Haixia Shan

34 total papers · 726 total citations
21 papers, 651 citations indexed

About

Haixia Shan is a scholar working on Catalysis, Molecular Biology and Analytical Chemistry. According to data from OpenAlex, Haixia Shan has authored 21 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Catalysis, 7 papers in Molecular Biology and 6 papers in Analytical Chemistry. Recurrent topics in Haixia Shan's work include Ionic liquids properties and applications (8 papers), Analytical chemistry methods development (6 papers) and Asymmetric Hydrogenation and Catalysis (5 papers). Haixia Shan is often cited by papers focused on Ionic liquids properties and applications (8 papers), Analytical chemistry methods development (6 papers) and Asymmetric Hydrogenation and Catalysis (5 papers). Haixia Shan collaborates with scholars based in China. Haixia Shan's co-authors include Zaijun Li, Feng Li, Chunlou Sun, Ming Li, Feng Li, Lin Chen, Rui Yuan, Qin Wei, Qijun Song and Huizhen Liu and has published in prestigious journals such as Chemical Communications, RSC Advances and Talanta.

In The Last Decade

Haixia Shan

20 papers receiving 643 citations

Author Peers

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

Author Last Decade Papers Cites
Haixia Shan 279 256 150 146 145 21 651
Christoph J. Dürr 111 0.4× 294 1.1× 91 0.6× 53 0.4× 64 0.4× 14 608
Alireza Banaei 83 0.3× 257 1.0× 109 0.7× 58 0.4× 29 0.2× 40 630
Megumi Hamano Nagaoka 302 1.1× 194 0.8× 58 0.4× 77 0.5× 63 0.4× 15 788
Dominik Wechsler 102 0.4× 215 0.8× 93 0.6× 21 0.1× 114 0.8× 14 611
Xue Liu 252 0.9× 339 1.3× 44 0.3× 59 0.4× 50 0.3× 40 745
Rahim Hosseinzadeh‐Khanmiri 227 0.8× 337 1.3× 118 0.8× 38 0.3× 11 0.1× 31 729
Michel Ferreira 106 0.4× 334 1.3× 23 0.2× 86 0.6× 190 1.3× 32 686
Kandasamy G. Moodley 162 0.6× 254 1.0× 31 0.2× 94 0.6× 60 0.4× 36 604
Esmael Sanchooli 94 0.3× 109 0.4× 201 1.3× 145 1.0× 22 0.2× 29 635
M. Lemaire 160 0.6× 438 1.7× 100 0.7× 39 0.3× 25 0.2× 17 704

Countries citing papers authored by Haixia Shan

Since Specialization
Citations

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

Fields of papers citing papers by Haixia Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixia Shan

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