Tiebo Mao

29 total papers · 619 total citations
21 papers, 341 citations indexed

About

Tiebo Mao is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tiebo Mao has authored 21 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 8 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tiebo Mao's work include Pancreatic and Hepatic Oncology Research (14 papers), Ferroptosis and cancer prognosis (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Tiebo Mao is often cited by papers focused on Pancreatic and Hepatic Oncology Research (14 papers), Ferroptosis and cancer prognosis (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Tiebo Mao collaborates with scholars based in China and United States. Tiebo Mao's co-authors include Jiujie Cui, Xiaofei Zhang, Haiyan Xu, Jingyu Ma, Weiyu Ge, Jiayu Yao, Jing Xue, Yongchao Wang, Jiong Hu and Yiyi Liang and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Molecular Sciences and Molecular Cancer.

In The Last Decade

Tiebo Mao

20 papers receiving 339 citations

Author Peers

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

Author Last Decade Papers Cites
Tiebo Mao 205 189 116 82 51 21 341
Stefanie Stanzer 174 0.8× 183 1.0× 157 1.4× 63 0.8× 49 1.0× 22 389
Wenqing Feng 160 0.8× 194 1.0× 123 1.1× 64 0.8× 77 1.5× 23 366
Lei Zhou 170 0.8× 168 0.9× 97 0.8× 96 1.2× 49 1.0× 19 360
Xi Gu 140 0.7× 180 1.0× 154 1.3× 74 0.9× 56 1.1× 21 392
Betelehem W. Yacob 199 1.0× 139 0.7× 71 0.6× 101 1.2× 38 0.7× 15 347
Peifen Fu 211 1.0× 134 0.7× 98 0.8× 91 1.1× 45 0.9× 17 382
Rocío Granda‐Díaz 171 0.8× 176 0.9× 89 0.8× 64 0.8× 48 0.9× 20 364
Longwen Xu 171 0.8× 185 1.0× 92 0.8× 81 1.0× 60 1.2× 24 357
Guodong Deng 173 0.8× 159 0.8× 79 0.7× 117 1.4× 69 1.4× 30 383
Masaru Noda 147 0.7× 157 0.8× 80 0.7× 134 1.6× 44 0.9× 17 331

Countries citing papers authored by Tiebo Mao

Since Specialization
Citations

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

Fields of papers citing papers by Tiebo Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiebo Mao

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