Bin Yao

67 papers receiving 1.3k citations

Peers

Bin Yao
Comparison fields: 5 of 111
  • Endocrinology, Diabetes and Metabolism 350
  • Otorhinolaryngology 50
  • Statistics and Probability 82
  • Oncology 209
  • Pulmonary and Respiratory Medicine 237
Replace Nathaniel Bouganim with:
Nathaniel Bouganim Canada
Samuel W. Beenken United States
Yasuo Hozumi Japan
Kazuhiro Araki Japan
Pei He United States
Raimondo Di Liello Italy
Daniel Mulkerin United States
Harold G. Sutton United States
Colin E. Champ United States
Takashi Imamoto Japan
Bin Yao relative to Nathaniel Bouganim Canada Nathaniel Bouganim's profile →
Citations per field
00.5×6.3×
Nathaniel Bouganim · 1×
Citations per year

Countries citing papers authored by Bin Yao

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin Yao Line = papers co-authored together Bin Yao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004246
2 2018195
3 2011143
4 2012142
5 2003118
6 201351
7 201235
8 201526
9 201824
10 201521
11 201420
12 201120
13 201318
14 202018
15 200118
16 201117
17 201816
18 202116
19 201716
20 200415

About Bin Yao

Bin Yao is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Statistics and Probability, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Statistical Methods in Clinical Trials (7 papers), Cancer Genomics and Diagnostics (6 papers), Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (5 papers), Esophageal Cancer Research and Treatment (4 papers), Lung Cancer Treatments and Mutations (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (350 citations), Otorhinolaryngology (50 citations), Statistics and Probability (82 citations), Oncology (209 citations) and Pulmonary and Respiratory Medicine (237 citations). Bin Yao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wen Xu, Jianping Weng, Xiaohua Chen, Zhimin Huang, Zhihong Liao, Yanbing Li, Guoliang Hu, Jinhua Yan, Li Zhu and Qi Jiang. Their work appears in journals such as Diabetes, Journal of Clinical Oncology, Diabetes/Metabolism Research and Reviews, Science Translational Medicine and International Journal of Radiation Oncology*Biology*Physics.

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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