Stephen G. McCarthy

686 total citations
8 papers, 548 citations indexed

About

Stephen G. McCarthy is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, Stephen G. McCarthy has authored 8 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Stephen G. McCarthy's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and T-cell and B-cell Immunology (2 papers). Stephen G. McCarthy is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and T-cell and B-cell Immunology (2 papers). Stephen G. McCarthy collaborates with scholars based in United States and Belgium. Stephen G. McCarthy's co-authors include Susan H. Tam, Bernard J. Scallon, T. Shantha Raju, Lani R. San Mateo, Michael Harris, Linda A. Snyder, Deborah J. Marshall, Jinquan Luo, Gary L. Gilliland and Mark L. Chiu and has published in prestigious journals such as Journal of Biological Chemistry, Vaccine and Molecular Immunology.

In The Last Decade

Stephen G. McCarthy

8 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen G. McCarthy United States	8	401	391	265	54	43	8	548
Jeff Lutman United States	8	373 0.9×	362 0.9×	213 0.8×	50 0.9×	44 1.0×	10	552
J. M. Woof United Kingdom	5	417 1.0×	346 0.9×	252 1.0×	40 0.7×	34 0.8×	7	551
Esther M. Yoo United States	10	224 0.6×	197 0.5×	158 0.6×	43 0.8×	32 0.7×	11	383
Wissam Charab United States	6	285 0.7×	237 0.6×	337 1.3×	98 1.8×	16 0.4×	6	534
Elin Lunde Norway	10	199 0.5×	172 0.4×	220 0.8×	61 1.1×	44 1.0×	19	381
Li Mei United States	4	280 0.7×	262 0.7×	195 0.7×	34 0.6×	16 0.4×	7	422
Rahel Frick United States	11	261 0.7×	251 0.6×	144 0.5×	48 0.9×	19 0.4×	16	462
Benedikte Serruys Belgium	7	207 0.5×	188 0.5×	120 0.5×	76 1.4×	18 0.4×	10	367
K. Ryan Trinh United States	11	164 0.4×	173 0.4×	156 0.6×	49 0.9×	16 0.4×	13	360
Peter S. Andersen Denmark	9	246 0.6×	224 0.6×	170 0.6×	38 0.7×	16 0.4×	9	392

Countries citing papers authored by Stephen G. McCarthy

Since Specialization

Citations

This map shows the geographic impact of Stephen G. McCarthy'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 Stephen G. McCarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen G. McCarthy more than expected).

Fields of papers citing papers by Stephen G. McCarthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen G. McCarthy. 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 Stephen G. McCarthy. The network helps show where Stephen G. McCarthy may publish in the future.

Co-authorship network of co-authors of Stephen G. McCarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen G. McCarthy. A scholar is included among the top collaborators of Stephen G. McCarthy 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 Stephen G. McCarthy. Stephen G. McCarthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Zhang, Di, Anthony A. Armstrong, Susan H. Tam, et al.. (2017). Functional optimization of agonistic antibodies to OX40 receptor with novel Fc mutations to promote antibody multimerization. mAbs. 9(7). 1129–1142. 26 indexed citations

Tam, Susan H., Stephen G. McCarthy, Sandeep Somani, et al.. (2017). Functional, Biophysical, and Structural Characterization of Human IgG1 and IgG4 Fc Variants with Ablated Immune Functionality. Antibodies. 6(3). 12–12. 29 indexed citations

Tam, Susan H., et al.. (2013). Correlations between pharmacokinetics of IgG antibodies in primates vs. FcRn-transgenic mice reveal a rodent model with predictive capabilities. mAbs. 5(3). 397–405. 56 indexed citations

Kinder, Michelle, Allison R. Greenplate, Katharine D. Grugan, et al.. (2013). Engineered Protease-resistant Antibodies with Selectable Cell-killing Functions. Journal of Biological Chemistry. 288(43). 30843–30854. 31 indexed citations

Scallon, Bernard J., et al.. (2007). Quantitative in vivo comparisons of the Fcγ receptor-dependent agonist activities of different fucosylation variants of an immunoglobulin G antibody. International Immunopharmacology. 7(6). 761–772. 22 indexed citations

Scallon, Bernard J., et al.. (2006). Higher levels of sialylated Fc glycans in immunoglobulin G molecules can adversely impact functionality. Molecular Immunology. 44(7). 1524–1534. 305 indexed citations

Marshall, Deborah J., Lani R. San Mateo, Stephen G. McCarthy, et al.. (2005). Induction of Th1-type immunity and tumor protection with a prostate-specific antigen DNA vaccine. Cancer Immunology Immunotherapy. 54(11). 1082–1094. 21 indexed citations

Marshall, Deborah J., et al.. (2005). Interleukin-18 enhances Th1 immunity and tumor protection of a DNA vaccine. Vaccine. 24(3). 244–253. 58 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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