men1 To Suppress Neuroendocrine Organ Tumors. Molecular and Cellular Biology. 27(4). 1495–1504. 47 indexed citations

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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