Tianlu Shi

41 total papers · 1.2k total citations
20 papers, 988 citations indexed

About

Tianlu Shi is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Tianlu Shi has authored 20 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Tianlu Shi's work include Folate and B Vitamins Research (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). Tianlu Shi is often cited by papers focused on Folate and B Vitamins Research (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). Tianlu Shi collaborates with scholars based in China and United States. Tianlu Shi's co-authors include Ling Jiang, Lei Zhang, Pengli Zhu, Cheng Huang, D Mingying, Jun Li, Tingting Hu, Zhaolin Chen, Lin Wang and Ling Jiang and has published in prestigious journals such as Oncogene, Gene and European Journal of Pharmacology.

In The Last Decade

Tianlu Shi

19 papers receiving 976 citations

Hit Papers

Mammalian drug efflux tra... 2015 2026 2018 2022 2015 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Tianlu Shi 510 391 158 91 78 20 988
Tao Hu 582 1.1× 347 0.9× 183 1.2× 48 0.5× 38 0.5× 29 1.2k
Anne Mahringer 478 0.9× 477 1.2× 50 0.3× 91 1.0× 63 0.8× 29 1.2k
Soňa Vodenková 620 1.2× 316 0.8× 313 2.0× 75 0.8× 63 0.8× 29 1.1k
Brita Sjöström 333 0.7× 340 0.9× 67 0.4× 80 0.9× 65 0.8× 19 910
Elizabeth Ortíz-Sánchez 591 1.2× 463 1.2× 250 1.6× 31 0.3× 70 0.9× 41 1.2k
Shilpi Saha 485 1.0× 251 0.6× 158 1.0× 70 0.8× 91 1.2× 20 981
Jing Qi 486 1.0× 221 0.6× 197 1.2× 32 0.4× 41 0.5× 39 980
Nipin Sp 583 1.1× 198 0.5× 185 1.2× 47 0.5× 48 0.6× 41 1.2k
Martijn Rooseboom 411 0.8× 259 0.7× 89 0.6× 61 0.7× 74 0.9× 38 1.1k
Pengcheng Wang 509 1.0× 251 0.6× 94 0.6× 98 1.1× 158 2.0× 39 1.2k

Countries citing papers authored by Tianlu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Tianlu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianlu Shi

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