Ling Guo

8.6k citations
171 papers · 3.5k · h-index 33

Impact in

Papers in

Ling Guo

166 papers receiving 3.5k citations

Peers

Ling Guo
Comparison fields: 5 of 121
  • Otorhinolaryngology 963
  • Cancer Research 662
  • Oncology 813
  • Molecular Biology 1.0k
  • Immunology 280
Replace Wei-Hua Jia with:
Wei-Hua Jia China
Jason Chia‐Hsien Cheng Taiwan
Kelly R. Magliocca United States
Pierre Saintigny France
Tomoya Yokota Japan
Zhen‐Yu He China
Luigi Pirtoli Italy
Torahiko Nakashima Japan
Kathryn A. Gold United States
Andrew C. Birkeland United States
Ling Guo relative to Wei-Hua Jia China Wei-Hua Jia's profile →
Citations per field
00.5×1.5×2.1×
Wei-Hua Jia · 1×
Citations per year

Countries citing papers authored by Ling Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ling Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010118
2 2015117
3 201396
4 201989
5 201985
6 201072
7 201767
8 201764
9 200961
10 202060
11 201258
12 201954
13 201453
14 202151
15 202050
16
Expression of long non-coding RNA ZEB1-AS1 in esophageal squamous cell carcinoma and its correlation with tumor progression and patient survival.
201549
17 201548
18 202048
19 201248
20 201646

About Ling Guo

Ling Guo is a scholar working on Otorhinolaryngology, Molecular Biology, Oncology, Cancer Research and Surgery, having authored 171 papers that have together received 3.5k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (55 papers), MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (11 papers), Inflammatory Biomarkers in Disease Prognosis (11 papers), Circular RNAs in diseases (9 papers), Head and Neck Surgical Oncology (9 papers), Bioinformatics and Genomic Networks (9 papers) and Cancer-related gene regulation (8 papers). The work is most often cited by research in Otorhinolaryngology (963 citations), Cancer Research (662 citations), Oncology (813 citations), Molecular Biology (1.0k citations) and Immunology (280 citations). Ling Guo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ming‐Yuan Chen, Ming‐Huang Hong, Min Feng, Xiang Guo, Hai-Qiang Mai, Huan‐Xin Lin, Xiong Zou, Cuifeng Wang, Rou Jiang and Qiuyan Chen. Their work appears in journals such as Frontiers in Oncology, Journal of Clinical Oncology, BMC Cancer, Chinese Journal of Cancer and Oncotarget.

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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