Junxia Feng
Impact in
- Virology top 10%
- Poxvirus research and outbreaks
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Bacterial biofilms and quorum sensing 2
-
- Chronic Kidney Disease and Diabetes 3
- Acute Kidney Injury Research 3
- Dialysis and Renal Disease Management 3
- Co-authors
- Shili Zhao (8 shared papers)Hongyan Li (7 shared papers)Yunfang Zhang (11 shared papers)Ping Meng (8 shared papers)Jingchun Li (3 shared papers)Xuejuan Gao (7 shared papers)Guanhua Xue (15 shared papers)Jing Yuan (13 shared papers)
- Journals
- Microbiology Spectrum (5 papers)Frontiers in Cellular and Infection Microbiology (3 papers)Bioscience Reports (3 papers)Frontiers in Microbiology (3 papers)Annals of Translational Medicine (2 papers)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Junxia Feng
46 papers receiving 542 citations
Peers
Comparison fields: 5 of 90
- Virology 44
- Nephrology 60
- Molecular Medicine 26
- Endocrinology 21
- Molecular Biology 280
Countries citing papers authored by Junxia Feng
This map shows the geographic impact of Junxia Feng'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 Junxia Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxia Feng more than expected).
Fields of papers citing papers by Junxia Feng
This network shows the impact of papers produced by Junxia Feng. 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 Junxia Feng. The network helps show where Junxia Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Junxia Feng, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 45 | |
| 2 | 2018 | 43 | |
| 3 | 2021 | 32 | |
| 4 | 2018 | 31 | |
| 5 | 2016 | 27 | |
| 6 | 2019 | 25 | |
| 7 | 2022 | 23 | |
| 8 | 2020 | 23 | |
| 9 | 2024 | 19 | |
| 10 | 2018 | 19 | |
| 11 | 2014 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2018 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2021 | 10 |
About Junxia Feng
Junxia Feng is a scholar working on Molecular Biology, Nephrology, Radiology, Nuclear Medicine and Imaging, Molecular Medicine and Epidemiology, having authored 47 papers that have together received 547 indexed citations. Recurring topics across this work include Plasma Applications and Diagnostics (7 papers), Antibiotic Resistance in Bacteria (7 papers), Mycotoxins in Agriculture and Food (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Acute Kidney Injury Research (3 papers), Dialysis and Renal Disease Management (3 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Virology (44 citations), Nephrology (60 citations), Molecular Medicine (26 citations), Endocrinology (21 citations) and Molecular Biology (280 citations). Junxia Feng has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Shili Zhao, Hongyan Li, Yunfang Zhang, Ping Meng, Jingchun Li, Xuejuan Gao, Guanhua Xue, Jing Yuan, Jinghua Cui and Yanling Feng. Their work appears in journals such as Microbiology Spectrum, Frontiers in Cellular and Infection Microbiology, Bioscience Reports, Frontiers in Microbiology and Annals of Translational Medicine.
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.