Timothy M. Caradonna

8.8k citations
18 papers · 1.2k indexed · h-index 12
Topics
SARS-CoV-2 and COVID-19 Research (9 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)vaccines and immunoinformatics approaches (3 papers)

In The Last Decade

Timothy M. Caradonna

18 papers receiving 1.2k citations

Peers

Timothy M. Caradonna
Comparison fields: 5 of 80
  • Infectious Diseases 800
  • Molecular Biology 320
  • Immunology 233
  • Epidemiology 175
  • Radiology, Nuclear Medicine and Imaging 173
Replace Wen Shi Lee with:
Wen Shi Lee Australia
Henning Gruell Germany
Hyon‐Xhi Tan Australia
John M. Errico United States
Eugenia Z. Ong Singapore
Alison Tarke United States
Ericka Kirkpatrick United States
Robyn Esterbauer Australia
Brian D. Quinlan United States
Veronika Chromikova United States
Timothy M. Caradonna relative to Wen Shi Lee Australia Wen Shi Lee's profile →
Citations per field
00.5×1.6×
Wen Shi Lee · 1×
Citations per year

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
#WorkIndexed citations
1 4
2 2
3 5
4 15
5 6
6 77
7 30
8 1
9 2
10 174
11 94
12 153
13 407
14 15
15 12
16 123
17 19
18 20

About Timothy M. Caradonna

Timothy M. Caradonna is a scholar working on Structural Biology, Infectious Diseases and Immunology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this 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). The work is most often cited by research in Infectious Diseases (800 citations), Immunology (233 citations) and Neurology (153 citations). Timothy M. Caradonna has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Aaron G. Schmidt, Blake M. Hauser, Jared Feldman, Galit Alter, Richelle C. Charles, Daniel Lingwood, Alejandro B. Balazs, Evan C. Lam, Anand S. Dighe and A. John Iafrate. Their work appears in journals such as Cell, Nature Communications and Journal of Molecular Biology.

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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