Xiaobin Gu
Impact in
- Parasitology top 0.5%
- Parasitic Infections and Diagnostics
- Parasites and Host Interactions
- Small Animals top 1%
- Helminth infection and control
Papers in
- Parasitology 67
- Parasitic Infections and Diagnostics 42
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- Dermatological diseases and infestations 37
- Co-authors
- Guangyou Yang (89 shared papers)Yue Xie (97 shared papers)Xuerong Peng (51 shared papers)Xuerong Peng (56 shared papers)Guangyou Yang (28 shared papers)Ran He (45 shared papers)Weimin Lai (24 shared papers)Shuxian Wang (15 shared papers)
- Journals
- Parasites & Vectors (28 papers)Veterinary Parasitology (15 papers)Parasitology Research (10 papers)International Journal of Molecular Sciences (9 papers)PLoS ONE (8 papers)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Xiaobin Gu
135 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 94
- Parasitology 696
- Small Animals 307
- Infectious Diseases 463
- Pathology and Forensic Medicine 320
- Animal Science and Zoology 151
Countries citing papers authored by Xiaobin Gu
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
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.
All Works
Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 68 | |
| 2 | 2011 | 46 | |
| 3 | 2017 | 39 | |
| 4 | 2012 | 38 | |
| 5 | 2012 | 36 | |
| 6 | 2011 | 35 | |
| 7 | 2014 | 35 | |
| 8 | 2013 | 34 | |
| 9 | 2018 | 34 | |
| 10 | 2013 | 34 | |
| 11 | 2011 | 34 | |
| 12 | 2015 | 33 | |
| 13 | 2012 | 32 | |
| 14 | 2013 | 30 | |
| 15 | 2016 | 27 | |
| 16 | 2012 | 26 | |
| 17 | 2013 | 25 | |
| 18 | 2012 | 25 | |
| 19 | 2012 | 25 | |
| 20 | 2018 | 24 |
About Xiaobin Gu
Xiaobin Gu is a scholar working on Parasitology, Infectious Diseases, Pathology and Forensic Medicine, Ecology and Small Animals, having authored 143 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (42 papers), Dermatological diseases and infestations (37 papers), Parasitic infections in humans and animals (33 papers), Parasite Biology and Host Interactions (24 papers), Helminth infection and control (21 papers), Congenital Anomalies and Fetal Surgery (14 papers), Coccidia and coccidiosis research (12 papers) and Study of Mite Species (12 papers). The work is most often cited by research in Parasitology (696 citations), Small Animals (307 citations), Infectious Diseases (463 citations), Pathology and Forensic Medicine (320 citations) and Animal Science and Zoology (151 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, Parasitology Research, International Journal of Molecular Sciences 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.