Jonathan E. Schulz

5.6k total citations
36 papers, 1.1k citations indexed

About

Jonathan E. Schulz is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Jonathan E. Schulz has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Infectious Diseases, 12 papers in Epidemiology and 8 papers in Modeling and Simulation. Recurrent topics in Jonathan E. Schulz's work include SARS-CoV-2 and COVID-19 Research (17 papers), SARS-CoV-2 detection and testing (10 papers) and COVID-19 epidemiological studies (8 papers). Jonathan E. Schulz is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (17 papers), SARS-CoV-2 detection and testing (10 papers) and COVID-19 epidemiological studies (8 papers). Jonathan E. Schulz collaborates with scholars based in United States, United Kingdom and Netherlands. Jonathan E. Schulz's co-authors include Vincent J. Munster, Neeltje van Doremalen, Victoria A. Avanzato, Emmie de Wit, Rebecca Rosenke, Claude Kwe Yinda, Julia R. Port, Greg Saturday, Robert J. Fischer and Myndi G. Holbrook and has published in prestigious journals such as Nature, Nature Communications and Scientific Reports.

In The Last Decade

Jonathan E. Schulz

34 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan E. Schulz United States 16 805 177 136 130 122 36 1.1k
Victoria A. Avanzato United States 12 1.1k 1.4× 229 1.3× 209 1.5× 156 1.2× 119 1.0× 20 1.3k
Caitlin E. Edwards United States 11 859 1.1× 226 1.3× 162 1.2× 226 1.7× 215 1.8× 17 1.3k
Xiaowang Qu China 15 660 0.8× 142 0.8× 309 2.3× 154 1.2× 62 0.5× 35 1.0k
Julia R. Port United States 16 451 0.6× 81 0.5× 115 0.8× 88 0.7× 108 0.9× 32 629
Lizzette Pérez-Pérez United States 5 529 0.7× 120 0.7× 56 0.4× 71 0.5× 37 0.3× 8 615
Laury Baillon United Kingdom 11 779 1.0× 211 1.2× 136 1.0× 182 1.4× 41 0.3× 16 1.1k
Kristina Dietert Germany 17 373 0.5× 81 0.5× 105 0.8× 163 1.3× 107 0.9× 34 778
Katharina S. Schmitz Netherlands 8 714 0.9× 206 1.2× 201 1.5× 272 2.1× 34 0.3× 21 1.0k
W. Widagdo Netherlands 11 635 0.8× 49 0.3× 153 1.1× 147 1.1× 30 0.2× 17 849
Ren-Di Jiang China 12 589 0.7× 135 0.8× 85 0.6× 75 0.6× 26 0.2× 23 713

Countries citing papers authored by Jonathan E. Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan E. Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan E. Schulz

