Kangxin Jin

56 total papers · 951 total citations
37 papers, 675 citations indexed

About

Kangxin Jin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ophthalmology. According to data from OpenAlex, Kangxin Jin has authored 37 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 7 papers in Ophthalmology. Recurrent topics in Kangxin Jin's work include Retinal Development and Disorders (23 papers), CRISPR and Genetic Engineering (8 papers) and Photoreceptor and optogenetics research (6 papers). Kangxin Jin is often cited by papers focused on Retinal Development and Disorders (23 papers), CRISPR and Genetic Engineering (8 papers) and Photoreceptor and optogenetics research (6 papers). Kangxin Jin collaborates with scholars based in China, United States and United Kingdom. Kangxin Jin's co-authors include Mengqing Xiang, Haisong Jiang, Min Zou, Dongchang Xiao, Shengguo Li, Zi‐Bing Jin, Zeqian Mo, Xinghua Zhu, Xu Li and Shuting Liu 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

Kangxin Jin

37 papers receiving 670 citations

Author Peers

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

Author Last Decade Papers Cites
Kangxin Jin 502 145 84 80 67 37 675
Sarah Decembrini 618 1.2× 238 1.6× 152 1.8× 64 0.8× 51 0.8× 18 771
Kuyaş Buğra 387 0.8× 177 1.2× 96 1.1× 84 1.1× 23 0.3× 17 588
Kamla Dutt 469 0.9× 133 0.9× 209 2.5× 61 0.8× 35 0.5× 34 739
Connor Finkbeiner 533 1.1× 129 0.9× 90 1.1× 46 0.6× 38 0.6× 13 591
Jimmy de Melo 645 1.3× 194 1.3× 93 1.1× 105 1.3× 33 0.5× 18 752
Anna Duarri 612 1.2× 299 2.1× 62 0.7× 54 0.7× 35 0.5× 28 774
Thanh Hoang 689 1.4× 113 0.8× 149 1.8× 76 0.9× 19 0.3× 20 786
Koray Dogan Kaya 666 1.3× 262 1.8× 109 1.3× 49 0.6× 67 1.0× 15 741
Marek Pacal 491 1.0× 94 0.6× 219 2.6× 73 0.9× 24 0.4× 19 687
Mitsuko Kosaka 468 0.9× 109 0.8× 35 0.4× 42 0.5× 44 0.7× 31 579

Countries citing papers authored by Kangxin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Kangxin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangxin Jin

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