Chris Scanlan
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Galectins and Cancer Biology
- Immunotherapy and Immune Responses
Papers in ⓘ
-
- Glycosylation and Glycoproteins Research 6
- Protein purification and stability 1
- vaccines and immunoinformatics approaches 1
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Xiaojie Yu (3 shared papers)Anja Lux (1 shared paper)Falk Nimmerjahn (1 shared paper)Hendrik Streeck (2 shared papers)Max Crispin (3 shared papers)Chris Bailey‐Kellogg (2 shared papers)Margaret E. Ackerman (2 shared papers)Galit Alter (2 shared papers)
- Journals
- Journal of Clinical Investigation (1 paper)AIDS (1 paper)Advances in experimental medicine and biology (1 paper)The FASEB Journal (1 paper)Cell Host & Microbe (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Chris Scanlan
7 papers receiving 934 citations
Peers
Comparison fields: 5 of 60
- Virology 353
- Immunology 542
- Radiology, Nuclear Medicine and Imaging 508
- Molecular Biology 484
- Infectious Diseases 101
Countries citing papers authored by Chris Scanlan
This map shows the geographic impact of Chris Scanlan'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 Chris Scanlan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Scanlan more than expected).
Fields of papers citing papers by Chris Scanlan
This network shows the impact of papers produced by Chris Scanlan. 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 Chris Scanlan. The network helps show where Chris Scanlan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Scanlan, 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 | 2012 | 281 | |
| 2 | 2013 | 279 | |
| 3 | 2013 | 214 | |
| 4 | 2014 | 98 | |
| 5 | 2008 | 42 | |
| 6 | 2008 | 29 | |
| 7 | 2005 | 4 |
About Chris Scanlan
Chris Scanlan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Virology, Immunology and Organic Chemistry, having authored 7 papers that have together received 947 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), HIV Research and Treatment (3 papers), Immune Cell Function and Interaction (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Galectins and Cancer Biology (1 paper), Protein purification and stability (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Virology (353 citations), Immunology (542 citations), Radiology, Nuclear Medicine and Imaging (508 citations), Molecular Biology (484 citations) and Infectious Diseases (101 citations). Chris Scanlan has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Xiaojie Yu, Anja Lux, Falk Nimmerjahn, Hendrik Streeck, Max Crispin, Chris Bailey‐Kellogg, Margaret E. Ackerman, Galit Alter, David J. Harvey and Ickwon Choi. Their work appears in journals such as Journal of Clinical Investigation, AIDS, Advances in experimental medicine and biology, The FASEB Journal and Cell Host & Microbe.
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.