Katherine McMahan

9.1k total citations · 2 hit papers
16 papers, 646 citations indexed

About

Katherine McMahan is a scholar working on Infectious Diseases, Molecular Biology and Health. According to data from OpenAlex, Katherine McMahan has authored 16 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Health. Recurrent topics in Katherine McMahan's work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (7 papers) and Vaccine Coverage and Hesitancy (3 papers). Katherine McMahan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (7 papers) and Vaccine Coverage and Hesitancy (3 papers). Katherine McMahan collaborates with scholars based in United States, Netherlands and Germany. Katherine McMahan's co-authors include Dan H. Barouch, Catherine Jacob-Dolan, Jingyou Yu, Ai‐ris Y. Collier, Jinyan Liu, Abishek Chandrashekar, Daniel Sellers, Michelle A. Lifton, Cindy Wu and Julia Barrett and has published in prestigious journals such as Nature, Science and JAMA.

In The Last Decade

Katherine McMahan

14 papers receiving 636 citations

Hit Papers

Vaccines elicit highly conserved cellular immunity to SAR... 2022 2026 2023 2024 2022 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine McMahan United States 11 502 160 128 112 67 16 646
Abishek Chandrashekar United States 8 365 0.7× 138 0.9× 77 0.6× 100 0.9× 39 0.6× 14 454
Pinkus Tober‐Lau Germany 11 429 0.9× 72 0.5× 158 1.2× 63 0.6× 56 0.8× 27 581
Gira Patel United States 11 286 0.6× 118 0.7× 208 1.6× 128 1.1× 37 0.6× 23 645
For Yue Tso United States 14 245 0.5× 78 0.5× 75 0.6× 84 0.8× 25 0.4× 27 492
Kathleen M. Wragg Australia 10 338 0.7× 238 1.5× 112 0.9× 18 0.2× 73 1.1× 24 542
Angelique Hœlzemer Germany 6 620 1.2× 144 0.9× 151 1.2× 14 0.1× 53 0.8× 7 734
Ria Lassaunière Denmark 12 265 0.5× 80 0.5× 58 0.5× 42 0.4× 15 0.2× 33 442
Catherine Jacob-Dolan United States 10 434 0.9× 116 0.7× 121 0.9× 13 0.1× 50 0.7× 16 532
Mona Sadat Larijani Iran 11 225 0.4× 38 0.2× 77 0.6× 30 0.3× 42 0.6× 43 321
Annemarie Laumaea Canada 10 245 0.5× 100 0.6× 39 0.3× 50 0.4× 33 0.5× 19 431

Countries citing papers authored by Katherine McMahan

Since Specialization
Citations

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

Fields of papers citing papers by Katherine McMahan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine McMahan. 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 Katherine McMahan. The network helps show where Katherine McMahan may publish in the future.

Co-authorship network of co-authors of Katherine McMahan

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

All Works

16 of 16 papers shown
1.
Lasrado, Ninaad, Annika Rössler, I. McConnell, et al.. (2025). Immunogenicity of JN.1 and KP.2 COVID-19 mRNA vaccines against emerging SARS-CoV-2 variants. Vaccine. 69. 127997–127997.
2.
Aïd, Malika, Katherine McMahan, Michael L. Doyle, et al.. (2025). Long COVID involves activation of proinflammatory and immune exhaustion pathways. Nature Immunology. 27(1). 61–71.
3.
Collier, Ai‐ris Y., Katherine McMahan, Catherine Jacob-Dolan, et al.. (2024). Decline of Mpox Antibody Responses After Modified Vaccinia Ankara–Bavarian Nordic Vaccination. JAMA. 332(19). 1669–1669. 12 indexed citations
4.
Lasrado, Ninaad, Marjorie Rowe, Katherine McMahan, et al.. (2024). SARS-CoV-2 XBB.1.5 mRNA booster vaccination elicits limited mucosal immunity. Science Translational Medicine. 16(770). eadp8920–eadp8920. 16 indexed citations
5.
Collier, Ai‐ris Y., Catherine Brown, Katherine McMahan, et al.. (2022). Characterization of immune responses in fully vaccinated individuals after breakthrough infection with the SARS-CoV-2 delta variant. Science Translational Medicine. 14(641). eabn6150–eabn6150. 43 indexed citations
6.
Cooper, Amanda, Abishek Chandrashekar, Krishnendu Chakraborty, et al.. (2022). A genetically engineered, stem-cell-derived cellular vaccine. Cell Reports Medicine. 3(12). 100843–100843. 1 indexed citations
7.
Mahrokhian, Shant H., Lisa H. Tostanoski, Catherine Jacob-Dolan, et al.. (2022). Durability and expansion of neutralizing antibody breadth following Ad26.COV2.S vaccination of mice. npj Vaccines. 7(1). 23–23. 6 indexed citations
8.
McMahan, Katherine, Victoria Giffin, Lisa H. Tostanoski, et al.. (2022). Reduced pathogenicity of the SARS-CoV-2 omicron variant in hamsters. Med. 3(4). 262–268.e4. 119 indexed citations breakdown →
9.
Liu, Jinyan, Abishek Chandrashekar, Daniel Sellers, et al.. (2022). Vaccines elicit highly conserved cellular immunity to SARS-CoV-2 Omicron. Nature. 603(7901). 493–496. 270 indexed citations breakdown →
10.
Nkolola, Joseph P., Jingyou Yu, Huahua Wan, et al.. (2022). A bivalent SARS-CoV-2 monoclonal antibody combination does not affect the immunogenicity of a vector-based COVID-19 vaccine in macaques. Science Translational Medicine. 14(665). eabo6160–eabo6160. 4 indexed citations
11.
Jacob-Dolan, Catherine, Jared Feldman, Katherine McMahan, et al.. (2021). Coronavirus-Specific Antibody Cross Reactivity in Rhesus Macaques following SARS-CoV-2 Vaccination and Infection. Journal of Virology. 95(11). 12 indexed citations
12.
Vidal, Samuel J., Ai‐ris Y. Collier, Jingyou Yu, et al.. (2021). Correlates of Neutralization against SARS-CoV-2 Variants of Concern by Early Pandemic Sera. Journal of Virology. 95(14). e0040421–e0040421. 24 indexed citations
13.
Tostanoski, Lisa H., Lisa E. Gralinski, David R. Martinez, et al.. (2021). Protective Efficacy of Rhesus Adenovirus COVID-19 Vaccines against Mouse-Adapted SARS-CoV-2. Journal of Virology. 95(23). e0097421–e0097421. 13 indexed citations
14.
Abbink, Peter, Noe B. Mercado, Joseph P. Nkolola, et al.. (2019). Lack of therapeutic efficacy of an antibody to α 4 β 7 in SIVmac251-infected rhesus macaques. Science. 365(6457). 1029–1033. 18 indexed citations
15.
Jülg, Boris, Po-Ting Liu, Kshitij Wagh, et al.. (2017). Protection against a mixed SHIV challenge by a broadly neutralizing antibody cocktail. Science Translational Medicine. 9(408). 96 indexed citations
16.
Denton, Kyle, Alexis Carlson, Thomas Carroll, et al.. (2013). Identification of a possible respiratory arsenate reductase in Denitrovibrio acetiphilus, a member of the phylum Deferribacteres. Archives of Microbiology. 195(9). 661–670. 12 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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