Xiang‐Ping Yao

28 total papers · 708 total citations
20 papers, 293 citations indexed

About

Xiang‐Ping Yao is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiang‐Ping Yao has authored 20 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiang‐Ping Yao's work include Medical Imaging and Pathology Studies (7 papers), Thyroid and Parathyroid Surgery (5 papers) and Parathyroid Disorders and Treatments (5 papers). Xiang‐Ping Yao is often cited by papers focused on Medical Imaging and Pathology Studies (7 papers), Thyroid and Parathyroid Surgery (5 papers) and Parathyroid Disorders and Treatments (5 papers). Xiang‐Ping Yao collaborates with scholars based in China, United States and Hong Kong. Xiang‐Ping Yao's co-authors include Wan‐Jin Chen, Hui‐Zhen Su, Miao Zhao, Xinxin Guo, Ning Wang, En‐Lin Dong, Ying‐Qian Lu, Chong Wang, Xiaohuan Zou and Gongshe Yang and has published in prestigious journals such as Neuron, Journal of Agricultural and Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Xiang‐Ping Yao

20 papers receiving 292 citations

Author Peers

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

Author Last Decade Papers Cites
Xiang‐Ping Yao 125 112 112 88 67 20 293
Anne‐Claire Richard 79 0.6× 87 0.8× 88 0.8× 106 1.2× 83 1.2× 13 344
Hui‐Zhen Su 95 0.8× 87 0.8× 91 0.8× 52 0.6× 53 0.8× 16 266
Takuo Fujita 46 0.4× 125 1.1× 49 0.4× 135 1.5× 49 0.7× 16 351
Shunji Shiohira 37 0.3× 216 1.9× 47 0.4× 124 1.4× 88 1.3× 19 358
Milene Subtil Ormanji 44 0.4× 54 0.5× 54 0.5× 110 1.3× 29 0.4× 19 308
Xue Bai 45 0.4× 50 0.4× 57 0.5× 114 1.3× 19 0.3× 29 290
David T. Asuzu 106 0.8× 23 0.2× 48 0.4× 77 0.9× 36 0.5× 20 309
Alejandro Ayala 153 1.2× 25 0.2× 45 0.4× 110 1.3× 50 0.7× 22 352
Mychel Morais 34 0.3× 66 0.6× 26 0.2× 126 1.4× 28 0.4× 18 327
Letizia De Chiara 64 0.5× 97 0.9× 48 0.4× 130 1.5× 17 0.3× 23 280

Countries citing papers authored by Xiang‐Ping Yao

Since Specialization
Citations

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

Fields of papers citing papers by Xiang‐Ping Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiang‐Ping Yao. 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 Xiang‐Ping Yao. The network helps show where Xiang‐Ping Yao may publish in the future.

Co-authorship network of co-authors of Xiang‐Ping Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang‐Ping Yao. A scholar is included among the top collaborators of Xiang‐Ping Yao 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 Xiang‐Ping Yao. Xiang‐Ping Yao 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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