Junlin Wu
Impact in
- Immunology top 10%
- Invertebrate Immune Response Mechanisms
- Aquaculture disease management and microbiota
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
Papers in
-
- Gut microbiota and health 3
- Advanced biosensing and bioanalysis techniques 3
- RNA Interference and Gene Delivery 2
-
- Invertebrate Immune Response Mechanisms 3
- Co-authors
- Louisa P. Wu (3 shared papers)Lindsey S. Garver (1 shared paper)Xiong Fu (2 shared papers)Xiaoxia Chen (1 shared paper)Pingping Wang (1 shared paper)Chun Chen (1 shared paper)Zhen‐Yu Du (2 shared papers)Mei‐Ling Zhang (2 shared papers)
- Journals
- Molecules (2 papers)Journal of Materials Chemistry B (2 papers)Food Science and Human Wellness (1 paper)Stem Cell Research & Therapy (1 paper)Brain Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junlin Wu
25 papers receiving 590 citations
Peers
Comparison fields: 5 of 94
- Immunology 202
- Aquatic Science 63
- Insect Science 100
- Physiology 30
- Microbiology 30
Countries citing papers authored by Junlin Wu
This map shows the geographic impact of Junlin Wu'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 Junlin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlin Wu more than expected).
Fields of papers citing papers by Junlin Wu
This network shows the impact of papers produced by Junlin Wu. 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 Junlin Wu. The network helps show where Junlin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junlin Wu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 121 | |
| 2 | 2023 | 68 | |
| 3 | 2020 | 64 | |
| 4 | 2015 | 46 | |
| 5 | 2024 | 43 | |
| 6 | 2006 | 37 | |
| 7 | 2007 | 32 | |
| 8 | 2019 | 30 | |
| 9 | 2017 | 28 | |
| 10 | 2014 | 18 | |
| 11 | 2023 | 15 | |
| 12 | 2021 | 15 | |
| 13 | 2011 | 14 | |
| 14 | 2019 | 13 | |
| 15 | 2025 | 12 | |
| 16 | 2014 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2025 | 5 |
About Junlin Wu
Junlin Wu is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Public Health, Environmental and Occupational Health and Insect Science, having authored 27 papers that have together received 601 indexed citations. Recurring topics across this work include Gut microbiota and health (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Mosquito-borne diseases and control (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers), RNA Interference and Gene Delivery (2 papers), Malaria Research and Control (2 papers) and Aquaculture Nutrition and Growth (2 papers). The work is most often cited by research in Immunology (202 citations), Aquatic Science (63 citations), Insect Science (100 citations), Physiology (30 citations) and Microbiology (30 citations). Junlin Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Louisa P. Wu, Lindsey S. Garver, Xiong Fu, Xiaoxia Chen, Pingping Wang, Chun Chen, Zhen‐Yu Du, Mei‐Ling Zhang, Liqiao Chen and Subhamoy Pal. Their work appears in journals such as Molecules, Journal of Materials Chemistry B, Food Science and Human Wellness, Stem Cell Research & Therapy 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.