Daosen Jin

19 total papers · 552 total citations
13 papers, 508 citations indexed

About

Daosen Jin is a scholar working on Electronic, Optical and Magnetic Materials, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Daosen Jin has authored 13 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electronic, Optical and Magnetic Materials, 4 papers in Organic Chemistry and 4 papers in Molecular Biology. Recurrent topics in Daosen Jin's work include Organic and Molecular Conductors Research (7 papers), Lipid Membrane Structure and Behavior (4 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). Daosen Jin is often cited by papers focused on Organic and Molecular Conductors Research (7 papers), Lipid Membrane Structure and Behavior (4 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). Daosen Jin collaborates with scholars based in China. Daosen Jin's co-authors include Tadao Hakushi, Yoshihisa Inoue, Yu Liu, Baojian Shen, Lin-Hui Tong, Zhongqi Yao, Yufang Xiao, Lin-Hui Tong, Yuan‐Qi Yin and Fengyuan Yan and has published in prestigious journals such as Journal of the American Chemical Society, Langmuir and The Journal of Physical Chemistry.

In The Last Decade

Daosen Jin

13 papers receiving 476 citations

Author Peers

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

Author Last Decade Papers Cites
Daosen Jin 189 187 180 142 114 13 508
Ryszard Zarzycki 294 1.6× 192 1.0× 133 0.7× 87 0.6× 133 1.2× 18 545
Agam R. Sheth 100 0.5× 120 0.6× 325 1.8× 162 1.1× 54 0.5× 15 517
Lin-Hui Tong 176 0.9× 257 1.4× 154 0.9× 139 1.0× 106 0.9× 7 503
Shalini Nigam 203 1.1× 191 1.0× 182 1.0× 35 0.2× 130 1.1× 20 551
Gary McGeorge 79 0.4× 330 1.8× 255 1.4× 84 0.6× 52 0.5× 25 582
Marcela Tkadlecová 319 1.7× 310 1.7× 189 1.1× 46 0.3× 82 0.7× 38 616
D. Chapman 205 1.1× 109 0.6× 128 0.7× 29 0.2× 115 1.0× 24 614
Francis X. Muller 61 0.3× 95 0.5× 254 1.4× 196 1.4× 57 0.5× 15 462
Dimitris Mentzafos 200 1.1× 98 0.5× 162 0.9× 107 0.8× 84 0.7× 19 545
S. Breda 238 1.3× 67 0.4× 131 0.7× 80 0.6× 51 0.4× 20 558

Countries citing papers authored by Daosen Jin

Since Specialization
Citations

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

Fields of papers citing papers by Daosen Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daosen Jin

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