Ruojing Bai
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- Neuroinflammation and Neurodegeneration Mechanisms
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
- Virology 8
- HIV Research and Treatment 8
-
- S100 Proteins and Annexins 1
- Co-authors
- Lili Dai (7 shared papers)Fanglian Chen (4 shared papers)Shiyun Lv (9 shared papers)Xintong Ge (4 shared papers)Huabin Gao (4 shared papers)Zhaoli Han (4 shared papers)Shan Huang (3 shared papers)Ping Lei (3 shared papers)
- Journals
- Infection and Drug Resistance (2 papers)AIDS Research and Therapy (1 paper)Disease Markers (1 paper)BMC Medical Genomics (1 paper)Brain Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ruojing Bai
21 papers receiving 281 citations
Peers
Comparison fields: 5 of 62
- Virology 51
- Neurology 41
- Emergency Medicine 38
- Biological Psychiatry 9
- Neurology 44
Countries citing papers authored by Ruojing Bai
This map shows the geographic impact of Ruojing 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 Ruojing Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruojing Bai more than expected).
Fields of papers citing papers by Ruojing Bai
This network shows the impact of papers produced by Ruojing 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 Ruojing Bai. The network helps show where Ruojing Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruojing 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 57 | |
| 2 | 2016 | 34 | |
| 3 | 2022 | 27 | |
| 4 | 2017 | 22 | |
| 5 | 2022 | 18 | |
| 6 | 2024 | 16 | |
| 7 | 2017 | 16 | |
| 8 | 2020 | 16 | |
| 9 | 2023 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2025 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2024 | 1 |
About Ruojing Bai
Ruojing Bai is a scholar working on Virology, Molecular Biology, Infectious Diseases, Neurology and Neurology, having authored 21 papers that have together received 284 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), HIV/AIDS Research and Interventions (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), HIV/AIDS drug development and treatment (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), HIV-related health complications and treatments (2 papers), Fatty Acid Research and Health (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Virology (51 citations), Neurology (41 citations), Emergency Medicine (38 citations), Biological Psychiatry (9 citations) and Neurology (44 citations). Ruojing Bai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lili Dai, Fanglian Chen, Shiyun Lv, Xintong Ge, Huabin Gao, Zhaoli Han, Shan Huang, Ping Lei, Jun Guo and Hao Wu. Their work appears in journals such as Infection and Drug Resistance, AIDS Research and Therapy, Disease Markers, BMC Medical Genomics and Brain Research.
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.