Xin‐Xing Gu

1.6k citations
42 papers · 1.4k · h-index 23

Impact in

Papers in

Xin‐Xing Gu

42 papers receiving 1.3k citations

Peers

Xin‐Xing Gu
Comparison fields: 5 of 65
  • Microbiology 644
  • Otorhinolaryngology 174
  • Endocrinology 69
  • Immunology 261
  • Molecular Medicine 46
Replace Ilona Idänpään‐Heikkilä with:
Ilona Idänpään‐Heikkilä United States
Asaf Sol Israel
Susan A. Grass United States
Alistair J. Standish Australia
Christian Kranjec Italy
Ahmed Hashim United Kingdom
Katrin Reppe Germany
Wolfgang Strittmatter Germany
Suneeta Chimalapati United Kingdom
Ryohei Yamasaki United States
Xin‐Xing Gu relative to Ilona Idänpään‐Heikkilä United States Ilona Idänpään‐Heikkilä's profile →
Citations per field
00.5×2×4×6×7.7×
Ilona Idänpään‐Heikkilä · 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001240
2 2004117
3 2005107
4 199868
5 201743
6 199942
7 201242
8 200341
9 200140
10 200039
11 199438
12 200236
13 199135
14 200333
15 200533
16 200029
17 200227
18 200727
19 201227
20 200526

About Xin‐Xing Gu

Xin‐Xing Gu is a scholar working on Microbiology, Otorhinolaryngology, Immunology, Cancer Research and Health, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (35 papers), Immune Response and Inflammation (7 papers), Ear Surgery and Otitis Media (6 papers), Microbial infections and disease research (5 papers), Carbohydrate Chemistry and Synthesis (3 papers), Pneumonia and Respiratory Infections (2 papers), NF-κB Signaling Pathways (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Microbiology (644 citations), Otorhinolaryngology (174 citations), Endocrinology (69 citations), Immunology (261 citations) and Molecular Medicine (46 citations). Xin‐Xing Gu has collaborated with scholars based in United States, Ireland and Japan. Frequent co-authors include Yingchu Hou, Timothy F. Murphy, DAVID J. LIM, Russell W. Carlson, Jiandong Li, Shengqing Yu, Daxin Peng, Chao-Ming Tsai, Biswa Choudhury and Hirofumi Kai. Their work appears in journals such as Infection and Immunity, Vaccine, Annals of Otology Rhinology & Laryngology, PLoS ONE and FEBS Journal.

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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