Jinru Ji
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
- Escherichia coli research studies
Papers in
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- Antibiotic Resistance in Bacteria 26
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- Antibiotics Pharmacokinetics and Efficacy 9
- Co-authors
- Yonghong Xiao (26 shared papers)Beiwen Zheng (16 shared papers)Ping Shen (18 shared papers)Lanjuan Li (8 shared papers)Jing Zhang (5 shared papers)Zeqing Wei (3 shared papers)Chaoqun Ying (17 shared papers)Lina Zhao (1 shared paper)
- Journals
- Emerging Microbes & Infections (3 papers)Frontiers in Microbiology (3 papers)International Journal of Antimicrobial Agents (3 papers)Frontiers in Cellular and Infection Microbiology (2 papers)Drug Design Development and Therapy (2 papers)
- Partner nations
- ChinaUnited StatesBelarus
In The Last Decade
Jinru Ji
32 papers receiving 651 citations
Peers
Comparison fields: 5 of 72
- Molecular Medicine 429
- Endocrinology 148
- Applied Microbiology and Biotechnology 43
- Pollution 98
- Clinical Biochemistry 43
Countries citing papers authored by Jinru Ji
This map shows the geographic impact of Jinru Ji'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 Jinru Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinru Ji more than expected).
Fields of papers citing papers by Jinru Ji
This network shows the impact of papers produced by Jinru Ji. 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 Jinru Ji. The network helps show where Jinru Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinru Ji, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 139 | |
| 2 | 2024 | 63 | |
| 3 | 2016 | 55 | |
| 4 | 2015 | 49 | |
| 5 | 2017 | 36 | |
| 6 | 2015 | 32 | |
| 7 | 2016 | 26 | |
| 8 | 2022 | 22 | |
| 9 | 2021 | 21 | |
| 10 | 2019 | 21 | |
| 11 | 2020 | 19 | |
| 12 | 2017 | 18 | |
| 13 | 2014 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2017 | 14 | |
| 16 | 2020 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2025 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2021 | 9 |
About Jinru Ji
Jinru Ji is a scholar working on Molecular Medicine, Pharmacology, Endocrinology, Molecular Biology and Epidemiology, having authored 33 papers that have together received 655 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (26 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers), Antibiotic Use and Resistance (5 papers), Vibrio bacteria research studies (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Bacterial biofilms and quorum sensing (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (3 papers). The work is most often cited by research in Molecular Medicine (429 citations), Endocrinology (148 citations), Applied Microbiology and Biotechnology (43 citations), Pollution (98 citations) and Clinical Biochemistry (43 citations). Jinru Ji has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Yonghong Xiao, Beiwen Zheng, Ping Shen, Lanjuan Li, Jing Zhang, Zeqing Wei, Chaoqun Ying, Lina Zhao, Yunbo Chen and Kai Zhou. Their work appears in journals such as Emerging Microbes & Infections, Frontiers in Microbiology, International Journal of Antimicrobial Agents, Frontiers in Cellular and Infection Microbiology and Drug Design Development and Therapy.
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.