Wei Long
Impact in
-
- Antibiotic Use and Resistance
-
- Nosocomial Infections in ICU
Papers in
- Epidemiology 12
- Pneumonia and Respiratory Infections 6
- Sepsis Diagnosis and Treatment 6
-
- Genomics and Phylogenetic Studies 2
- Co-authors
- Juan Xie (5 shared papers)Philipp Schüetz (4 shared papers)Xingqi Deng (3 shared papers)Heiner C. Bucher (3 shared papers)Olaf Burkhardt (3 shared papers)Jean Chastre (3 shared papers)Daiana Stolz (3 shared papers)Kristina B Kristoffersen (3 shared papers)
- Journals
- Frontiers in Medicine (3 papers)Frontiers in Pharmacology (3 papers)Critical Care (2 papers)Food & Function (2 papers)BMC Plant Biology (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Wei Long
39 papers receiving 915 citations
Peers
Comparison fields: 5 of 126
- Applied Microbiology and Biotechnology 101
- Critical Care and Intensive Care Medicine 215
- Epidemiology 378
- Clinical Biochemistry 69
- Infectious Diseases 138
Countries citing papers authored by Wei Long
This map shows the geographic impact of Wei Long'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 Wei Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Long more than expected).
Fields of papers citing papers by Wei Long
This network shows the impact of papers produced by Wei Long. 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 Wei Long. The network helps show where Wei Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Long, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 181 | |
| 2 | 2013 | 72 | |
| 3 | 2011 | 68 | |
| 4 | 2020 | 53 | |
| 5 | 2020 | 53 | |
| 6 | 2015 | 40 | |
| 7 | 2019 | 37 | |
| 8 | 2021 | 36 | |
| 9 | 2016 | 33 | |
| 10 | 2013 | 31 | |
| 11 | 2020 | 28 | |
| 12 | 2020 | 27 | |
| 13 | 2023 | 22 | |
| 14 | 2014 | 22 | |
| 15 | 2021 | 21 | |
| 16 | 2021 | 19 | |
| 17 | 2021 | 19 | |
| 18 | 2018 | 19 | |
| 19 | 2018 | 19 | |
| 20 | 2020 | 18 |
About Wei Long
Wei Long is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Critical Care and Intensive Care Medicine and Neurology, having authored 41 papers that have together received 936 indexed citations. Recurring topics across this work include Nosocomial Infections in ICU (7 papers), COVID-19 Clinical Research Studies (7 papers), Pneumonia and Respiratory Infections (6 papers), Sepsis Diagnosis and Treatment (6 papers), Coastal wetland ecosystem dynamics (5 papers), Long-Term Effects of COVID-19 (4 papers), Inflammation biomarkers and pathways (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (101 citations), Critical Care and Intensive Care Medicine (215 citations), Epidemiology (378 citations), Clinical Biochemistry (69 citations) and Infectious Diseases (138 citations). Wei Long has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Juan Xie, Philipp Schüetz, Xingqi Deng, Heiner C. Bucher, Olaf Burkhardt, Jean Chastre, Daiana Stolz, Kristina B Kristoffersen, Michel Wolff and Matthias Briel. Their work appears in journals such as Frontiers in Medicine, Frontiers in Pharmacology, Critical Care, Food & Function and BMC Plant Biology.
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.