Chris Scanlan

1.2k total citations
7 papers, 947 citations indexed

About

Chris Scanlan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Virology. According to data from OpenAlex, Chris Scanlan has authored 7 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Virology. Recurrent topics in Chris Scanlan's work include Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and HIV Research and Treatment (3 papers). Chris Scanlan is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and HIV Research and Treatment (3 papers). Chris Scanlan collaborates with scholars based in United Kingdom, United States and Germany. Chris Scanlan's co-authors include Xiaojie Yu, Falk Nimmerjahn, Anja Lux, Hendrik Streeck, Max Crispin, Galit Alter, Margaret E. Ackerman, Chris Bailey‐Kellogg, David J. Harvey and Austin W. Boesch and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and The FASEB Journal.

In The Last Decade

Chris Scanlan

7 papers receiving 934 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chris Scanlan United Kingdom 6 542 508 484 353 105 7 947
Terri Jones United States 7 265 0.5× 555 1.1× 413 0.9× 247 0.7× 85 0.8× 10 788
P Roben United States 8 453 0.8× 543 1.1× 337 0.7× 438 1.2× 73 0.7× 11 920
Bruce K. Brown United States 15 557 1.0× 183 0.4× 309 0.6× 537 1.5× 157 1.5× 21 1.1k
Kavitha Baruah United Kingdom 10 346 0.6× 466 0.9× 563 1.2× 133 0.4× 43 0.4× 11 783
Zelda Euler Netherlands 15 615 1.1× 297 0.6× 298 0.6× 956 2.7× 170 1.6× 23 1.2k
Ariel Halper-Stromberg United States 8 626 1.2× 338 0.7× 249 0.5× 889 2.5× 190 1.8× 8 1.1k
Jovana Golijanin United States 11 667 1.2× 319 0.6× 314 0.6× 767 2.2× 182 1.7× 11 1.3k
Sara C. Koenig United States 7 309 0.6× 405 0.8× 301 0.6× 295 0.8× 121 1.2× 9 764
D. Cameron Dunlop United Kingdom 8 319 0.6× 206 0.4× 296 0.6× 454 1.3× 90 0.9× 8 679
Pia Dosenovic United States 16 698 1.3× 252 0.5× 399 0.8× 680 1.9× 185 1.8× 22 1.2k

Countries citing papers authored by Chris Scanlan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chris Scanlan

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Scanlan. A scholar is included among the top collaborators of Chris Scanlan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Scanlan. Chris Scanlan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Chung, Amy W., Max Crispin, Laura K. Pritchard, et al.. (2014). Identification of antibody glycosylation structures that predict monoclonal antibody Fc-effector function. AIDS. 28(17). 2523–2530. 98 indexed citations
2.
Ackerman, Margaret E., Max Crispin, Xiaojie Yu, et al.. (2013). Natural variation in Fc glycosylation of HIV-specific antibodies impacts antiviral activity. Journal of Clinical Investigation. 123(5). 2183–2192. 279 indexed citations
3.
Lux, Anja, Xiaojie Yu, Chris Scanlan, & Falk Nimmerjahn. (2013). Impact of Immune Complex Size and Glycosylation on IgG Binding to Human FcγRs. The Journal of Immunology. 190(8). 4315–4323. 214 indexed citations
4.
Burton, Dennis R., Rafi Ahmed, Dan H. Barouch, et al.. (2012). A Blueprint for HIV Vaccine Discovery. Cell Host & Microbe. 12(4). 396–407. 281 indexed citations
5.
6.
Menéndez, Alfredo, D.A. Calarese, Robyn L. Stanfield, et al.. (2008). A peptide inhibitor of HIV‐1 neutralizing antibody 2G12 is not a structural mimic of the natural carbohydrate epitope on gp120. The FASEB Journal. 22(5). 1380–1392. 29 indexed citations
7.
Scanlan, Chris, D.A. Calarese, Hing‐Ken Lee, et al.. (2005). Antibody Recognition of a Carbohydrate Epitope: A Template for HIV Vaccine Design. Advances in experimental medicine and biology. 564. 7–8. 4 indexed citations

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.

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