John E. Warner

804 total citations
9 papers, 311 citations indexed

About

John E. Warner is a scholar working on Infectious Diseases, Molecular Biology and Oncology. According to data from OpenAlex, John E. Warner has authored 9 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in John E. Warner's work include Antimicrobial Resistance in Staphylococcus (3 papers), Bacterial Identification and Susceptibility Testing (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). John E. Warner is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (3 papers), Bacterial Identification and Susceptibility Testing (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). John E. Warner collaborates with scholars based in United States, Canada and Singapore. John E. Warner's co-authors include Keith R. Solomon, Stephen B. Calderwood, Eleftherios Mylonakis, Beth Burgwyn Fuchs, George Aperis, Christine A. Anderson, Andrew B. Onderdonk, Sarah Cole, Alexander J. McAdam and Kathrin H. Kirsch and has published in prestigious journals such as Science, The Journal of Experimental Medicine and The EMBO Journal.

In The Last Decade

John E. Warner

8 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John E. Warner United States 8 80 75 57 49 47 9 311
H.W. Rossmoore United States 11 86 1.1× 101 1.3× 33 0.6× 100 2.0× 101 2.1× 28 507
Jorge Frías Spain 12 35 0.4× 237 3.2× 86 1.5× 70 1.4× 158 3.4× 23 632
Mian Adnan Kakakhel China 14 64 0.8× 70 0.9× 102 1.8× 23 0.5× 54 1.1× 37 617
Tristano Bacchetti De Gregoris United Kingdom 5 49 0.6× 209 2.8× 36 0.6× 18 0.4× 18 0.4× 7 457
Sheila Van Cuyk United States 9 21 0.3× 113 1.5× 55 1.0× 9 0.2× 37 0.8× 17 438
Elizabeth Ernestina Godoy-Lozano Mexico 12 42 0.5× 170 2.3× 92 1.6× 23 0.5× 19 0.4× 23 417
Tania Falcioni Italy 10 13 0.2× 81 1.1× 67 1.2× 10 0.2× 50 1.1× 13 433
Barbara Bonato Italy 7 86 1.1× 208 2.8× 62 1.1× 17 0.3× 94 2.0× 7 633
Michael Taylor Australia 12 37 0.5× 214 2.9× 50 0.9× 12 0.2× 192 4.1× 27 666
Roderick A. MacPhee Canada 6 47 0.6× 182 2.4× 28 0.5× 14 0.3× 21 0.4× 7 439

Countries citing papers authored by John E. Warner

Since Specialization
Citations

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

Fields of papers citing papers by John E. Warner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Warner. 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 John E. Warner. The network helps show where John E. Warner may publish in the future.

Co-authorship network of co-authors of John E. Warner

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

All Works

9 of 9 papers shown
1.
Nair, Usha, Ziqi Feng, Charles R. Crain, et al.. (2025). In vivo antibody diversification targeting a conserved coronavirus epitope. The Journal of Experimental Medicine. 222(10).
2.
Huber, Sabrina M., John E. Warner, Stephanie R. Weldon, et al.. (2024). Antibody production relies on the tRNA inosine wobble modification to meet biased codon demand. Science. 383(6679). 205–211. 12 indexed citations
3.
Wang, Xuesong, Rashmi Ray, Sven Kratochvil, et al.. (2020). Multiplexed CRISPR/CAS9‐mediated engineering of pre‐clinical mouse models bearing native human B cell receptors. The EMBO Journal. 40(2). e105926–e105926. 19 indexed citations
4.
Aperis, George, Beth Burgwyn Fuchs, Christine A. Anderson, et al.. (2007). Galleria mellonella as a model host to study infection by the Francisella tularensis live vaccine strain. Microbes and Infection. 9(6). 729–734. 95 indexed citations
5.
Warner, John E., et al.. (2004). Detection of Multiple Macrolide- and Lincosamide-Resistant Strains of Streptococcus pyogenes from Patients in the Boston Area. Journal of Clinical Microbiology. 42(4). 1559–1563. 33 indexed citations
6.
Warner, John E. & Andrew B. Onderdonk. (2004). Diversity of Toxic Shock Syndrome Toxin 1-Positive Staphylococcus aureus Isolates. Applied and Environmental Microbiology. 70(11). 6931–6935. 12 indexed citations
7.
Warner, John E. & Andrew B. Onderdonk. (2003). Method for Optimizing Pulsed-Field Gel Electrophoresis Banding Pattern Data. Journal of Molecular Diagnostics. 5(1). 21–27. 7 indexed citations
8.
Warner, John E. & Keith R. Solomon. (1990). Acidity as a factor in leaching of copper, chromium and arsenic from CCA-treated dimension lumber. Environmental Toxicology and Chemistry. 9(11). 1331–1337. 74 indexed citations
9.
Warner, John E. & Keith R. Solomon. (1990). ACIDITY AS A FACTOR IN LEACHING OF COPPER, CHROMIUM AND ARSENIC FROM CCA-TREATED DIMENSION LUMBER. Environmental Toxicology and Chemistry. 9(11). 1331–1331. 59 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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