Yaya Yu

1.3k total citations · 1 hit paper
25 papers, 871 citations indexed

About

Yaya Yu is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Yaya Yu has authored 25 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cancer Research, 9 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Yaya Yu's work include Cancer-related molecular mechanisms research (6 papers), Lung Cancer Treatments and Mutations (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Yaya Yu is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Lung Cancer Treatments and Mutations (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Yaya Yu collaborates with scholars based in China and United States. Yaya Yu's co-authors include Swei Sunny Hann, Shunqin Long, Xiaojuan Li, Yun Chen, Wanyin Wu, Sumei Wang, Ling Han, Tang Qing, Shi Yao and Adhip P.N. Majumdar and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Frontiers in Immunology.

In The Last Decade

Yaya Yu

25 papers receiving 868 citations

Hit Papers

The role of PD-1/PD-L1 and application of immune-checkpoi... 2022 2026 2023 2024 2022 100 200 300

Peers

Yaya Yu
Comparison fields: 5 of 88
  • Molecular Biology 427
  • Cancer Research 336
  • Oncology 322
  • Immunology 130
  • Pulmonary and Respiratory Medicine 126
Replace Ruting Xie with:
Ruting Xie China
Xiuyan Yu China
Klaudia Brodaczewska Poland
Chenliang Wang China
Fengchun Zhang China
Hanchu Xiong China
Martina Di Modica Italy
Xiaoping Zhou China
Sabine Krueger Germany
Ruting Xie China View profile →
Citations per field, relative to Yaya Yu
Yaya Yu · 1×
Citations per year, relative to Yaya Yu
Yaya Yu · 1×

Countries citing papers authored by Yaya Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yaya Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaya Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yaya Yu. A scholar is included among the top collaborators of Yaya Yu 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 Yaya Yu. Yaya Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 4
3 5
4 7
5 9
6 22
7 25
8
The role of PD-1/PD-L1 and application of immune-checkpoint inhibitors in human cancers breakdown →
313
9 19
10 5
11 20
12 11
13 1
14 48
15 24
16 51
17 25
18 24
19 12
20 219

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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