Xiaoyun Liao

8.7k citations
69 papers · 6.2k indexed · 3 hit papers · h-index 35
Topics
Genetic factors in colorectal cancer (13 papers)Cancer Immunotherapy and Biomarkers (10 papers)Immunotherapy and Immune Responses (8 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Xiaoyun Liao

66 papers receiving 6.1k citations

Hit Papers

Long-Term Colorectal-Cancer Incidence and Mortality after...20122026201620212013201220122505007501000

Peers

Xiaoyun Liao
Comparison fields: 5 of 124
  • Oncology 4.3k
  • Pulmonary and Respiratory Medicine 1.8k
  • Pathology and Forensic Medicine 1.8k
  • Molecular Biology 1.5k
  • Cancer Research 1.1k
Replace Jung Ho Kim with:
Jung Ho Kim South Korea
Mario Scartozzi Italy
Mai Yamauchi United States
Markus J. Mäkinen Finland
Rebecca A. Moss United States
Masaichi Ohira Japan
Davide Melisi Italy
Franck Zinzindohoué France
Ferdinando De Vita Italy
Michele Orditura Italy
Xiaoyun Liao relative to Jung Ho Kim South Korea Jung Ho Kim's profile →
Citations per field
00.5×1.7×
Jung Ho Kim · 1×
Citations per year

Countries citing papers authored by Xiaoyun Liao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyun Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyun Liao. A scholar is included among the top collaborators of Xiaoyun 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 Xiaoyun Liao. Xiaoyun 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 1
2 0
3 10
4 10
5 14
6
Identification of Important Modules and Biomarkers in Breast Cancer Based on WGCNA
3
7 12
8 284
9 58
10 123
11 76
12 77
13 114
14 103
15 302
16 33
17 115
18 210
19 200
20 20

About Xiaoyun Liao

Xiaoyun Liao is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 69 papers that have together received 6.2k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (13 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Oncology (4.3k citations), Pathology and Forensic Medicine (1.8k citations) and Cancer Research (1.1k citations). Xiaoyun Liao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Charles S. Fuchs, Mai Yamauchi, Shuji Ogino, Aya Kuchiba, Yu Imamura, Teppei Morikawa, Zhi Rong Qian, Reiko Nishihara, Paul Lochhead and Andrew T. Chan. Their work appears in journals such as New England Journal of Medicine, JAMA and Journal of Clinical Oncology.

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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