Long-Feng Lu
Impact in
- Immunology top 2%
- interferon and immune responses
- Aquaculture disease management and microbiota
- Immune Response and Inflammation
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Immunology 54
- interferon and immune responses 45
- Aquaculture disease management and microbiota 18
-
- Antimicrobial Peptides and Activities 1
- Co-authors
- Shun Li (48 shared papers)Yong‐An Zhang (31 shared papers)Dandan Chen (17 shared papers)Pin Nie (7 shared papers)Zhuo-Cong Li (28 shared papers)Can Zhang (22 shared papers)Xiao-Yu Zhou (16 shared papers)Xu‐Jie Zhang (3 shared papers)
In The Last Decade
Long-Feng Lu
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 50
- Immunology 886
- Cancer Research 77
- Microbiology 31
- Hepatology 20
- Physiology 9
Countries citing papers authored by Long-Feng Lu
This map shows the geographic impact of Long-Feng Lu'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 Long-Feng Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long-Feng Lu more than expected).
Fields of papers citing papers by Long-Feng Lu
This network shows the impact of papers produced by Long-Feng Lu. 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 Long-Feng Lu. The network helps show where Long-Feng Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Long-Feng Lu, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 100 | |
| 2 | 2014 | 88 | |
| 3 | 2013 | 85 | |
| 4 | 2016 | 82 | |
| 5 | 2015 | 60 | |
| 6 | 2014 | 48 | |
| 7 | 2019 | 38 | |
| 8 | 2017 | 36 | |
| 9 | 2015 | 32 | |
| 10 | 2016 | 32 | |
| 11 | 2016 | 25 | |
| 12 | 2020 | 25 | |
| 13 | 2018 | 24 | |
| 14 | 2021 | 24 | |
| 15 | 2021 | 23 | |
| 16 | 2018 | 22 | |
| 17 | 2015 | 21 | |
| 18 | 2020 | 21 | |
| 19 | 2020 | 21 | |
| 20 | 2022 | 19 |
About Long-Feng Lu
Long-Feng Lu is a scholar working on Immunology, Microbiology, Hepatology, Cancer Research and Cell Biology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include interferon and immune responses (45 papers), Aquaculture disease management and microbiota (18 papers), Antimicrobial Peptides and Activities (1 paper), Microtubule and mitosis dynamics (1 paper), Cancer-related Molecular Pathways (1 paper), MicroRNA in disease regulation (1 paper), Virology and Viral Diseases (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Immunology (886 citations), Cancer Research (77 citations), Microbiology (31 citations), Hepatology (20 citations) and Physiology (9 citations). Long-Feng Lu has collaborated with scholars based in China and Ukraine. Frequent co-authors include Shun Li, Yong‐An Zhang, Dandan Chen, Pin Nie, Zhuo-Cong Li, Can Zhang, Xiao-Yu Zhou, Xu‐Jie Zhang, Scott E. LaPatra and Nu Zhang. Their work appears in journals such as Fish & Shellfish Immunology, The Journal of Immunology, Journal of Virology, Frontiers in Immunology and PLoS Pathogens.
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.