Shaoxing Yang

22 total papers · 428 total citations
21 papers, 290 citations indexed

About

Shaoxing Yang is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shaoxing Yang has authored 21 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shaoxing Yang's work include Lung Cancer Treatments and Mutations (7 papers), Management of metastatic bone disease (5 papers) and Lung Cancer Research Studies (5 papers). Shaoxing Yang is often cited by papers focused on Lung Cancer Treatments and Mutations (7 papers), Management of metastatic bone disease (5 papers) and Lung Cancer Research Studies (5 papers). Shaoxing Yang collaborates with scholars based in China and United States. Shaoxing Yang's co-authors include Hongjun Gao, Haifeng Qin, Yaosheng Liu, Mingxing Lei, Weixia Wang, Xiaoqing Liu, Chuanhao Tang, Lianxi Liu, Hao Chen and Yi Fan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and Oncotarget.

In The Last Decade

Shaoxing Yang

21 papers receiving 289 citations

Author Peers

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

Author Last Decade Papers Cites
Shaoxing Yang 125 108 82 79 69 21 290
Tessa J.J. de Bitter 147 1.2× 82 0.8× 130 1.6× 118 1.5× 55 0.8× 23 277
Zubaida Fida Hussain 151 1.2× 88 0.8× 77 0.9× 74 0.9× 59 0.9× 19 331
Akira Okimura 141 1.1× 112 1.0× 67 0.8× 82 1.0× 49 0.7× 27 290
Shi‐Xun Lu 117 0.9× 102 0.9× 52 0.6× 91 1.2× 62 0.9× 21 263
Xiangbin Wan 120 1.0× 130 1.2× 83 1.0× 80 1.0× 98 1.4× 24 321
Laura Matteucci 140 1.1× 69 0.6× 61 0.7× 38 0.5× 78 1.1× 15 269
Kristen K. Ciombor 191 1.5× 84 0.8× 65 0.8× 77 1.0× 62 0.9× 24 312
Simone Zanotti 92 0.7× 61 0.6× 66 0.8× 43 0.5× 87 1.3× 18 257
Mark Laible 110 0.9× 131 1.2× 77 0.9× 66 0.8× 101 1.5× 19 301
Pan Chi 128 1.0× 88 0.8× 61 0.7× 49 0.6× 56 0.8× 20 254

Countries citing papers authored by Shaoxing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shaoxing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoxing Yang

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