Tiejun Mi
Impact in
- Pharmacology top 10%
- Antibiotics Pharmacokinetics and Efficacy
- Analytical Chemistry top 5%
- Analytical chemistry methods development
Papers in
-
- Antibiotic Resistance in Bacteria 4
-
- Antibiotics Pharmacokinetics and Efficacy 6
- Co-authors
- Zhanhui Wang (11 shared papers)Jianzhong Shen (10 shared papers)Suxia Zhang (5 shared papers)Kai Wen (4 shared papers)Huiyan Zhang (3 shared papers)Suxia Zhang (3 shared papers)Sergei Alexandrovich Eremin (3 shared papers)Xiya Zhang (3 shared papers)
- Journals
- Journal of Agricultural and Food Chemistry (3 papers)Food Control (1 paper)Analytical and Bioanalytical Chemistry (1 paper)Sensors and Actuators B Chemical (1 paper)Molecules (1 paper)
- Partner nations
- ChinaRussiaUnited States
In The Last Decade
Tiejun Mi
15 papers receiving 576 citations
Peers
Comparison fields: 5 of 69
- Pharmacology 126
- Analytical Chemistry 77
- Molecular Medicine 31
- Animal Science and Zoology 58
- Pollution 66
Countries citing papers authored by Tiejun Mi
This map shows the geographic impact of Tiejun Mi'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 Tiejun Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiejun Mi more than expected).
Fields of papers citing papers by Tiejun Mi
This network shows the impact of papers produced by Tiejun Mi. 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 Tiejun Mi. The network helps show where Tiejun Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiejun Mi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 77 | |
| 2 | 2014 | 70 | |
| 3 | 2007 | 66 | |
| 4 | 2013 | 65 | |
| 5 | 2017 | 48 | |
| 6 | 2015 | 46 | |
| 7 | 2014 | 42 | |
| 8 | 2020 | 33 | |
| 9 | 2014 | 26 | |
| 10 | 2013 | 26 | |
| 11 | 2019 | 26 | |
| 12 | 2013 | 20 | |
| 13 | 2012 | 16 | |
| 14 | 2008 | 13 | |
| 15 | 2015 | 12 |
About Tiejun Mi
Tiejun Mi is a scholar working on Molecular Medicine, Pharmacology, Analytical Chemistry, Radiology, Nuclear Medicine and Imaging and Plant Science, having authored 15 papers that have together received 586 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (6 papers), Antibiotic Resistance in Bacteria (4 papers), Mycotoxins in Agriculture and Food (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Biosensors and Analytical Detection (3 papers), Pneumonia and Respiratory Infections (2 papers), Synthesis and Biological Evaluation (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Pharmacology (126 citations), Analytical Chemistry (77 citations), Molecular Medicine (31 citations), Animal Science and Zoology (58 citations) and Pollution (66 citations). Tiejun Mi has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Zhanhui Wang, Jianzhong Shen, Suxia Zhang, Kai Wen, Huiyan Zhang, Suxia Zhang, Sergei Alexandrovich Eremin, Xiya Zhang, Chenglong Li and Sijun Zhao. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Control, Analytical and Bioanalytical Chemistry, Sensors and Actuators B Chemical and Molecules.
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.