Lin Wan
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- RNA Interference and Gene Delivery 8
- Glycosylation and Glycoproteins Research 3
- Immunology 13
- Toxin Mechanisms and Immunotoxins 5
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
- Co-authors
- Xiaofeng Lu (25 shared papers)Hao Yang (20 shared papers)Jingqiu Cheng (14 shared papers)Huawei Cai (10 shared papers)Shengfu Li (11 shared papers)Qing Fan (7 shared papers)Dianlong Jia (8 shared papers)Youping Li (8 shared papers)
- Journals
- Applied Microbiology and Biotechnology (6 papers)Protein Expression and Purification (3 papers)BioMed Research International (2 papers)PLoS ONE (2 papers)Journal of Controlled Release (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lin Wan
38 papers receiving 841 citations
Peers
Comparison fields: 5 of 91
- Microbiology 125
- Radiology, Nuclear Medicine and Imaging 154
- Genetics 69
- Immunology 136
- Molecular Biology 441
Countries citing papers authored by Lin Wan
This map shows the geographic impact of Lin Wan'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 Lin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Wan more than expected).
Fields of papers citing papers by Lin Wan
This network shows the impact of papers produced by Lin Wan. 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 Lin Wan. The network helps show where Lin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Wan, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 102 | |
| 2 | 2016 | 74 | |
| 3 | 2003 | 70 | |
| 4 | 2010 | 63 | |
| 5 | 2004 | 45 | |
| 6 | 2017 | 40 | |
| 7 | 2013 | 39 | |
| 8 | 2005 | 33 | |
| 9 | 2018 | 32 | |
| 10 | 2006 | 27 | |
| 11 | 2008 | 26 | |
| 12 | 2018 | 24 | |
| 13 | 2019 | 20 | |
| 14 | 2016 | 20 | |
| 15 | 2013 | 19 | |
| 16 | 2021 | 18 | |
| 17 | 2016 | 17 | |
| 18 | 2012 | 16 | |
| 19 | 2008 | 16 | |
| 20 | 2006 | 15 |
About Lin Wan
Lin Wan is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Biomaterials and Microbiology, having authored 38 papers that have together received 851 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), RNA Interference and Gene Delivery (8 papers), Toxin Mechanisms and Immunotoxins (5 papers), Antimicrobial Peptides and Activities (5 papers), T-cell and B-cell Immunology (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Microbiology (125 citations), Radiology, Nuclear Medicine and Imaging (154 citations), Genetics (69 citations), Immunology (136 citations) and Molecular Biology (441 citations). Lin Wan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaofeng Lu, Hao Yang, Jingqiu Cheng, Huawei Cai, Shengfu Li, Qing Fan, Dianlong Jia, Youping Li, Ze Tao and Jianping Ye. Their work appears in journals such as Applied Microbiology and Biotechnology, Protein Expression and Purification, BioMed Research International, PLoS ONE and Journal of Controlled Release.
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.