Zhi Xiang
- Infectious Diseases top 10%
- Microbiology top 5%
- Neurology
- Epidemiology
- Physiology
- Co-authors
- Peng HuangDingding DengYue-Ping YinPing ChenXiang‐Sheng ChenMingyan JiangWenlong LiuMeiqin Shi
- Topics
- Reproductive tract infections research (6 papers)COVID-19 Clinical Research Studies (6 papers)Long-Term Effects of COVID-19 (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEBMC Public Health
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Zhi Xiang
22 papers receiving 333 citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 150
- Microbiology 78
- Neurology 71
- Epidemiology 69
- Physiology 47
Countries citing papers authored by Zhi Xiang
This map shows the geographic impact of Zhi Xiang'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 Zhi Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhi Xiang more than expected).
Fields of papers citing papers by Zhi Xiang
This network shows the impact of papers produced by Zhi Xiang. 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 Zhi Xiang. The network helps show where Zhi Xiang may publish in the future.
Co-authorship network of co-authors of Zhi Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhi Xiang. A scholar is included among the top collaborators of Zhi Xiang 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 Zhi Xiang. Zhi Xiang 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 | 0 | |
| 4 | 8 | |
| 5 | 53 | |
| 6 | 6 | |
| 7 | Different Characteristics of Ex-Smokers and Current Smokers with COPD: A Cross-Sectional Study in China | 1 |
| 8 | Multiple Factor Analysis of Depression and/or Anxiety in Patients with Acute Exacerbation Chronic Obstructive Pulmonary Disease | 2 |
| 9 | Differences of clinical features between smokers and non-smokers with chronic obstructive pulmonary disease | 1 |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 98 | |
| 13 | 6 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 30 | |
| 17 | 12 | |
| 18 | 1 | |
| 19 | 24 | |
| 20 | 10 |
About Zhi Xiang
Zhi Xiang is a scholar working on Microbiology, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 24 papers that have together received 336 indexed citations. Recurring topics across this work include Reproductive tract infections research (6 papers), COVID-19 Clinical Research Studies (6 papers) and Long-Term Effects of COVID-19 (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (38 citations), Microbiology (78 citations) and Infectious Diseases (150 citations). Zhi Xiang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Peng Huang, Dingding Deng, Yue-Ping Yin, Ping Chen, Xiang‐Sheng Chen, Mingyan Jiang, Wenlong Liu, Meiqin Shi, Shengyang He and Lihua Xie. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Public Health.
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.