Xiaobin Gu

2.4k citations
145 papers · 1.8k · h-index 23

Impact in

    • Vector-borne infectious diseases
    • Parasites and Host Interactions
    • Parasitic Infections and Diagnostics
  • Small Animals top 0.5%
    • Helminth infection and control

Papers in

Xiaobin Gu

139 papers receiving 1.8k citations

Peers

Xiaobin Gu
Comparison fields: 5 of 74
  • Parasitology 355
  • Small Animals 409
  • Pathology and Forensic Medicine 431
  • Infectious Diseases 366
  • Animal Science and Zoology 89
Replace Guangyou Yang with:
Guangyou Yang China
Vasile Cozma Romania
Bronwyn E. Campbell Australia
Hui‐Qun Song China
Nariaki Nonaka Japan
Min Hu China
Thomas Schnieder Germany
Raúl José Bobes Mexico
H. Mehlhorn Germany
Xiaobin Gu relative to Guangyou Yang China Guangyou Yang's profile →
Citations per field
00.5×1.5×2.1×
Guangyou Yang · 1×
Citations per year

Countries citing papers authored by Xiaobin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201172
2 201148
3 201240
4 201740
5 201136
6 201136
7 201336
8 201435
9 201835
10 201334
11 201233
12 201233
13 201533
14 201332
15 201628
16 201227
17 201226
18 201226
19 201226
20 201325

About Xiaobin Gu

Xiaobin Gu is a scholar working on Small Animals, Infectious Diseases, Pathology and Forensic Medicine, Parasitology and Ecology, Evolution, Behavior and Systematics, having authored 145 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (41 papers), Dermatological diseases and infestations (38 papers), Helminth infection and control (35 papers), Study of Mite Species (15 papers), Vector-borne infectious diseases (14 papers), Coccidia and coccidiosis research (8 papers), Parasite Biology and Host Interactions (8 papers) and Dermatology and Skin Diseases (7 papers). The work is most often cited by research in Parasitology (355 citations), Small Animals (409 citations), Pathology and Forensic Medicine (431 citations), Infectious Diseases (366 citations) and Animal Science and Zoology (89 citations). Xiaobin Gu has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Guangyou Yang, Yue Xie, Xuerong Peng, Xuerong Peng, Guangyou Yang, Ran He, Weimin Lai, Shuxian Wang, Jing Xu and Shuxian Wang. Their work appears in journals such as Parasites & Vectors, Veterinary Parasitology, International Journal of Molecular Sciences, Parasitology Research 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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