Beijing Institute of Microbiology and Epidemiology
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- COVID-19 Clinical Research Studies
- Parasitology top 2%
- Vector-borne infectious diseases
Papers in
-
- SARS-CoV-2 and COVID-19 Research 218
- Viral Infections and Vectors 139
- Parasitology 205
- Vector-borne infectious diseases 198
- Top scholars
- Yusen ZhouYang RuifuShi JiangCheng‐Feng QinWu‐Chun CaoLanying DuWei Yong LiuDongsheng Zhou
- Journals
- PLoS ONE (120 papers)Frontiers in Microbiology (95 papers)Scientific Reports (55 papers)Journal of Virology (50 papers)Frontiers in Cellular and Infection Microbiology (49 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Beijing Institute of Microbiology and Epidemiology
2.6k papers receiving 96.2k citations
Peers
Comparison fields: 5 of 225
- Infectious Diseases 29k
- Parasitology 5.4k
- Endocrinology 2k
- Molecular Medicine 2.4k
- Modeling and Simulation 1.8k
Countries citing scholars working at Beijing Institute of Microbiology and Epidemiology
This map shows the geographic impact of research produced by authors working at Beijing Institute of Microbiology and Epidemiology. 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 papers produced at Beijing Institute of Microbiology and Epidemiology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beijing Institute of Microbiology and Epidemiology more than expected).
Fields of papers published by authors at Beijing Institute of Microbiology and Epidemiology
This network shows the impact of papers affiliated with Beijing Institute of Microbiology and Epidemiology at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Beijing Institute of Microbiology and Epidemiology at the time of their publication.
About Beijing Institute of Microbiology and Epidemiology
In recent decades, authors affiliated with Beijing Institute of Microbiology and Epidemiology have published 2.7k papers, which have received a total of 96.3k indexed citations . Scholars at this organization have produced 569 papers in Infectious Diseases, 205 papers in Parasitology, 106 papers in Virology, 88 papers in Endocrinology and 101 papers in Molecular Medicine on the topics of Mosquito-borne diseases and control (277 papers), SARS-CoV-2 and COVID-19 Research (218 papers), Vector-borne infectious diseases (198 papers), Influenza Virus Research Studies (164 papers), Yersinia bacterium, plague, ectoparasites research (159 papers), Viral Infections and Vectors (139 papers), Antibiotic Resistance in Bacteria (99 papers) and Bacteriophages and microbial interactions (90 papers). Their work is cited by papers focused on Infectious Diseases (29k citations), Parasitology (5.4k citations), Endocrinology (2k citations), Molecular Medicine (2.4k citations) and Modeling and Simulation (1.8k citations). Authors at Beijing Institute of Microbiology and Epidemiology collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including PLoS ONE, Frontiers in Microbiology, Scientific Reports, Journal of Virology and Frontiers in Cellular and Infection Microbiology. Some of Beijing Institute of Microbiology and Epidemiology's most productive authors include Yusen Zhou, Yang Ruifu, Shi Jiang, Cheng‐Feng Qin, Wu‐Chun Cao, Lanying Du, Wei Yong Liu, Dongsheng Zhou, Yigang Tong and Yuxian He.
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.