Daojun Yu
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial biofilms and quorum sensing 3
- Molecular Biology Techniques and Applications 2
- Inflammasome and immune disorders 2
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- Fungal Infections and Studies 2
- Co-authors
- Yueming Chen (9 shared papers)Xueyan Dong (5 shared papers)Xianjun Wang (4 shared papers)Songzhe He (3 shared papers)Xianjun Wang (3 shared papers)Weiying Zhang (2 shared papers)Wenxia Shao (2 shared papers)Hui Ye (1 shared paper)
In The Last Decade
Daojun Yu
31 papers receiving 470 citations
Peers
Comparison fields: 5 of 97
- Molecular Medicine 90
- Applied Microbiology and Biotechnology 11
- Endocrinology 27
- Pollution 59
- Infectious Diseases 81
Countries citing papers authored by Daojun Yu
This map shows the geographic impact of Daojun Yu'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 Daojun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daojun Yu more than expected).
Fields of papers citing papers by Daojun Yu
This network shows the impact of papers produced by Daojun Yu. 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 Daojun Yu. The network helps show where Daojun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daojun Yu, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 79 | |
| 2 | 2017 | 63 | |
| 3 | 2022 | 39 | |
| 4 | 2015 | 34 | |
| 5 | Serum miR-96 is a promising biomarker for hepatocellular carcinoma in patients with chronic hepatitis B virus infection. | 2015 | 32 |
| 6 | 2015 | 24 | |
| 7 | 2018 | 17 | |
| 8 | Case report: Staphylococcus gallinarum bacteremia in a patient with chronic hepatitis B virus infection. | 2008 | 16 |
| 9 | 2008 | 16 | |
| 10 | 2023 | 15 | |
| 11 | 2008 | 14 | |
| 12 | 2022 | 13 | |
| 13 | HBV Subgenotype C2 Infection, A1762T/G1764A Mutations May Contribute To Hepatocellular Carcinoma with Cirrhosis in Southeast China. | 2012 | 12 |
| 14 | 2012 | 12 | |
| 15 | 2020 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2015 | 9 | |
| 18 | 2009 | 8 | |
| 19 | 2011 | 8 | |
| 20 | 2018 | 8 |
About Daojun Yu
Daojun Yu is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Molecular Medicine and Health, Toxicology and Mutagenesis, having authored 35 papers that have together received 481 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Bacterial biofilms and quorum sensing (3 papers), Vibrio bacteria research studies (2 papers), Fungal Infections and Studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Trace Elements in Health (2 papers), Molecular Biology Techniques and Applications (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Molecular Medicine (90 citations), Applied Microbiology and Biotechnology (11 citations), Endocrinology (27 citations), Pollution (59 citations) and Infectious Diseases (81 citations). Daojun Yu has collaborated with scholars based in China, Germany and Latvia. Frequent co-authors include Yueming Chen, Xueyan Dong, Xianjun Wang, Songzhe He, Xianjun Wang, Weiying Zhang, Wenxia Shao, Hui Ye, Shuchang Chen and Hui He. Their work appears in journals such as Biological Trace Element Research, Diagnostic Pathology, PLoS ONE, Frontiers in Microbiology and BMC Pharmacology and Toxicology.
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.