Shang Xia
Impact in
- Parasitology top 2%
- Vector-borne infectious diseases
- Parasites and Host Interactions
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
-
- Zoonotic diseases and public health 14
- Malaria Research and Control 10
- Mosquito-borne diseases and control 7
- Mathematical and Theoretical Epidemiology and Ecology Models 4
- Parasitology 22
- Parasites and Host Interactions 20
- Co-authors
- Jiming Liu (17 shared papers)Xiao‐Nong Zhou (28 shared papers)Benyun Shi (9 shared papers)Shan Lv (11 shared papers)Jing-Bo Xue (20 shared papers)Yong Shi (1 shared paper)Liu Yang (1 shared paper)Bianli Xu (1 shared paper)
In The Last Decade
Shang Xia
67 papers receiving 971 citations
Peers
Comparison fields: 5 of 110
- Parasitology 294
- Modeling and Simulation 198
- Public Health, Environmental and Occupational Health 320
- Infectious Diseases 197
- Insect Science 74
Countries citing papers authored by Shang Xia
This map shows the geographic impact of Shang Xia'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 Shang Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shang Xia more than expected).
Fields of papers citing papers by Shang Xia
This network shows the impact of papers produced by Shang Xia. 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 Shang Xia. The network helps show where Shang Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Shang Xia, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 111 | |
| 2 | 2014 | 105 | |
| 3 | 2014 | 72 | |
| 4 | 2013 | 63 | |
| 5 | 2022 | 48 | |
| 6 | 2014 | 43 | |
| 7 | 2019 | 31 | |
| 8 | 2013 | 24 | |
| 9 | 2021 | 23 | |
| 10 | 2021 | 23 | |
| 11 | 2013 | 23 | |
| 12 | 2018 | 22 | |
| 13 | 2017 | 21 | |
| 14 | 2021 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2017 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2016 | 14 | |
| 20 | 2016 | 13 |
About Shang Xia
Shang Xia is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Modeling and Simulation, Epidemiology and Infectious Diseases, having authored 69 papers that have together received 987 indexed citations. Recurring topics across this work include Parasites and Host Interactions (20 papers), Zoonotic diseases and public health (14 papers), COVID-19 epidemiological studies (14 papers), Malaria Research and Control (10 papers), Influenza Virus Research Studies (7 papers), Mosquito-borne diseases and control (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers) and Global Maternal and Child Health (4 papers). The work is most often cited by research in Parasitology (294 citations), Modeling and Simulation (198 citations), Public Health, Environmental and Occupational Health (320 citations), Infectious Diseases (197 citations) and Insect Science (74 citations). Shang Xia has collaborated with scholars based in China, Hong Kong and Vietnam. Frequent co-authors include Jiming Liu, Xiao‐Nong Zhou, Benyun Shi, Shan Lv, Jing-Bo Xue, Yong Shi, Liu Yang, Bianli Xu, Shi‐Zhu Li and Qin Liu. Their work appears in journals such as Infectious Diseases of Poverty, Parasites & Vectors, PLoS ONE, Tropical Medicine and Infectious Disease and Advances in Parasitology.
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.