Fen Pei

620 total citations
6 papers, 472 citations indexed

About

Fen Pei is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Fen Pei has authored 6 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Neurology. Recurrent topics in Fen Pei's work include Prion Diseases and Protein Misfolding (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Cellular transport and secretion (2 papers). Fen Pei is often cited by papers focused on Prion Diseases and Protein Misfolding (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Cellular transport and secretion (2 papers). Fen Pei collaborates with scholars based in United States and China. Fen Pei's co-authors include Guangbo Liu, Yong‐Yeon Cho, Jillian G. Buchan, Songnian Liu, Lingxiao Li, Feng Yang, Amit Dipak Amin, J. Ross Buchan, Daniela C. Zarnescu and Spencer Vaughan and has published in prestigious journals such as Nature Communications, Molecular and Cellular Biology and International Journal of Molecular Sciences.

In The Last Decade

Fen Pei

6 papers receiving 467 citations

Peers

Fen Pei
Fen Pei
Citations per year, relative to Fen Pei Fen Pei (= 1×) peers Boxian Zhao

Countries citing papers authored by Fen Pei

Since Specialization
Citations

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

Fields of papers citing papers by Fen Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fen Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Fen Pei. A scholar is included among the top collaborators of Fen Pei 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 Fen Pei. Fen Pei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Villali, Janice, et al.. (2020). Nucleation seed size determines amyloid clearance and establishes a barrier to prion appearance in yeast. Nature Structural & Molecular Biology. 27(6). 540–549. 19 indexed citations
2.
Liu, Guangbo, et al.. (2019). Cdc48/VCP and Endocytosis Regulate TDP-43 and FUS Toxicity and Turnover. Molecular and Cellular Biology. 40(4). 25 indexed citations
3.
Liu, Guangbo, Alyssa N. Coyne, Fen Pei, et al.. (2017). Endocytosis regulates TDP-43 toxicity and turnover. Nature Communications. 8(1). 2092–2092. 71 indexed citations
4.
Pei, Fen, Susanne DiSalvo, Suzanne Sindi, & Tricia R. Serio. (2017). A dominant-negative mutant inhibits multiple prion variants through a common mechanism. PLoS Genetics. 13(10). e1007085–e1007085. 10 indexed citations
5.
Liu, Guangbo, Fen Pei, Feng Yang, et al.. (2017). Role of Autophagy and Apoptosis in Non-Small-Cell Lung Cancer. International Journal of Molecular Sciences. 18(2). 367–367. 337 indexed citations
6.
Langlois, Christine, Fen Pei, Suzanne Sindi, & Tricia R. Serio. (2016). Distinct Prion Domain Sequences Ensure Efficient Amyloid Propagation by Promoting Chaperone Binding or Processing In Vivo. PLoS Genetics. 12(11). e1006417–e1006417. 10 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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