Lining Xia
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Escherichia coli research studies
- Vibrio bacteria research studies
Papers in
-
- Antibiotic Resistance in Bacteria 19
-
- Antimicrobial Resistance in Staphylococcus 5
- Co-authors
- Congming Wu (10 shared papers)Jianzhong Shen (10 shared papers)Lei Dai (6 shared papers)Yang Wang (5 shared papers)Xia Chen (2 shared papers)Pengjie Luo (2 shared papers)Si‐Yang Huang (3 shared papers)Qijing Zhang (2 shared papers)
- Journals
- Foodborne Pathogens and Disease (5 papers)Veterinary Microbiology (4 papers)Frontiers in Veterinary Science (3 papers)International Journal of Environmental Research and Public Health (1 paper)Research in Veterinary Science (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lining Xia
31 papers receiving 790 citations
Peers
Comparison fields: 5 of 59
- Molecular Medicine 363
- Endocrinology 157
- Food Science 364
- Pollution 160
- Infectious Diseases 193
Countries citing papers authored by Lining Xia
This map shows the geographic impact of Lining 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 Lining Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lining Xia more than expected).
Fields of papers citing papers by Lining Xia
This network shows the impact of papers produced by Lining 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 Lining Xia. The network helps show where Lining Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Lining 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 134 | |
| 2 | 2010 | 76 | |
| 3 | 2021 | 65 | |
| 4 | 2010 | 64 | |
| 5 | 2009 | 47 | |
| 6 | 2022 | 45 | |
| 7 | 2009 | 41 | |
| 8 | 2010 | 39 | |
| 9 | 2009 | 36 | |
| 10 | 2009 | 36 | |
| 11 | 2017 | 25 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2009 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2011 | 14 | |
| 19 | 2021 | 14 | |
| 20 | 2019 | 9 |
About Lining Xia
Lining Xia is a scholar working on Molecular Medicine, Infectious Diseases, Food Science, Pollution and Ecology, having authored 33 papers that have together received 808 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (19 papers), Salmonella and Campylobacter epidemiology (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Bacteriophages and microbial interactions (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Mycobacterium research and diagnosis (4 papers), Escherichia coli research studies (4 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Molecular Medicine (363 citations), Endocrinology (157 citations), Food Science (364 citations), Pollution (160 citations) and Infectious Diseases (193 citations). Lining Xia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Congming Wu, Jianzhong Shen, Lei Dai, Yang Wang, Xia Chen, Pengjie Luo, Si‐Yang Huang, Qijing Zhang, Beibei Li and Lei Dai. Their work appears in journals such as Foodborne Pathogens and Disease, Veterinary Microbiology, Frontiers in Veterinary Science, International Journal of Environmental Research and Public Health and Research in Veterinary Science.
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.