Xuebin Tian

26 total papers · 477 total citations
20 papers, 310 citations indexed

About

Xuebin Tian is a scholar working on Infectious Diseases, Molecular Medicine and Molecular Biology. According to data from OpenAlex, Xuebin Tian has authored 20 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 11 papers in Molecular Medicine and 10 papers in Molecular Biology. Recurrent topics in Xuebin Tian's work include Antibiotic Resistance in Bacteria (11 papers), Bacterial biofilms and quorum sensing (7 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). Xuebin Tian is often cited by papers focused on Antibiotic Resistance in Bacteria (11 papers), Bacterial biofilms and quorum sensing (7 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). Xuebin Tian collaborates with scholars based in China, United States and Australia. Xuebin Tian's co-authors include Tieli Zhou, Renchi Fang, Xiangkuo Zheng, Jianming Cao, Jie Lin, Xiucai Zhang, Siqin Zhang, Nanping Wu, Yao Sun and Xiaodi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Xuebin Tian

18 papers receiving 305 citations

Author Peers

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

Author Last Decade Papers Cites
Xuebin Tian 146 96 91 52 44 20 310
C. Recule 150 1.0× 97 1.0× 77 0.8× 101 1.9× 52 1.2× 21 327
Ilaria Baccani 165 1.1× 76 0.8× 85 0.9× 83 1.6× 51 1.2× 18 334
Paola Ceriana 131 0.9× 48 0.5× 82 0.9× 43 0.8× 45 1.0× 16 239
Erika Kocsis 152 1.0× 82 0.9× 85 0.9× 48 0.9× 41 0.9× 18 297
Ji-Young Choi 180 1.2× 92 1.0× 48 0.5× 59 1.1× 45 1.0× 23 302
Piotr Majewski 165 1.1× 56 0.6× 56 0.6× 46 0.9× 42 1.0× 35 330
Fernando Lázaro‐Perona 129 0.9× 73 0.8× 61 0.7× 36 0.7× 26 0.6× 23 222
Anne Dubouix 171 1.2× 98 1.0× 78 0.9× 43 0.8× 48 1.1× 12 328
Francis Yesurajan Inbanathan 160 1.1× 90 0.9× 65 0.7× 63 1.2× 25 0.6× 13 306
Katarzyna Zacharczuk 136 0.9× 128 1.3× 48 0.5× 46 0.9× 48 1.1× 31 306

Countries citing papers authored by Xuebin Tian

Since Specialization
Citations

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

Fields of papers citing papers by Xuebin Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuebin Tian

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