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

All Works

20 of 20 papers shown
1.
Takemoto, Satoru, Víctor Alfonso Jiménez Díaz, Michael R. Dufault, et al.. (2025). Lung Xenotransplantation Outcomes Using Multi-Gene Edited Pigs: In Vivo Transplant and Ex Vivo Human Xenoperfusion. American Journal of Transplantation. 25(8). S63–S64.
2.
Port, Julia R., Dylan H. Morris, Claude Kwe Yinda, et al.. (2024). Host and viral determinants of airborne transmission of SARS-CoV-2 in the Syrian hamster. eLife. 12. 1 indexed citations
3.
Port, Julia R., Claude Kwe Yinda, Jonathan E. Schulz, et al.. (2024). Augmentation of Omicron BA.1 pathogenicity in hamsters using intratracheal inoculation. PubMed. 2(1). 3–3. 3 indexed citations
4.
Yinda, Claude Kwe, Julia R. Port, Trenton Bushmaker, et al.. (2024). Airborne transmission efficiency of SARS-CoV-2 in Syrian hamsters is not influenced by environmental conditions. PubMed. 2(1). 2–2.
5.
Port, Julia R., Dylan H. Morris, Claude Kwe Yinda, et al.. (2023). Host and viral determinants of airborne transmission of SARS-CoV-2 in the Syrian hamster. eLife. 12. 11 indexed citations
6.
Port, Julia R., Claude Kwe Yinda, Victoria A. Avanzato, et al.. (2023). Infection- or AZD1222 vaccine-mediated immunity reduces SARS-CoV-2 transmission but increases Omicron competitiveness in hamsters. Nature Communications. 14(1). 6592–6592. 7 indexed citations
7.
Yinda, Claude Kwe, Dylan H. Morris, Robert J. Fischer, et al.. (2023). Stability of Monkeypox Virus in Body Fluids and Wastewater. Emerging infectious diseases. 29(10). 2065–2072. 16 indexed citations
8.
Cuanalo-Contreras, Karina, Jonathan E. Schulz, Abhisek Mukherjee, et al.. (2023). Extensive accumulation of misfolded protein aggregates during natural aging and senescence. Frontiers in Aging Neuroscience. 14. 1090109–1090109. 48 indexed citations
9.
10.
Fischer, Robert J., Irene Owusu Donkor, Jonathan E. Schulz, et al.. (2022). OraSure InteliSwab™ Rapid Antigen Test Performance with the SARS-CoV-2 Variants of Concern—Alpha, Beta, Gamma, Delta, and Omicron. Viruses. 14(3). 543–543. 18 indexed citations
11.
Carroll, Timothy D., Douglas Fox, Neeltje van Doremalen, et al.. (2022). The B.1.427/1.429 (epsilon) SARS-CoV-2 variants are more virulent than ancestral B.1 (614G) in Syrian hamsters. PLoS Pathogens. 18(2). e1009914–e1009914. 19 indexed citations
12.
Doremalen, Neeltje van, Jonathan E. Schulz, Danielle R. Adney, et al.. (2022). ChAdOx1 nCoV-19 (AZD1222) or nCoV-19-Beta (AZD2816) protect Syrian hamsters against Beta Delta and Omicron variants. Nature Communications. 13(1). 4610–4610. 17 indexed citations
13.
Doremalen, Neeltje van, Victoria A. Avanzato, Friederike Feldmann, et al.. (2022). ChAdOx1 NiV vaccination protects against lethal Nipah Bangladesh virus infection in African green monkeys. npj Vaccines. 7(1). 171–171. 16 indexed citations
14.
Port, Julia R., Claude Kwe Yinda, Victoria A. Avanzato, et al.. (2022). Increased small particle aerosol transmission of B.1.1.7 compared with SARS-CoV-2 lineage A in vivo. Nature Microbiology. 7(2). 213–223. 40 indexed citations
15.
Doremalen, Neeltje van, Robert J. Fischer, Jonathan E. Schulz, et al.. (2021). Immunogenicity of Low-Dose Prime-Boost Vaccination of mRNA Vaccine CV07050101 in Non-Human Primates. Viruses. 13(8). 1645–1645. 8 indexed citations
16.
Fischer, Robert J., Neeltje van Doremalen, Danielle R. Adney, et al.. (2021). ChAdOx1 nCoV-19 (AZD1222) protects Syrian hamsters against SARS-CoV-2 B.1.351 and B.1.1.7. Nature Communications. 12(1). 5868–5868. 29 indexed citations
17.
Munster, Vincent J., Meaghan Flagg, Manmeet Singh, et al.. (2021). Subtle differences in the pathogenicity of SARS-CoV-2 variants of concern B.1.1.7 and B.1.351 in rhesus macaques. Science Advances. 7(43). eabj3627–eabj3627. 18 indexed citations
18.
Port, Julia R., Danielle R. Adney, Benjamin Schwarz, et al.. (2021). High-Fat High-Sugar Diet-Induced Changes in the Lipid Metabolism Are Associated with Mildly Increased COVID-19 Severity and Delayed Recovery in the Syrian Hamster. Viruses. 13(12). 2506–2506. 21 indexed citations
19.
Yinda, Claude Kwe, Julia R. Port, Trenton Bushmaker, et al.. (2021). K18-hACE2 mice develop respiratory disease resembling severe COVID-19. PLoS Pathogens. 17(1). e1009195–e1009195. 165 indexed citations
20.
Arslan, Emre, Jonathan E. Schulz, & Kunal Rai. (2021). Machine Learning in Epigenomics: Insights into Cancer Biology and Medicine. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1876(2). 188588–188588. 26 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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