Renbing Tian

26 total papers · 632 total citations
25 papers, 524 citations indexed

About

Renbing Tian is a scholar working on Materials Chemistry, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Renbing Tian has authored 25 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 11 papers in Biomedical Engineering and 10 papers in Biomaterials. Recurrent topics in Renbing Tian's work include Nanoparticle-Based Drug Delivery (10 papers), Graphene and Nanomaterials Applications (8 papers) and Gas Sensing Nanomaterials and Sensors (6 papers). Renbing Tian is often cited by papers focused on Nanoparticle-Based Drug Delivery (10 papers), Graphene and Nanomaterials Applications (8 papers) and Gas Sensing Nanomaterials and Sensors (6 papers). Renbing Tian collaborates with scholars based in China, United Kingdom and United States. Renbing Tian's co-authors include Wei Jiang, Juan Wu, Suting Zhong, Peng Ji, Tianhe Wang, Jinghua Sun, Hua Zheng, Shanshan Xu, Xuefeng Hu and Wei Zhang and has published in prestigious journals such as Journal of Materials Chemistry A, Sensors and Sensors and Actuators B Chemical.

In The Last Decade

Renbing Tian

25 papers receiving 512 citations

Author Peers

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

Author Last Decade Papers Cites
Renbing Tian 292 220 152 107 68 25 524
Gomathi Nageswaran 167 0.6× 134 0.6× 213 1.4× 89 0.8× 33 0.5× 21 518
Kheyanath Mitra 233 0.8× 106 0.5× 184 1.2× 101 0.9× 35 0.5× 33 518
Dorota Flak 248 0.8× 173 0.8× 110 0.7× 90 0.8× 26 0.4× 22 565
Dina F. Katowah 126 0.4× 122 0.6× 218 1.4× 39 0.4× 82 1.2× 41 585
David Hazafy 168 0.6× 114 0.5× 99 0.7× 79 0.7× 80 1.2× 15 487
B. Donkova 391 1.3× 146 0.7× 173 1.1× 70 0.7× 17 0.3× 23 610
Maryam Tohidi 215 0.7× 155 0.7× 319 2.1× 31 0.3× 104 1.5× 29 598
Abraham Daniel Arulraj 181 0.6× 127 0.6× 313 2.1× 32 0.3× 113 1.7× 25 581
Hao Gou 205 0.7× 74 0.3× 172 1.1× 41 0.4× 29 0.4× 25 450
Min Wang 144 0.5× 165 0.8× 247 1.6× 22 0.2× 65 1.0× 32 568

Countries citing papers authored by Renbing Tian

Since Specialization
Citations

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

Fields of papers citing papers by Renbing Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renbing Tian

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