Shan Jin

35 total papers · 717 total citations
21 papers, 504 citations indexed

About

Shan Jin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Shan Jin has authored 21 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Genetics. Recurrent topics in Shan Jin's work include Genetics and Neurodevelopmental Disorders (5 papers), Microtubule and mitosis dynamics (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Shan Jin is often cited by papers focused on Genetics and Neurodevelopmental Disorders (5 papers), Microtubule and mitosis dynamics (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Shan Jin collaborates with scholars based in China, United States and Singapore. Shan Jin's co-authors include Yongqing Zhang, Zhiheng Xu, Qifu Wang, Ying Xiong, Zhihua Liu, Jiaxi Wu, Kai Zhao, Lei Geng, Wei Liu and Erjun Ling and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Shan Jin

20 papers receiving 497 citations

Author Peers

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

Author						Papers	Cites
Shan Jin	263	133	118	108	77	21	504
Marlène Cassar	162 0.6×	70 0.5×	125 1.1×	292 2.7×	79 1.0×	16	503
Berrak Uğur	298 1.1×	116 0.9×	67 0.6×	150 1.4×	51 0.7×	10	539
Gerassimos N. Pagoulatos	504 1.9×	93 0.7×	78 0.7×	132 1.2×	26 0.3×	16	609
Champakali Ayyub	156 0.6×	65 0.5×	62 0.5×	198 1.8×	70 0.9×	16	452
Gabriela Casanova	257 1.0×	59 0.4×	49 0.4×	117 1.1×	50 0.6×	33	583
Tadahiro Goda	169 0.6×	81 0.6×	78 0.7×	192 1.8×	42 0.5×	25	464
Imilce A. Rodriguez‐Fernandez	296 1.1×	105 0.8×	113 1.0×	107 1.0×	36 0.5×	11	605
Ralph Hillman	204 0.8×	52 0.4×	121 1.0×	216 2.0×	82 1.1×	23	480
Molee Chakraborty	217 0.8×	74 0.6×	101 0.9×	264 2.4×	34 0.4×	20	560
Elaine Seto	343 1.3×	186 1.4×	64 0.5×	138 1.3×	28 0.4×	12	519

Countries citing papers authored by Shan Jin

Since Specialization

Citations

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

Fields of papers citing papers by Shan Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Jin

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