Jun Hu
Impact in
- Infectious Diseases top 2%
- Antifungal resistance and susceptibility
Papers in
- Neurology 17
- Amyotrophic Lateral Sclerosis Research 8
- Traumatic Brain Injury and Neurovascular Disturbances 5
- Co-authors
- Daniel J. Diekema (1 shared paper)Stephen H. Gillespie (1 shared paper)Kyungwon Lee (1 shared paper)S. A. Messer (1 shared paper)Ólafur Guðlaugsson (1 shared paper)Loreen A. Herwaldt (1 shared paper)Michael A. Pfaller (1 shared paper)Hua Feng (5 shared papers)
- Journals
- Frontiers in Neuroscience (4 papers)Molecular Neurobiology (2 papers)Medicine (2 papers)Molecular Plant Pathology (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Hu
118 papers receiving 2.8k citations
Jun Hu's Hit Papers
Peers
Comparison fields: 5 of 127
- Infectious Diseases 827
- Applied Microbiology and Biotechnology 75
- Epidemiology 593
- Nutrition and Dietetics 232
- Neurology 185
Countries citing papers authored by Jun Hu
This map shows the geographic impact of Jun Hu'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 Jun Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hu more than expected).
Fields of papers citing papers by Jun Hu
This network shows the impact of papers produced by Jun Hu. 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 Jun Hu. The network helps show where Jun Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Hu, 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Attributable Mortality of Nosocomial Candidemia, Revisited Hit paper breakdown → | 2003 | 956 |
| 2 | 2000 | 147 | |
| 3 | 2010 | 135 | |
| 4 | 2019 | 105 | |
| 5 | 1997 | 103 | |
| 6 | 2008 | 68 | |
| 7 | 2018 | 59 | |
| 8 | 2012 | 54 | |
| 9 | 2017 | 53 | |
| 10 | 2012 | 51 | |
| 11 | 2018 | 49 | |
| 12 | 2021 | 46 | |
| 13 | 2016 | 43 | |
| 14 | 2018 | 41 | |
| 15 | 2020 | 40 | |
| 16 | 2016 | 39 | |
| 17 | 2018 | 34 | |
| 18 | 2016 | 30 | |
| 19 | 2011 | 30 | |
| 20 | 2016 | 30 |
About Jun Hu
Jun Hu is a scholar working on Molecular Biology, Neurology, Epidemiology, Surgery and Cellular and Molecular Neuroscience, having authored 134 papers that have together received 2.8k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (8 papers), Functional Brain Connectivity Studies (7 papers), Acute Ischemic Stroke Management (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Mesenchymal stem cell research (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers) and Wound Healing and Treatments (4 papers). The work is most often cited by research in Infectious Diseases (827 citations), Applied Microbiology and Biotechnology (75 citations), Epidemiology (593 citations), Nutrition and Dietetics (232 citations) and Neurology (185 citations). Jun Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Daniel J. Diekema, Stephen H. Gillespie, Kyungwon Lee, S. A. Messer, Ólafur Guðlaugsson, Loreen A. Herwaldt, Michael A. Pfaller, Hua Feng, Jiuquan Zhang and Dinglin Zhang. Their work appears in journals such as Frontiers in Neuroscience, Molecular Neurobiology, Medicine, Molecular Plant Pathology and Scientific Reports.
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.