Haibo Yao

481 citations
22 papers · 345 indexed · h-index 11
Topics
Cancer-related gene regulation (6 papers)Epigenetics and DNA Methylation (5 papers)Gastric Cancer Management and Outcomes (5 papers)

In The Last Decade

Haibo Yao

21 papers receiving 343 citations

Peers

Haibo Yao
Comparison fields: 5 of 53
  • Molecular Biology 237
  • Cancer Research 142
  • Oncology 89
  • Pulmonary and Respiratory Medicine 70
  • Cell Biology 58
Replace Keisuke Tomoda with:
Keisuke Tomoda Japan
Qiji Li China
Jiequn Ma China
Yongji Zeng United States
Thomas H. Y. Leung Hong Kong
Lingqiang Min China
Haitao Qing China
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Haibo Yao relative to Keisuke Tomoda Japan Keisuke Tomoda's profile →
Citations per field
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Keisuke Tomoda · 1×
Citations per year

Countries citing papers authored by Haibo Yao

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Yao. A scholar is included among the top collaborators of Haibo 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 Haibo Yao. Haibo Yao 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
#WorkIndexed citations
1 1
2 1
3 0
4 4
5 35
6 17
7 8
8 14
9 1
10 28
11 17
12 68
13 37
14
Up-regulation of ECT2 is associated with poor prognosis in gastric cancer patients.
26
15
[Expression of aldo-keto reductase family 1 member B10 in gastric cancer tissues and its clinical significance].
3
16 12
17
[Expressions of Jumonji domain containing protein 2C and hypoxia-inducible factor-1α in gastric carcinoma and their clinical significance].
2
18 11
19 49
20
[Association of SOX9 expression and prognosis in patients with gastric cancer].
9

About Haibo Yao

Haibo Yao is a scholar working on Cancer Research, Cell Biology and Oncology, having authored 22 papers that have together received 345 indexed citations. Recurring topics across this work include Cancer-related gene regulation (6 papers), Epigenetics and DNA Methylation (5 papers) and Gastric Cancer Management and Outcomes (5 papers). The work is most often cited by research in Cancer Research (142 citations), Cell Biology (58 citations) and Molecular Biology (237 citations). Haibo Yao has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Qin‐shu Shao, Ying‐Yu Ma, Yi Jin, Yanfei Shao, Yue Xu, Yingjie Xia, Wei Wang, Jun He, Yu‐An Chen and Yi Jin. Their work appears in journals such as PLoS ONE, Medicine and Histopathology.

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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