Xiaolong Shi

71 total papers · 869 total citations
41 papers, 667 citations indexed

About

Xiaolong Shi is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Xiaolong Shi has authored 41 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Plant Science and 6 papers in Cancer Research. Recurrent topics in Xiaolong Shi's work include Peanut Plant Research Studies (7 papers), Gene expression and cancer classification (6 papers) and Cancer-related molecular mechanisms research (4 papers). Xiaolong Shi is often cited by papers focused on Peanut Plant Research Studies (7 papers), Gene expression and cancer classification (6 papers) and Cancer-related molecular mechanisms research (4 papers). Xiaolong Shi collaborates with scholars based in China, Germany and Netherlands. Xiaolong Shi's co-authors include Xingbin Yang, Lingmin Tian, Yan Zhao, Jiao Zhu, Nianwu He, Linhong Yu, Rui Ma, Yadong Jiao, Dongying Wang and Yafei Liu and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiaolong Shi

38 papers receiving 656 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaolong Shi 246 223 85 84 77 41 667
Sankhadip Bose 213 0.9× 231 1.0× 56 0.7× 53 0.6× 118 1.5× 37 683
Lijuan Zhu 190 0.8× 342 1.5× 47 0.6× 54 0.6× 89 1.2× 36 746
Hiromichi Okuda 153 0.6× 297 1.3× 60 0.7× 101 1.2× 78 1.0× 28 716
Pingping Shang 188 0.8× 254 1.1× 54 0.6× 94 1.1× 32 0.4× 43 741
Seon‐A Jang 166 0.7× 385 1.7× 96 1.1× 53 0.6× 115 1.5× 52 714
Hyun Ji Eo 154 0.6× 379 1.7× 96 1.1× 128 1.5× 116 1.5× 58 734
Hakan Şentürk 129 0.5× 193 0.9× 130 1.5× 62 0.7× 112 1.5× 46 661
Eun‐Hwa Sohn 141 0.6× 409 1.8× 76 0.9× 72 0.9× 111 1.4× 45 769
Gang Xu 263 1.1× 248 1.1× 106 1.2× 51 0.6× 51 0.7× 31 778
Mi-Sun Kim 127 0.5× 247 1.1× 79 0.9× 80 1.0× 69 0.9× 29 780

Countries citing papers authored by Xiaolong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Shi

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