Lili Tian

265 total papers · 5.9k total citations
187 papers, 4.4k citations indexed

About

Lili Tian is a scholar working on Statistics and Probability, Molecular Biology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Lili Tian has authored 187 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Statistics and Probability, 35 papers in Molecular Biology and 26 papers in Statistics, Probability and Uncertainty. Recurrent topics in Lili Tian's work include Statistical Methods and Inference (29 papers), Statistical Methods and Bayesian Inference (23 papers) and Statistical Methods in Clinical Trials (22 papers). Lili Tian is often cited by papers focused on Statistical Methods and Inference (29 papers), Statistical Methods and Bayesian Inference (23 papers) and Statistical Methods in Clinical Trials (22 papers). Lili Tian collaborates with scholars based in United States, China and Canada. Lili Tian's co-authors include Charlene Krueger, Jingjing Yin, Lora Humphrey Beebe, Donald L. Trump, Hongwei Zhao, Jianrong Wu, Susan D. Schaffer, Le Kang, Govind S. Mudholkar and Candace S. Johnson and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Lili Tian

179 papers receiving 4.3k citations

Hit Papers

Simultaneous nanocatalyti... 2022 2026 2023 2024 2022 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Lili Tian 806 698 373 328 312 187 4.4k
Jialiang Li 900 1.1× 916 1.3× 146 0.4× 90 0.3× 195 0.6× 292 5.8k
Michael Gardner 264 0.3× 922 1.3× 79 0.2× 485 1.5× 116 0.4× 136 6.2k
David B. Richardson 501 0.6× 272 0.4× 355 1.0× 37 0.1× 160 0.5× 239 7.4k
Duncan C. Thomas 1.3k 1.6× 2.0k 2.8× 1.0k 2.8× 33 0.1× 424 1.4× 232 14.0k
Matteo Bottai 628 0.8× 758 1.1× 325 0.9× 64 0.2× 488 1.6× 349 11.6k
Bhramar Mukherjee 556 0.7× 1.4k 2.0× 839 2.2× 114 0.3× 719 2.3× 390 12.0k
Amy H. Herring 460 0.6× 403 0.6× 270 0.7× 116 0.4× 118 0.4× 312 11.9k
David W. Gaylor 396 0.5× 1.0k 1.5× 1.2k 3.3× 93 0.3× 74 0.2× 173 6.2k
Jack Siemiatycki 231 0.3× 562 0.8× 1.5k 3.9× 387 1.2× 378 1.2× 223 9.1k
Virginie Rondeau 702 0.9× 169 0.2× 169 0.5× 163 0.5× 114 0.4× 98 3.8k

Countries citing papers authored by Lili Tian

Since Specialization
Citations

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

Fields of papers citing papers by Lili Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lili Tian

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