Lin Pei

19 total papers · 450 total citations
12 papers, 364 citations indexed

About

Lin Pei is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Lin Pei has authored 12 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Pharmacology. Recurrent topics in Lin Pei's work include Receptor Mechanisms and Signaling (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Lin Pei is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Lin Pei collaborates with scholars based in China, Canada and United States. Lin Pei's co-authors include Paul Fletcher, Fang Liu, Shupeng Li, Mustansir Diwan, Hymie Anisman, Min Wang, José N. Nóbrega, Shitij Kapur, Philip Seeman and Min Wang and has published in prestigious journals such as Nature Medicine, The Journal of Experimental Medicine and Molecules.

In The Last Decade

Lin Pei

12 papers receiving 363 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lin Pei	218	201	47	40	32	12	364
Christopher Cottingham	182 0.8×	163 0.8×	50 1.1×	42 1.1×	41 1.3×	18	336
Kenichi Kakefuda	201 0.9×	116 0.6×	57 1.2×	21 0.5×	66 2.1×	12	399
Kuo‐peing Liu	242 1.1×	201 1.0×	36 0.8×	22 0.6×	31 1.0×	11	393
Natsuko Narita	240 1.1×	199 1.0×	73 1.6×	60 1.5×	40 1.3×	12	351
F Thuret	191 0.9×	279 1.4×	30 0.6×	43 1.1×	36 1.1×	18	376
B. Grimaldi	185 0.8×	214 1.1×	37 0.8×	25 0.6×	48 1.5×	19	400
Tsuyoshi Ishima	158 0.7×	194 1.0×	52 1.1×	46 1.1×	43 1.3×	19	388
Bernadett K. Szász	153 0.7×	212 1.1×	53 1.1×	72 1.8×	70 2.2×	11	361
Roberto Narducci	136 0.6×	129 0.6×	35 0.7×	47 1.2×	24 0.8×	17	317
Vesna Lazarevic	167 0.8×	163 0.8×	49 1.0×	56 1.4×	74 2.3×	12	400

Countries citing papers authored by Lin Pei

Since Specialization

Citations

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

Fields of papers citing papers by Lin Pei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Pei

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

All Works

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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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