Xiling Guo

3.5k citations
39 papers · 1.5k · h-index 19

Impact in

Papers in

    • Viral Infections and Vectors 11
    • SARS-CoV-2 and COVID-19 Research 8
    • COVID-19 Clinical Research Studies 5
    • Viral Infections and Outbreaks Research 4
    • Viral gastroenteritis research and epidemiology 3
    • Escherichia coli research studies 3

Xiling Guo

38 papers receiving 1.5k citations

Peers

Xiling Guo
Comparison fields: 5 of 93
  • Infectious Diseases 906
  • Ecology, Evolution, Behavior and Systematics 230
  • Cancer Research 157
  • Animal Science and Zoology 110
  • Virology 34
Replace Kangchen Zhao with:
Kangchen Zhao China
Hyeok-Il Kwon South Korea
Satoshi Komoto Japan
José Luiz Proença‐Módena Brazil
Huiyun Chang China
Quanjiao Chen China
Yuwei Gao China
Eric C. Mossel United States
James F. Papin United States
Victoria Meliopoulos United States
Xiling Guo relative to Kangchen Zhao China Kangchen Zhao's profile →
Citations per field
00.5×5×10×12.8×
Kangchen Zhao · 1×
Citations per year

Countries citing papers authored by Xiling Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiling Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020266
2 2009151
3 2011131
4 2012118
5 202085
6 201176
7 201376
8 201268
9 201367
10 201352
11 201049
12 201744
13 201237
14 201536
15 201032
16 202227
17 202126
18 202125
19 201824
20 201716

About Xiling Guo

Xiling Guo is a scholar working on Infectious Diseases, Endocrinology, Cancer Research, Modeling and Simulation and Epidemiology, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Viral Infections and Vectors (11 papers), SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (5 papers), Viral Infections and Outbreaks Research (4 papers), MicroRNA in disease regulation (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Respiratory viral infections research (3 papers) and Escherichia coli research studies (3 papers). The work is most often cited by research in Infectious Diseases (906 citations), Ecology, Evolution, Behavior and Systematics (230 citations), Cancer Research (157 citations), Animal Science and Zoology (110 citations) and Virology (34 citations). Xiling Guo has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lunbiao Cui, Yiyue Ge, Minghao Zhou, Zhiyang Shi, Xian Qi, Yongjun Jiao, Wenshuai Zhang, Fengcai Zhu, Changjun Bao and Ying Chi. Their work appears in journals such as Journal of Clinical Microbiology, PLoS neglected tropical diseases, The Journal of Infectious Diseases, Emerging infectious diseases and BioMed Research International.

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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