Hai Liao

728 citations
37 papers · 562 indexed · h-index 13
Topics
Lung Cancer Treatments and Mutations (9 papers)Lung Cancer Research Studies (6 papers)Head and Neck Cancer Studies (6 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaScientific Reports
Partner nations
ChinaUnited Kingdom

In The Last Decade

Hai Liao

34 papers receiving 555 citations

Peers

Hai Liao
Comparison fields: 5 of 81
  • Pulmonary and Respiratory Medicine 218
  • Oncology 216
  • Molecular Biology 166
  • Plant Science 82
  • Ecological Modeling 61
Replace Han‐Yu Wang with:
Han‐Yu Wang Taiwan
Norio Kondo Japan
Sylvie Veyrenc France
Thomas C. Fisher United Kingdom
Márcia Maria Urbanin Castanhole-Nunes Brazil
Gerald Wallweber United States
Natalie Hernandez United States
K. L. Satya‐Prakash United States
Hai Liao relative to Han‐Yu Wang Taiwan Han‐Yu Wang's profile →
Citations per field
00.5×4.2×
Han‐Yu Wang · 1×
Citations per year

Countries citing papers authored by Hai Liao

Since Specialization
Citations

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

Fields of papers citing papers by Hai Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Liao. A scholar is included among the top collaborators of Hai Liao 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 Hai Liao. Hai Liao 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 0
2 0
3 1
4 2
5 5
6 34
7 3
8 4
9 52
10 13
11 15
12 3
13 11
14 12
15 30
16 7
17 41
18
Brain Radiotherapy Combined with Sequential Chemotherapy in Non-Small-Cell Lung Cancer Patients with Brain Metastases
1
19 23
20
Progress in the Study of Berberine Biosynthetic Enzymes of Coptis
1

About Hai Liao

Hai Liao is a scholar working on Otorhinolaryngology, Ecological Modeling and Oncology, having authored 37 papers that have together received 562 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Lung Cancer Research Studies (6 papers) and Head and Neck Cancer Studies (6 papers). The work is most often cited by research in Ecological Modeling (61 citations), Otorhinolaryngology (47 citations) and Oncology (216 citations). Hai Liao has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Jiayu Zhou, Li-kun Chen, Fei Xu, Li Zhang, Yin-duo Zeng, Junling Liu, Wei-Dong Wei, Ying Liang, Yang Zhang and Dexin Li. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

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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