Ruolan Bai
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
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- Viral Infections and Vectors
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 detection and testing
Papers in
-
- Viral Infections and Vectors 5
- Tuberculosis Research and Epidemiology 3
-
- Vector-borne infectious diseases 6
- Co-authors
- Fukai Bao (13 shared papers)Miaomiao Jian (12 shared papers)Zhenhua Ji (12 shared papers)Zhe Ding (10 shared papers)Mingbiao Ma (9 shared papers)Lvyan Tao (7 shared papers)Aihua Liu (7 shared papers)Haiyi Li (1 shared paper)
- Journals
- Bioscience Reports (3 papers)Journal of Interferon & Cytokine Research (1 paper)International Journal of Medical Sciences (1 paper)Biomedicine & Pharmacotherapy (1 paper)Human Vaccines & Immunotherapeutics (1 paper)
- Partner nations
- China
In The Last Decade
Ruolan Bai
14 papers receiving 285 citations
Peers
Comparison fields: 5 of 76
- Parasitology 40
- Infectious Diseases 103
- Endocrinology 17
- Immunology 34
- Epidemiology 51
Countries citing papers authored by Ruolan Bai
This map shows the geographic impact of Ruolan Bai'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 Ruolan Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruolan Bai more than expected).
Fields of papers citing papers by Ruolan Bai
This network shows the impact of papers produced by Ruolan Bai. 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 Ruolan Bai. The network helps show where Ruolan Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruolan Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 185 | |
| 2 | 2016 | 23 | |
| 3 | 2019 | 19 | |
| 4 | 2017 | 12 | |
| 5 | 2020 | 9 | |
| 6 | 2019 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2019 | 6 | |
| 9 | 2018 | 6 | |
| 10 | 2019 | 5 | |
| 11 | 2018 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2018 | 2 | |
| 14 | 2019 | 2 |
About Ruolan Bai
Ruolan Bai is a scholar working on Infectious Diseases, Parasitology, Molecular Biology, Immunology and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 291 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (6 papers), Viral Infections and Vectors (5 papers), Tuberculosis Research and Epidemiology (3 papers), Immune Response and Inflammation (2 papers), vaccines and immunoinformatics approaches (2 papers), Mosquito-borne diseases and control (2 papers), Mycobacterium research and diagnosis (2 papers) and Evolution and Genetic Dynamics (1 paper). The work is most often cited by research in Parasitology (40 citations), Infectious Diseases (103 citations), Endocrinology (17 citations), Immunology (34 citations) and Epidemiology (51 citations). Ruolan Bai has collaborated with scholars based in China. Frequent co-authors include Fukai Bao, Miaomiao Jian, Zhenhua Ji, Zhe Ding, Mingbiao Ma, Lvyan Tao, Aihua Liu, Haiyi Li, Zhenyu Zhao and Aihua Liu. Their work appears in journals such as Bioscience Reports, Journal of Interferon & Cytokine Research, International Journal of Medical Sciences, Biomedicine & Pharmacotherapy and Human Vaccines & Immunotherapeutics.
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.