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
- vaccines and immunoinformatics approaches 1
- Protein purification and stability 1
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Xiaojie Yu (3 shared papers)Falk Nimmerjahn (1 shared paper)Anja Lux (1 shared paper)Hendrik Streeck (2 shared papers)Max Crispin (4 shared papers)Chris Bailey‐Kellogg (2 shared papers)Galit Alter (2 shared papers)Margaret E. Ackerman (2 shared papers)
- Journals
- Advances in experimental medicine and biology (1 paper)The Journal of Immunology (1 paper)AIDS (1 paper)Rapid Communications in Mass Spectrometry (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Chris Scanlan
8 papers receiving 962 citations
Peers
Comparison fields: 5 of 59
- Virology 350
- Immunology 485
- Radiology, Nuclear Medicine and Imaging 487
- Molecular Biology 468
- Infectious Diseases 93
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 | 293 | |
| 2 | 2013 | 286 | |
| 3 | 2013 | 217 | |
| 4 | 2014 | 100 | |
| 5 | 2008 | 44 | |
| 6 | 2008 | 30 | |
| 7 | 2005 | 4 | |
| 8 | 2013 | 1 |
About Chris Scanlan
Chris Scanlan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Virology, Organic Chemistry and Immunology, having authored 8 papers that have together received 975 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), vaccines and immunoinformatics approaches (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Virology (350 citations), Immunology (485 citations), Radiology, Nuclear Medicine and Imaging (487 citations), Molecular Biology (468 citations) and Infectious Diseases (93 citations). Chris Scanlan has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Xiaojie Yu, Falk Nimmerjahn, Anja Lux, Hendrik Streeck, Max Crispin, Chris Bailey‐Kellogg, Galit Alter, Margaret E. Ackerman, David J. Harvey and Ickwon Choi. Their work appears in journals such as Advances in experimental medicine and biology, The Journal of Immunology, AIDS, Rapid Communications in Mass Spectrometry and Journal of Clinical Investigation.
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.