Guo‐Bao Tian
- Molecular Medicine top 0.02%
- Pollution top 0.2%
- Endocrinology top 0.1%
- Molecular Biology top 5%
- Pharmacology top 0.5%
- Co-authors
- Yohei DoiXi HuangJianzhong ShenYang WangRong ZhangHongwei ZhouTimothy R. WalshHongwei Ren
- Topics
- Antibiotic Resistance in Bacteria (54 papers)Pharmaceutical and Antibiotic Environmental Impacts (20 papers)Antibiotics Pharmacokinetics and Efficacy (11 papers)
- Journals
- Nature MedicineSHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Guo‐Bao Tian
82 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Medicine 5.4k
- Pollution 2.4k
- Endocrinology 1.9k
- Molecular Biology 1.4k
- Pharmacology 1.2k
Countries citing papers authored by Guo‐Bao Tian
This map shows the geographic impact of Guo‐Bao Tian'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 Guo‐Bao Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo‐Bao Tian more than expected).
Fields of papers citing papers by Guo‐Bao Tian
This network shows the impact of papers produced by Guo‐Bao Tian. 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 Guo‐Bao Tian. The network helps show where Guo‐Bao Tian may publish in the future.
Co-authorship network of co-authors of Guo‐Bao Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Bao Tian. A scholar is included among the top collaborators of Guo‐Bao Tian 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 Guo‐Bao Tian. Guo‐Bao Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 9 | |
| 7 | 18 | |
| 8 | 19 | |
| 9 | 51 | |
| 10 | 6 | |
| 11 | 29 | |
| 12 | 38 | |
| 13 | 41 | |
| 14 | 26 | |
| 15 | 212 | |
| 16 | Emergence of plasmid-mediated colistin resistance mechanism MCR-1 in animals and human beings in China: a microbiological and molecular biological studybreakdown → | 3933 |
| 17 | 28 | |
| 18 | 116 | |
| 19 | 21 | |
| 20 | 50 |
About Guo‐Bao Tian
Guo‐Bao Tian is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 85 papers that have together received 6.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (54 papers), Pharmaceutical and Antibiotic Environmental Impacts (20 papers) and Antibiotics Pharmacokinetics and Efficacy (11 papers). The work is most often cited by research in Molecular Medicine (5.4k citations), Endocrinology (1.9k citations) and Applied Microbiology and Biotechnology (608 citations). Guo‐Bao Tian has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Yohei Doi, Xi Huang, Jianzhong Shen, Yang Wang, Rong Zhang, Hongwei Zhou, Timothy R. Walsh, Hongwei Ren, Jian–Hua Liu and Lingxian Yi. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and ACS Nano.
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.