Ziyong Sun
- Infectious Diseases top 0.05%
- Neurology top 0.1%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Oncology top 0.5%
- Epidemiology top 1%
- Topics
- Tuberculosis Research and Epidemiology (32 papers)Antibiotic Resistance in Bacteria (32 papers)COVID-19 Clinical Research Studies (22 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ziyong Sun
165 papers receiving 14.7k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Infectious Diseases 9.8k
- Neurology 3.7k
- Radiology, Nuclear Medicine and Imaging 3.0k
- Oncology 2.7k
- Epidemiology 2.1k
Countries citing papers authored by Ziyong Sun
This map shows the geographic impact of Ziyong Sun'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 Ziyong Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziyong Sun more than expected).
Fields of papers citing papers by Ziyong Sun
This network shows the impact of papers produced by Ziyong Sun. 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 Ziyong Sun. The network helps show where Ziyong Sun may publish in the future.
Co-authorship network of co-authors of Ziyong Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Ziyong Sun. A scholar is included among the top collaborators of Ziyong Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ziyong Sun. Ziyong Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | Antimicrobial Resistance Among Pathogens Causing Bloodstream Infections: A Multicenter Surveillance Report Over 20 Years (1998–2017) | 13 |
| 7 | 6 | |
| 8 | 17 | |
| 9 | 9 | |
| 10 | 18 | |
| 11 | 13 | |
| 12 | Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumoniabreakdown → | 3900 |
| 13 | 1 | |
| 14 | 14 | |
| 15 | 19 | |
| 16 | [Antimicrobial resistance monitoring of gram-negative bacilli isolated from 15 teaching hospitals in 2014 in China]. | 6 |
| 17 | [Antimicrobial resistance of Gram-negative bacilli isolated from 13 teaching hospitals across China]. | 6 |
| 18 | 1 | |
| 19 | 69 | |
| 20 | 3 |
About Ziyong Sun
Ziyong Sun is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 169 papers that have together received 15.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (32 papers), Antibiotic Resistance in Bacteria (32 papers) and COVID-19 Clinical Research Studies (22 papers). The work is most often cited by research in Infectious Diseases (9.8k citations), Internal Medicine (1.3k citations) and Neurology (3.7k citations). Ziyong Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ning Tang, Dengju Li, Xiong Wang, Hongyan Hou, Liming Xia, Chenao Zhan, Zhenlu Yang, Tao Ai, Qian Tao and Chong Chen. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.
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.