Han Xia
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
- Epidemiology 14
- Mycobacterium research and diagnosis 4
- Cytomegalovirus and herpesvirus research 4
- Fungal Infections and Studies 2
- Co-authors
- Andy Neely (2 shared papers)Veronica Martinez (2 shared papers)Pável Albores (1 shared paper)Yuanlin Guan (5 shared papers)Zheng Lou (8 shared papers)Honglai Liu (4 shared papers)Tianyan Chen (3 shared papers)Zhelong Liu (3 shared papers)
- Journals
- Frontiers in Cellular and Infection Microbiology (8 papers)BMC Infectious Diseases (5 papers)Microbiology Spectrum (4 papers)Frontiers in Microbiology (2 papers)Carbon (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Han Xia
76 papers receiving 944 citations
Peers
Comparison fields: 5 of 139
- Microbiology 6
- Molecular Medicine 39
- Management Information Systems 75
- Infectious Diseases 114
- Strategy and Management 100
Countries citing papers authored by Han Xia
This map shows the geographic impact of Han 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 Han Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Xia more than expected).
Fields of papers citing papers by Han Xia
This network shows the impact of papers produced by Han 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 Han Xia. The network helps show where Han Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Han 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 151 | |
| 2 | 2021 | 98 | |
| 3 | 2022 | 52 | |
| 4 | 2023 | 50 | |
| 5 | 2020 | 38 | |
| 6 | 2020 | 34 | |
| 7 | 2023 | 33 | |
| 8 | 2022 | 31 | |
| 9 | 2022 | 28 | |
| 10 | 2022 | 24 | |
| 11 | 2022 | 22 | |
| 12 | 2012 | 22 | |
| 13 | 2022 | 20 | |
| 14 | 2022 | 19 | |
| 15 | 2024 | 19 | |
| 16 | 2011 | 19 | |
| 17 | 2022 | 19 | |
| 18 | 2023 | 18 | |
| 19 | 2022 | 17 | |
| 20 | 2010 | 17 |
About Han Xia
Han Xia is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Artificial Intelligence and Electrical and Electronic Engineering, having authored 84 papers that have together received 971 indexed citations. Recurring topics across this work include Advanced Algorithms and Applications (5 papers), Antifungal resistance and susceptibility (5 papers), Antibiotic Resistance in Bacteria (4 papers), Mycobacterium research and diagnosis (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Advanced Computational Techniques and Applications (3 papers) and Fungal Infections and Studies (2 papers). The work is most often cited by research in Microbiology (6 citations), Molecular Medicine (39 citations), Management Information Systems (75 citations), Infectious Diseases (114 citations) and Strategy and Management (100 citations). Han Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Andy Neely, Veronica Martinez, Pável Albores, Yuanlin Guan, Zheng Lou, Honglai Liu, Tianyan Chen, Zhelong Liu, Kai Ye and Wenhua Shi. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, BMC Infectious Diseases, Microbiology Spectrum, Frontiers in Microbiology and Carbon.
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.