Tianlu Wang

28 total papers · 565 total citations
13 papers, 357 citations indexed

About

Tianlu Wang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Tianlu Wang has authored 13 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Tianlu Wang's work include Lung Cancer Treatments and Mutations (5 papers), Lung Cancer Research Studies (5 papers) and Brain Metastases and Treatment (2 papers). Tianlu Wang is often cited by papers focused on Lung Cancer Treatments and Mutations (5 papers), Lung Cancer Research Studies (5 papers) and Brain Metastases and Treatment (2 papers). Tianlu Wang collaborates with scholars based in China. Tianlu Wang's co-authors include Yu Wu, Yingqiu Song, Sibo Zhang, Xiaofang Zhang, Yangwu Ren, Hong Yu, Yuxia Zhao, Yuxia Zhao, Yingqiu Song and Baosen Zhou and has published in prestigious journals such as Molecular Cancer, International Journal of Nanomedicine and Frontiers in Oncology.

In The Last Decade

Tianlu Wang

12 papers receiving 356 citations

Hit Papers

Molecular mechanisms of t... 2023 2026 2024 2023 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Molecular mechanisms of tumor resistance to radiotherapy
    2023 235 citations Yu Wu, Yingqiu Song et al. Molecular Cancer profile →

Author Peers

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

Author Last Decade Papers Cites
Tianlu Wang 173 94 88 81 70 13 357
Guillem Pascual‐Pasto 153 0.9× 139 1.5× 66 0.8× 48 0.6× 92 1.3× 21 376
Mau‐Shin Chi 116 0.7× 62 0.7× 81 0.9× 63 0.8× 62 0.9× 17 326
Aaron E. Chiou 214 1.2× 110 1.2× 120 1.4× 104 1.3× 24 0.3× 15 403
Laura Mitrofan 161 0.9× 113 1.2× 64 0.7× 41 0.5× 84 1.2× 11 390
Wei-Lun Sun 153 0.9× 82 0.9× 62 0.7× 58 0.7× 64 0.9× 20 358
Vivek R. Shinde Patil 128 0.7× 53 0.6× 80 0.9× 45 0.6× 50 0.7× 10 364
Veronika Ecker 180 1.0× 149 1.6× 46 0.5× 50 0.6× 62 0.9× 12 403
Heena Kumra 104 0.6× 66 0.7× 68 0.8× 71 0.9× 59 0.8× 19 375
Yang Liu 143 0.8× 88 0.9× 77 0.9× 46 0.6× 66 0.9× 12 333
Desmond Jacob 113 0.7× 65 0.7× 88 1.0× 104 1.3× 42 0.6× 15 303

Countries citing papers authored by Tianlu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tianlu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianlu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tianlu Wang. A scholar is included among the top collaborators of Tianlu Wang 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 Wang. Tianlu Wang 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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2026