Lanlan Bai
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 17
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- T-cell and Retrovirus Studies 18
- Immune Response and Inflammation 3
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- Vector-Borne Animal Diseases 15
- Periodontics top 10%
- Microbiology top 10%
- Antimicrobial Peptides and Activities 3
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- Virus-based gene therapy research 4
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- Biochemical and Structural Characterization 3
- Molecular Biology Techniques and Applications 2
- Co-authors
- Yoko AidaEmiko IsogaiHirotaka SatoShin‐nosuke TakeshimaHiroshi YoneyamaLiushiqi BorjiginSatoshi WadaJunko Kohara
- Journals
- Analytical Biochemistry (1 paper)The FASEB Journal (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Lanlan Bai
28 papers receiving 333 citations
Peers
Comparison fields: 5 of 59
- Agronomy and Crop Science 181
- Immunology 211
- Ecology, Evolution, Behavior and Systematics 156
- Periodontics 30
- Microbiology 37
Countries citing papers authored by Lanlan Bai
This map shows the geographic impact of Lanlan 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 Lanlan Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanlan Bai more than expected).
Fields of papers citing papers by Lanlan Bai
This network shows the impact of papers produced by Lanlan 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 Lanlan Bai. The network helps show where Lanlan Bai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lanlan 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 6 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 14 | |
| 15 | 2019 | 33 | |
| 16 | 2018 | 13 | |
| 17 | 2015 | 1 | |
| 18 | 2015 | 20 | |
| 19 | 2014 | 11 | |
| 20 | 2011 | 17 |
About Lanlan Bai
Lanlan Bai is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 32 papers that have together received 343 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (18 papers), Animal Disease Management and Epidemiology (17 papers), Vector-Borne Animal Diseases (15 papers), Virus-based gene therapy research (4 papers), Antimicrobial Peptides and Activities (3 papers), Biochemical and Structural Characterization (3 papers), Immune Response and Inflammation (3 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Agronomy and Crop Science (181 citations), Immunology (211 citations) and Ecology, Evolution, Behavior and Systematics (156 citations). Lanlan Bai has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yoko Aida, Emiko Isogai, Hirotaka Sato, Shin‐nosuke Takeshima, Hiroshi Yoneyama, Liushiqi Borjigin, Satoshi Wada, Junko Kohara, Hiroshi Ishizaki and Kumiko Ito. Their work appears in journals such as Analytical Biochemistry, The FASEB Journal and International Journal of Molecular Sciences.
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.