Timothy M. Caradonna

8.8k total citations
18 papers, 1.2k citations indexed

About

Timothy M. Caradonna is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Timothy M. Caradonna has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 9 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Timothy M. Caradonna's work include SARS-CoV-2 and COVID-19 Research (9 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and vaccines and immunoinformatics approaches (3 papers). Timothy M. Caradonna is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and vaccines and immunoinformatics approaches (3 papers). Timothy M. Caradonna collaborates with scholars based in United States, Japan and Germany. Timothy M. Caradonna's co-authors include Aaron G. Schmidt, Blake M. Hauser, Jared Feldman, Galit Alter, Richelle C. Charles, Daniel Lingwood, Evan C. Lam, Alejandro B. Balazs, Mandakolathur R. Murali and Diane Yang and has published in prestigious journals such as Cell, Nature Communications and Journal of Molecular Biology.

In The Last Decade

Timothy M. Caradonna

18 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy M. Caradonna United States 12 800 320 233 175 173 18 1.2k
Henning Gruell Germany 17 782 1.0× 234 0.7× 317 1.4× 175 1.0× 185 1.1× 52 1.2k
Wen Shi Lee Australia 15 807 1.0× 223 0.7× 459 2.0× 120 0.7× 164 0.9× 39 1.2k
John M. Errico United States 11 979 1.2× 288 0.9× 143 0.6× 83 0.5× 131 0.8× 14 1.2k
Brian D. Quinlan United States 12 819 1.0× 430 1.3× 290 1.2× 107 0.6× 97 0.6× 17 1.3k
Yu E. Lee United States 6 1.0k 1.3× 407 1.3× 206 0.9× 86 0.5× 265 1.5× 9 1.2k
Ericka Kirkpatrick United States 13 608 0.8× 287 0.9× 309 1.3× 574 3.3× 112 0.6× 14 1.2k
Hyon‐Xhi Tan Australia 17 611 0.8× 253 0.8× 476 2.0× 303 1.7× 79 0.5× 35 1.1k
Veronika Chromikova United States 12 509 0.6× 169 0.5× 360 1.5× 554 3.2× 213 1.2× 18 1.1k
Camila R. Fontes-Garfias United States 12 921 1.2× 326 1.0× 71 0.3× 126 0.7× 40 0.2× 17 1.2k
Wan Rong Sia Singapore 8 841 1.1× 125 0.4× 263 1.1× 89 0.5× 42 0.2× 13 1.1k

Countries citing papers authored by Timothy M. Caradonna

Since Specialization
Citations

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

Fields of papers citing papers by Timothy M. Caradonna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy M. Caradonna. 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 Timothy M. Caradonna. The network helps show where Timothy M. Caradonna may publish in the future.

Co-authorship network of co-authors of Timothy M. Caradonna

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

All Works

18 of 18 papers shown
1.
Caradonna, Timothy M., et al.. (2023). Mechanisms that promote the evolution of cross-reactive antibodies upon vaccination with designed influenza immunogens. Cell Reports. 42(3). 112160–112160. 4 indexed citations
2.
Ronsard, Larance, Ashraf S. Yousif, Jared Feldman, et al.. (2023). Engaging an HIV vaccine target through the acquisition of low B cell affinity. Nature Communications. 14(1). 5249–5249. 2 indexed citations
3.
Dugan, Amanda, Blake M. Hauser, Jared Feldman, et al.. (2023). Lectin Fingerprinting Distinguishes Antibody Neutralization in SARS-CoV-2. ACS Central Science. 9(5). 947–956. 5 indexed citations
4.
Hauser, Blake M., Maya Sangesland, Kerri St. Denis, et al.. (2022). Rationally designed immunogens enable immune focusing following SARS-CoV-2 spike imprinting. Cell Reports. 38(12). 110561–110561. 15 indexed citations
5.
Caradonna, Timothy M., Larance Ronsard, Ashraf S. Yousif, et al.. (2022). An epitope-enriched immunogen expands responses to a conserved viral site. Cell Reports. 41(6). 111628–111628. 6 indexed citations
6.
Wellner, Alon, Conor McMahon, Morgan S. A. Gilman, et al.. (2021). Rapid generation of potent antibodies by autonomous hypermutation in yeast. Nature Chemical Biology. 17(10). 1057–1064. 77 indexed citations
7.
Caradonna, Timothy M. & Aaron G. Schmidt. (2021). Protein engineering strategies for rational immunogen design. npj Vaccines. 6(1). 154–154. 30 indexed citations
8.
Hauser, Blake M., Maya Sangesland, Kerri St. Denis, et al.. (2021). Rationally Designed Immunogens Enable Immune Focusing Following SARS-CoV-2 Spike Imprinting. SSRN Electronic Journal. 1 indexed citations
9.
Hauser, Blake M., Maya Sangesland, Evan C. Lam, et al.. (2021). Engineered Receptor Binding Domain Immunogens Elicit Pan-Coronavirus Neutralizing Antibodies Outside the Receptor Binding Motif. SSRN Electronic Journal. 2 indexed citations
10.
Yin, Wenqing, Marc A. Napoleon, Ellen L. Suder, et al.. (2021). CD209L/L-SIGN and CD209/DC-SIGN Act as Receptors for SARS-CoV-2. ACS Central Science. 7(7). 1156–1165. 174 indexed citations
11.
García-Beltrán, Wilfredo F., Evan C. Lam, Michael G. Astudillo, et al.. (2020). COVID-19-neutralizing antibodies predict disease severity and survival. Cell. 184(2). 476–488.e11. 407 indexed citations
12.
Zohar, Tomer, Carolin Loos, Stephanie Fischinger, et al.. (2020). Compromised Humoral Functional Evolution Tracks with SARS-CoV-2 Mortality. Cell. 183(6). 1508–1519.e12. 153 indexed citations
13.
Norman, Maia, Tal Gilboa, Alana F. Ogata, et al.. (2020). Ultrasensitive high-resolution profiling of early seroconversion in patients with COVID-19. Nature Biomedical Engineering. 4(12). 1180–1187. 94 indexed citations
14.
García-Beltrán, Wilfredo F., Evan C. Lam, Michael G. Astudillo, et al.. (2020). COVID-19 Neutralizing Antibodies Predict Disease Severity and Survival. SSRN Electronic Journal. 12 indexed citations
15.
Bajic, Goran, Timothy M. Caradonna, Ming Tian, et al.. (2020). Structure-Guided Molecular Grafting of a Complex Broadly Neutralizing Viral Epitope. ACS Infectious Diseases. 6(5). 1182–1191. 15 indexed citations
16.
Watanabe, Akiko, Kevin R. McCarthy, Masayuki Kuraoka, et al.. (2019). Antibodies to a Conserved Influenza Head Interface Epitope Protect by an IgG Subtype-Dependent Mechanism. Cell. 177(5). 1124–1135.e16. 123 indexed citations
17.
18.
Liu, Yuhang, Junhua Pan, Simon Jenni, et al.. (2017). CryoEM Structure of an Influenza Virus Receptor-Binding Site Antibody–Antigen Interface. Journal of Molecular Biology. 429(12). 1829–1839. 20 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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