Xiaoli Tian

64 total papers · 2.0k total citations
34 papers, 1.5k citations indexed

About

Xiaoli Tian is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Xiaoli Tian has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Xiaoli Tian's work include Immune Response and Inflammation (4 papers), Diet and metabolism studies (3 papers) and Diet, Metabolism, and Disease (3 papers). Xiaoli Tian is often cited by papers focused on Immune Response and Inflammation (4 papers), Diet and metabolism studies (3 papers) and Diet, Metabolism, and Disease (3 papers). Xiaoli Tian collaborates with scholars based in China, United States and Japan. Xiaoli Tian's co-authors include Jane C. Deng, Genhong Cheng, Amir Ghaffari Jolfayi, Edward Kai‐Hua Chow, Arash Shahangian, Jason Kang, John A. Belperio, Arun Prakash, Zhenshuo Wang and Jishun Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Neuron.

In The Last Decade

Xiaoli Tian

32 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoli Tian 556 407 337 144 133 34 1.5k
Jan Tilmann Vollrath 551 1.0× 371 0.9× 229 0.7× 66 0.5× 110 0.8× 22 1.7k
Carlos J. Rosado 655 1.2× 218 0.5× 200 0.6× 232 1.6× 96 0.7× 22 1.8k
J. Moss 392 0.7× 251 0.6× 196 0.6× 136 0.9× 145 1.1× 71 1.4k
Pankaj Baral 380 0.7× 285 0.7× 209 0.6× 169 1.2× 89 0.7× 25 1.6k
Yufeng Gao 557 1.0× 316 0.8× 372 1.1× 63 0.4× 169 1.3× 75 1.8k
Hua Ding 769 1.4× 179 0.4× 177 0.5× 94 0.7× 152 1.1× 56 1.4k
Luiz Eduardo Baggio Savio 493 0.9× 293 0.7× 191 0.6× 70 0.5× 68 0.5× 65 1.7k
Gurminder Singh 789 1.4× 305 0.7× 288 0.9× 54 0.4× 100 0.8× 27 1.7k
Geethanjali Pickert 432 0.8× 662 1.6× 225 0.7× 87 0.6× 92 0.7× 21 1.7k
Jun Liu 873 1.6× 163 0.4× 231 0.7× 84 0.6× 99 0.7× 84 1.7k

Countries citing papers authored by Xiaoli Tian

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Tian

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