Xin‐Xing Gu

957 citations
33 papers · 832 · h-index 19

Impact in

    • Bacterial Infections and Vaccines
    • Microbial infections and disease research
    • Antibiotic Resistance in Bacteria

Papers in

    • Pneumonia and Respiratory Infections 24
    • Influenza Virus Research Studies 6
    • Respiratory viral infections research 4
    • Bacterial Infections and Vaccines 16
    • Microbial infections and disease research 6

Xin‐Xing Gu

33 papers receiving 791 citations

Peers

Xin‐Xing Gu
Comparison fields: 5 of 63
  • Microbiology 380
  • Molecular Medicine 104
  • Epidemiology 514
  • Endocrinology 77
  • Otorhinolaryngology 43
Replace Richard A. Juneau with:
Richard A. Juneau United States
Mikhail Shchepetov United States
Therése Nordström Sweden
I Maciver United States
Michael J. Cieslewicz United States
Kirk W. McCrea United States
Alexis Brooks-Walter United States
L C Bartos United States
David E. Briles United States
Gunnstein Norheim Norway
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Citations per field
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Richard A. Juneau · 1×
Citations per year

Countries citing papers authored by Xin‐Xing Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xin‐Xing Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin‐Xing Gu. 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 Xin‐Xing Gu. The network helps show where Xin‐Xing Gu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005103
2 199944
3 200341
4 200140
5 200039
6 199439
7 201738
8 200236
9 199135
10 200333
11 200533
12 200030
13 200727
14 200526
15 201225
16 199924
17 200823
18 202021
19 200518
20 200417

About Xin‐Xing Gu

Xin‐Xing Gu is a scholar working on Epidemiology, Microbiology, Infectious Diseases, Molecular Medicine and Immunology, having authored 33 papers that have together received 832 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (24 papers), Bacterial Infections and Vaccines (16 papers), Antibiotic Resistance in Bacteria (7 papers), Microbial infections and disease research (6 papers), Influenza Virus Research Studies (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Respiratory viral infections research (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Microbiology (380 citations), Molecular Medicine (104 citations), Epidemiology (514 citations), Endocrinology (77 citations) and Otorhinolaryngology (43 citations). Xin‐Xing Gu has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Russell W. Carlson, Yingchun Hou, Weigang Hu, Shengqing Yu, Daxin Peng, Biswa Choudhury, Wenzhou Hong, Xinan Jiao, Takashi Hirano and Jing Chen. Their work appears in journals such as Infection and Immunity, Vaccine, Annals of Otology Rhinology & Laryngology, The Journal of Immunology and PLoS ONE.

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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