Ye Yao

5.4k citations
157 papers · 4.1k · 1 hit paper · h-index 33

Impact in

Papers in

    • Cancer Cells and Metastasis 11
    • Colorectal Cancer Surgical Treatments 9
    • Cancer-related molecular mechanisms research 9
    • MicroRNA in disease regulation 7

Ye Yao

151 papers receiving 4.1k citations

Ye Yao's Hit Papers

Patient-Derived Organoids Predict Chemoradiation Responses of Locally Advanced Rectal Cancer 2019 · 570 citations
5700+2+4Years since publication100200300400500

Peers

Ye Yao
Comparison fields: 5 of 148
  • Biological Psychiatry 126
  • Cancer Research 706
  • Oncology 866
  • Obstetrics and Gynecology 175
  • Molecular Biology 1.4k
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Citations per field
00.5×2×3×4.1×
Jiang Liu · 1×
Citations per year

Countries citing papers authored by Ye Yao

Since Specialization
Citations

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

Fields of papers citing papers by Ye Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ye 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 Ye Yao Line = papers co-authored together Ye Yao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Patient-Derived Organoids Predict Chemoradiation Responses of Locally Advanced Rectal Cancer
Hit paper breakdown →
2019570
2 2021182
3 2008147
4 1999143
5 2019140
6 2018138
7 2016129
8 2016101
9 200791
10 201786
11 201984
12 201483
13 201479
14 201677
15 202169
16 201368
17 202268
18 202065
19 200963
20 201658

About Ye Yao

Ye Yao is a scholar working on Oncology, Cancer Research, Immunology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 157 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (11 papers), Reproductive System and Pregnancy (10 papers), Colorectal Cancer Surgical Treatments (9 papers), Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (7 papers), Cancer, Stress, Anesthesia, and Immune Response (6 papers), RNA modifications and cancer (6 papers) and Effects of Radiation Exposure (6 papers). The work is most often cited by research in Biological Psychiatry (126 citations), Cancer Research (706 citations), Oncology (866 citations), Obstetrics and Gynecology (175 citations) and Molecular Biology (1.4k citations). Ye Yao has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Udo Jeschke, Zhiwei Lian, Viktoria von Schönfeldt, Fangyan Wang, Jinming Xu, Jiaming Liu, Jing Sun, Yufeng Yuan, Sven� Mahner and Weijie Ma. Their work appears in journals such as International Journal of Molecular Sciences, Acta Pharmacologica Sinica, Food & Function, Toxicological Sciences and Frontiers in Genetics.

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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