Xiling Guo

3.6k citations
39 papers · 1.5k · h-index 20

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 11
    • Viral Infections and Vectors 11
    • COVID-19 Clinical Research Studies 5
    • Viral Infections and Outbreaks Research 5

Xiling Guo

38 papers receiving 1.4k citations

Peers

Xiling Guo
Comparison fields: 5 of 106
  • Infectious Diseases 971
  • Ecology, Evolution, Behavior and Systematics 259
  • Animal Science and Zoology 112
  • Cancer Research 165
  • General Dentistry 19
Replace Hyeok-Il Kwon with:
Hyeok-Il Kwon South Korea
Kangchen Zhao China
Na‐Young Ha South Korea
Aihua Zheng China
José Luiz Proença‐Módena Brazil
Adam J. Hume United States
Catherine L. Wilhelmsen United States
Tabea Binger Germany
Eric C. Mossel United States
Ian N. Moore United States
Xiling Guo relative to Hyeok-Il Kwon South Korea Hyeok-Il Kwon's profile →
Citations per field
00.5×4.5×
Hyeok-Il Kwon · 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 2020257
2 2009141
3 2011118
4 2012114
5 202181
6 202076
7 201375
8 201167
9 201265
10 201360
11 201347
12 201046
13 201737
14 201534
15 201231
16 201028
17 202124
18 202223
19 202123
20 201822

About Xiling Guo

Xiling Guo is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Global and Planetary Change and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Viral Infections and Vectors (11 papers), Fire effects on ecosystems (6 papers), COVID-19 Clinical Research Studies (5 papers), Viral Infections and Outbreaks Research (5 papers), MicroRNA in disease regulation (4 papers), Escherichia coli research studies (4 papers) and Vector-Borne Animal Diseases (4 papers). The work is most often cited by research in Infectious Diseases (971 citations), Ecology, Evolution, Behavior and Systematics (259 citations), Animal Science and Zoology (112 citations), Cancer Research (165 citations) and General Dentistry (19 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, Ying Chi, Fengcai Zhu and Changjun Bao. Their work appears in journals such as Scientific Reports, The Journal of Infectious Diseases, Journal of Clinical Microbiology, Emerging infectious diseases and PLoS neglected tropical diseases.

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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