Guoxiang Mo
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
- Microbiology 11
- Antimicrobial Peptides and Activities 11
-
- Biochemical and Structural Characterization 3
- Co-authors
- Ren Lai (10 shared papers)Xiuwen Yan (7 shared papers)Xiaoqin He (2 shared papers)Juanjuan Yang (1 shared paper)Jing Hong (1 shared paper)Donghai Lin (1 shared paper)Lin Wei (2 shared papers)James Mwangi (4 shared papers)
- Journals
- Toxins (4 papers)Microbiological Research (1 paper)Nature Communications (1 paper)International Journal of Molecular Sciences (1 paper)Thrombosis and Haemostasis (1 paper)
- Partner nations
- ChinaHong KongSaudi Arabia
In The Last Decade
Guoxiang Mo
20 papers receiving 371 citations
Peers
Comparison fields: 5 of 66
- Microbiology 190
- Animal Science and Zoology 53
- Insect Science 45
- Immunology 77
- Infectious Diseases 67
Countries citing papers authored by Guoxiang Mo
This map shows the geographic impact of Guoxiang Mo'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 Guoxiang Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoxiang Mo more than expected).
Fields of papers citing papers by Guoxiang Mo
This network shows the impact of papers produced by Guoxiang Mo. 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 Guoxiang Mo. The network helps show where Guoxiang Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoxiang Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 100 | |
| 2 | 2022 | 57 | |
| 3 | 2014 | 29 | |
| 4 | 2019 | 27 | |
| 5 | 2019 | 26 | |
| 6 | 2020 | 20 | |
| 7 | 2016 | 19 | |
| 8 | 2014 | 15 | |
| 9 | 2017 | 15 | |
| 10 | 2019 | 13 | |
| 11 | 2017 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2023 | 6 | |
| 15 | 2014 | 6 | |
| 16 | 2013 | 4 | |
| 17 | 2014 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | [Functional identification and application of horsefly as a representative form of traditional Chinese medicine]. | 2013 | 1 |
About Guoxiang Mo
Guoxiang Mo is a scholar working on Microbiology, Molecular Biology, Cellular and Molecular Neuroscience, Genetics and Insect Science, having authored 20 papers that have together received 371 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (11 papers), Venomous Animal Envenomation and Studies (6 papers), Neurobiology and Insect Physiology Research (5 papers), Insect and Pesticide Research (4 papers), Biochemical and Structural Characterization (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Vector-borne infectious diseases (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Microbiology (190 citations), Animal Science and Zoology (53 citations), Insect Science (45 citations), Immunology (77 citations) and Infectious Diseases (67 citations). Guoxiang Mo has collaborated with scholars based in China, Hong Kong and Saudi Arabia. Frequent co-authors include Ren Lai, Xiuwen Yan, Xiaoqin He, Juanjuan Yang, Jing Hong, Donghai Lin, Lin Wei, James Mwangi, Lin Jin and Mingqiang Rong. Their work appears in journals such as Toxins, Microbiological Research, Nature Communications, International Journal of Molecular Sciences and Thrombosis and Haemostasis.
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.