Xinli Mao

34 total papers · 538 total citations
22 papers, 382 citations indexed

About

Xinli Mao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Xinli Mao has authored 22 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Oncology. Recurrent topics in Xinli Mao's work include Gastrointestinal Tumor Research and Treatment (5 papers), Gastric Cancer Management and Outcomes (5 papers) and Metastasis and carcinoma case studies (4 papers). Xinli Mao is often cited by papers focused on Gastrointestinal Tumor Research and Treatment (5 papers), Gastric Cancer Management and Outcomes (5 papers) and Metastasis and carcinoma case studies (4 papers). Xinli Mao collaborates with scholars based in China and Israel. Xinli Mao's co-authors include Xian-Bin Zhou, Liping Ye, Zhang Yu, Lin-Hong Zhu, Hai Yang, Liping Ye, Qin Huang, Cen Li, Longgui Ning and Hong Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Frontiers in Immunology and World Journal of Gastroenterology.

In The Last Decade

Xinli Mao

20 papers receiving 378 citations

Author Peers

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

Author Last Decade Papers Cites
Xinli Mao 212 208 205 75 43 22 382
Markus Goldschmiedt 267 1.3× 98 0.5× 153 0.7× 38 0.5× 34 0.8× 20 416
Gianfranco Da Dalt 284 1.3× 86 0.4× 189 0.9× 72 1.0× 22 0.5× 21 444
Ken‐ichi Tarumi 241 1.1× 138 0.7× 202 1.0× 27 0.4× 18 0.4× 35 432
Yong Kang Lee 124 0.6× 198 1.0× 110 0.5× 20 0.3× 46 1.1× 24 353
Masataka Segawa 278 1.3× 150 0.7× 144 0.7× 47 0.6× 20 0.5× 26 403
Shubao Wang 117 0.6× 217 1.0× 123 0.6× 62 0.8× 18 0.4× 36 351
Keizo Fujii 215 1.0× 359 1.7× 182 0.9× 42 0.6× 16 0.4× 21 445
Nong Cao 158 0.7× 124 0.6× 48 0.2× 55 0.7× 31 0.7× 24 407
Shoichi Kayaba 211 1.0× 111 0.5× 144 0.7× 71 0.9× 12 0.3× 23 422
C. J. Gavey 295 1.4× 114 0.5× 216 1.1× 52 0.7× 48 1.1× 13 423

Countries citing papers authored by Xinli Mao

Since Specialization
Citations

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

Fields of papers citing papers by Xinli Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinli Mao

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