Qin Shan

20 total papers · 481 total citations
6 papers, 353 citations indexed

About

Qin Shan is a scholar working on Molecular Biology, Nature and Landscape Conservation and Cellular and Molecular Neuroscience. According to data from OpenAlex, Qin Shan has authored 6 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Nature and Landscape Conservation and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Qin Shan's work include Receptor Mechanisms and Signaling (3 papers), Neurotransmitter Receptor Influence on Behavior (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Qin Shan is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Neurotransmitter Receptor Influence on Behavior (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Qin Shan collaborates with scholars based in United States and Canada. Qin Shan's co-authors include Lee E. Schechter, Brian J. Platt, Albert J. Robichaud, Derek C. Cole, Qian Lin, Chad E. Beyer, Lee A. Dawson, Deborah L. Smith, Guoming Zhang and Sharon Rosenzweig‐Lipson and has published in prestigious journals such as Brain Research, Biochemical and Biophysical Research Communications and Neuropsychopharmacology.

In The Last Decade

Qin Shan

6 papers receiving 344 citations

Author Peers

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

Author						Papers	Cites
Qin Shan	195	150	46	33	33	6	353
Ruben Isacson	173 0.9×	122 0.8×	18 0.4×	38 1.2×	23 0.7×	7	402
Moshe Gavish	164 0.8×	193 1.3×	17 0.4×	14 0.4×	38 1.2×	14	355
Marek Pytliak	113 0.6×	103 0.7×	28 0.6×	53 1.6×	28 0.8×	8	354
Atsushi Nakatani	208 1.1×	129 0.9×	23 0.5×	28 0.8×	15 0.5×	14	327
Travis J. Morgenstern	179 0.9×	122 0.8×	32 0.7×	11 0.3×	21 0.6×	11	310
Kelly Connolly	135 0.7×	140 0.9×	72 1.6×	13 0.4×	22 0.7×	13	310
Yoko Matsuoka	136 0.7×	58 0.4×	75 1.6×	18 0.5×	13 0.4×	7	344
Wen-Shuo Geng	189 1.0×	100 0.7×	20 0.4×	16 0.5×	12 0.4×	7	381
Kanji Endoh	206 1.1×	91 0.6×	24 0.5×	24 0.7×	47 1.4×	7	403
Atsuko Kushi	118 0.6×	108 0.7×	50 1.1×	29 0.9×	22 0.7×	12	360

Countries citing papers authored by Qin Shan

Since Specialization

Citations

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

Fields of papers citing papers by Qin Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Shan. A scholar is included among the top collaborators of Qin Shan 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 Qin Shan. Qin Shan 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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