Lanlan Bai
Impact in
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
- Immunology top 10%
- T-cell and Retrovirus Studies
Papers in
- Immunology 21
- T-cell and Retrovirus Studies 18
- Immune Response and Inflammation 3
-
- Vector-Borne Animal Diseases 14
- Co-authors
- Yoko Aida (18 shared papers)Emiko Isogai (10 shared papers)Hirotaka Sato (9 shared papers)Shin‐nosuke Takeshima (13 shared papers)Hiroshi Yoneyama (6 shared papers)Liushiqi Borjigin (8 shared papers)Satoshi Wada (5 shared papers)Junko Kohara (6 shared papers)
- Journals
- Pathogens (5 papers)Retrovirology (3 papers)Animal Science Journal (3 papers)Virology Journal (3 papers)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Lanlan Bai
28 papers receiving 350 citations
Peers
Comparison fields: 5 of 59
- Agronomy and Crop Science 167
- Immunology 219
- Ecology, Evolution, Behavior and Systematics 149
- Periodontics 28
- Microbiology 35
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-authors
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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 44 | |
| 2 | 2019 | 38 | |
| 3 | 2019 | 34 | |
| 4 | 2015 | 25 | |
| 5 | 2012 | 24 | |
| 6 | 2022 | 20 | |
| 7 | 2015 | 20 | |
| 8 | 2011 | 19 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 17 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2014 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2013 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2023 | 4 |
About Lanlan Bai
Lanlan Bai is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Molecular Biology and Genetics, having authored 33 papers that have together received 361 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (18 papers), Animal Disease Management and Epidemiology (15 papers), Vector-Borne Animal Diseases (14 papers), Antimicrobial Peptides and Activities (3 papers), Biochemical and Structural Characterization (3 papers), Immune Response and Inflammation (3 papers), Animal Genetics and Reproduction (2 papers) and Oral microbiology and periodontitis research (2 papers). The work is most often cited by research in Agronomy and Crop Science (167 citations), Immunology (219 citations), Ecology, Evolution, Behavior and Systematics (149 citations), Periodontics (28 citations) and Microbiology (35 citations). Lanlan Bai has collaborated with scholars based in Japan, United States and Egypt. 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 Pathogens, Retrovirology, Animal Science Journal, Virology Journal and Scientific Reports.
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.