Yanfen Teng

423 total citations
8 papers, 348 citations indexed

About

Yanfen Teng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Yanfen Teng has authored 8 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Yanfen Teng's work include Nicotinic Acetylcholine Receptors Study (6 papers), Ubiquitin and proteasome pathways (4 papers) and Cellular transport and secretion (3 papers). Yanfen Teng is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (6 papers), Ubiquitin and proteasome pathways (4 papers) and Cellular transport and secretion (3 papers). Yanfen Teng collaborates with scholars based in United States, India and Argentina. Yanfen Teng's co-authors include Mariella De Biasi, Khosrow Rezvani, David Shim, John A. Dani, David Gangitano, Ramiro Salas, Dang Q. Dao, Eduardo García Gras, J. Michael McIntosh and Jon Lindstrom and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurochemistry and Biochemical Pharmacology.

In The Last Decade

Yanfen Teng

8 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanfen Teng United States 8 251 122 42 32 28 8 348
Gillian Seaton United Kingdom 9 248 1.0× 101 0.8× 101 2.4× 50 1.6× 30 1.1× 11 431
Anju A. Roy Canada 8 543 2.2× 146 1.2× 59 1.4× 34 1.1× 34 1.2× 8 635
Patrik Hollós Finland 8 169 0.7× 86 0.7× 87 2.1× 60 1.9× 7 0.3× 9 339
Derek N. Robertson United Kingdom 12 277 1.1× 255 2.1× 43 1.0× 31 1.0× 30 1.1× 15 398
Allisa J. Song United States 4 247 1.0× 198 1.6× 12 0.3× 29 0.9× 12 0.4× 9 358
S.M. Foord United Kingdom 13 302 1.2× 263 2.2× 12 0.3× 41 1.3× 44 1.6× 19 553
Lynn Zhang United States 7 211 0.8× 120 1.0× 45 1.1× 20 0.6× 20 0.7× 9 389
Vania De Arcangelis United States 15 423 1.7× 121 1.0× 49 1.2× 16 0.5× 27 1.0× 15 587
Qin Shan United States 5 197 0.8× 151 1.2× 13 0.3× 13 0.4× 17 0.6× 6 355
Richard Einstein United States 11 288 1.1× 120 1.0× 44 1.0× 18 0.6× 23 0.8× 19 481

Countries citing papers authored by Yanfen Teng

Since Specialization
Citations

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

Fields of papers citing papers by Yanfen Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanfen Teng

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

All Works

8 of 8 papers shown
1.
Evison, Benny J., James T. Palmer, Gilles Lambert, et al.. (2020). A small molecule inhibitor of PCSK9 that antagonizes LDL receptor binding via interaction with a cryptic PCSK9 binding groove. Bioorganic & Medicinal Chemistry. 28(6). 115344–115344. 36 indexed citations
2.
Teng, Yanfen, Khosrow Rezvani, & Mariella De Biasi. (2015). UBXN2A regulates nicotinic receptor degradation by modulating the E3 ligase activity of CHIP. Biochemical Pharmacology. 97(4). 518–530. 16 indexed citations
3.
Dao, Dang Q., et al.. (2014). Nicotine Enhances Excitability of Medial Habenular Neurons via Facilitation of Neurokinin Signaling. Journal of Neuroscience. 34(12). 4273–4284. 45 indexed citations
4.
Rezvani, Khosrow, Yanfen Teng, Maureen Mee, et al.. (2012). Proteasomal degradation of the metabotropic glutamate receptor 1α is mediated by Homer‐3 via the proteasomal S8 ATPase. Journal of Neurochemistry. 122(1). 24–37. 18 indexed citations
5.
Rezvani, Khosrow, Yanfen Teng, Yaping Pan, et al.. (2009). UBXD4, a UBX-Containing Protein, Regulates the Cell Surface Number and Stability of α3-Containing Nicotinic Acetylcholine Receptors. Journal of Neuroscience. 29(21). 6883–6896. 40 indexed citations
6.
Gangitano, David, et al.. (2009). Progesterone modulation of α5 nAChR subunits influences anxiety‐related behavior during estrus cycle. Genes Brain & Behavior. 8(4). 398–406. 61 indexed citations
7.
Rezvani, Khosrow, Yanfen Teng, & Mariella De Biasi. (2009). The Ubiquitin–Proteasome System Regulates the Stability of Neuronal Nicotinic Acetylcholine Receptors. Journal of Molecular Neuroscience. 40(1-2). 177–184. 38 indexed citations
8.
Rezvani, Khosrow, Yanfen Teng, David Shim, & Mariella De Biasi. (2007). Nicotine Regulates Multiple Synaptic Proteins by Inhibiting Proteasomal Activity. Journal of Neuroscience. 27(39). 10508–10519. 94 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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