Shaojun Tian

13 total papers · 679 total citations
13 papers, 528 citations indexed

About

Shaojun Tian is a scholar working on Food Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Shaojun Tian has authored 13 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Food Science, 6 papers in Molecular Biology and 3 papers in Nutrition and Dietetics. Recurrent topics in Shaojun Tian's work include Proteins in Food Systems (9 papers), Food Chemistry and Fat Analysis (4 papers) and Lipid Membrane Structure and Behavior (3 papers). Shaojun Tian is often cited by papers focused on Proteins in Food Systems (9 papers), Food Chemistry and Fat Analysis (4 papers) and Lipid Membrane Structure and Behavior (3 papers). Shaojun Tian collaborates with scholars based in China and Australia. Shaojun Tian's co-authors include Xiaoyang Sun, Lifen Zhang, Darryl M. Small, Guolong Yang, Xingfeng Guo, Fusheng Chen, Jie Chen, Jiahui Shi, Feng Zuo-shan and Yan‐Hong Wang and has published in prestigious journals such as Food Chemistry, Journal of the Science of Food and Agriculture and LWT.

In The Last Decade

Shaojun Tian

13 papers receiving 516 citations

Author Peers

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

Author Last Decade Papers Cites
Shaojun Tian 327 187 103 86 71 13 528
Dingkui Qin 313 1.0× 84 0.4× 89 0.9× 90 1.0× 81 1.1× 21 542
Nan Lv 236 0.7× 182 1.0× 67 0.7× 69 0.8× 37 0.5× 23 527
Esra Gençdağ 327 1.0× 235 1.3× 98 1.0× 100 1.2× 52 0.7× 19 574
Mostafa Ali 295 0.9× 154 0.8× 92 0.9× 88 1.0× 46 0.6× 20 471
Wenjie Wang 228 0.7× 115 0.6× 88 0.9× 87 1.0× 94 1.3× 14 490
Noelia L. Vanden Braber 251 0.8× 153 0.8× 45 0.4× 76 0.9× 142 2.0× 16 498
Ji-Soo Lee 212 0.6× 214 1.1× 83 0.8× 51 0.6× 124 1.7× 18 605
Peiyuan Zhou 343 1.0× 89 0.5× 128 1.2× 118 1.4× 54 0.8× 22 486
Risheng Jin 230 0.7× 135 0.7× 97 0.9× 87 1.0× 34 0.5× 24 606
Siduo Zhou 341 1.0× 187 1.0× 96 0.9× 128 1.5× 37 0.5× 18 592

Countries citing papers authored by Shaojun Tian

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Tian

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