Michael Aragones

895 total citations · 1 hit paper
5 papers, 376 citations indexed

About

Michael Aragones is a scholar working on Infectious Diseases, Animal Science and Zoology and Biomedical Engineering. According to data from OpenAlex, Michael Aragones has authored 5 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 2 papers in Animal Science and Zoology and 1 paper in Biomedical Engineering. Recurrent topics in Michael Aragones's work include SARS-CoV-2 and COVID-19 Research (5 papers), SARS-CoV-2 detection and testing (3 papers) and Animal Virus Infections Studies (2 papers). Michael Aragones is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), SARS-CoV-2 detection and testing (3 papers) and Animal Virus Infections Studies (2 papers). Michael Aragones collaborates with scholars based in United States. Michael Aragones's co-authors include Katia Bruxvoort, Julia E. Tubert, Bradley K. Ackerson, Carla Talarico, Ana Florea, Jennifer H Ku, Gina S. Lee, Soon Kyu Choi, Yi Luo and Harpreet S. Takhar and has published in prestigious journals such as Nature Medicine, Nature Communications and MMWR Morbidity and Mortality Weekly Report.

In The Last Decade

Michael Aragones

5 papers receiving 370 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Effectiveness of mRNA-1273 against SARS-CoV-2 Omicron and Delta variants

2022 315 citations Hung Fu Tseng, Bradley K. Ackerson et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Aragones United States	4	351	122	62	54	49	5	376
Leo C. H. Tsang Hong Kong	5	346 1.0×	79 0.6×	47 0.8×	51 0.9×	55 1.1×	7	379
Lara Walotka Germany	5	303 0.9×	65 0.5×	50 0.8×	74 1.4×	51 1.0×	8	388
Gina S. Lee United States	9	491 1.4×	190 1.6×	76 1.2×	86 1.6×	64 1.3×	14	547
Wiebke Moskorz Germany	4	297 0.8×	65 0.5×	50 0.8×	34 0.6×	51 1.0×	6	357
Christopher Menne Germany	3	296 0.8×	65 0.5×	50 0.8×	29 0.5×	52 1.1×	4	340
Suvichada Assawakosri Thailand	9	286 0.8×	91 0.7×	30 0.5×	26 0.5×	59 1.2×	22	299
Sandrine Van Eeckhoudt Belgium	8	380 1.1×	61 0.5×	42 0.7×	41 0.8×	57 1.2×	11	405
Adam Brosz United States	4	363 1.0×	79 0.6×	30 0.5×	89 1.6×	78 1.6×	4	399
Nichole McGhee United States	3	357 1.0×	79 0.6×	29 0.5×	88 1.6×	76 1.6×	3	393
Patrícia Vieira da Silva Brazil	6	241 0.7×	119 1.0×	56 0.9×	31 0.6×	15 0.3×	11	294

Countries citing papers authored by Michael Aragones

Since Specialization

Citations

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

Fields of papers citing papers by Michael Aragones

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Aragones

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

All Works

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5 of 5 papers shown

1.

Tseng, Hung Fu, Bradley K. Ackerson, Katia Bruxvoort, et al.. (2023). Effectiveness of mRNA-1273 vaccination against SARS-CoV-2 omicron subvariants BA.1, BA.2, BA.2.12.1, BA.4, and BA.5. Nature Communications. 14(1). 189–189. 47 indexed citations

2.

Bruxvoort, Katia, Jiaxiao Shi, Komal J. Narwaney, et al.. (2023). SARS-CoV-2 Serology Did Not Predict Risk of Breakthrough Infection During the Omicron BA.1 and BA.2 Surge. Archives of Pathology & Laboratory Medicine. 148(1). 7–11. 1 indexed citations

3.

Tseng, Hung Fu, Bradley K. Ackerson, Yi Luo, et al.. (2022). Effectiveness of mRNA-1273 against SARS-CoV-2 Omicron and Delta variants. Nature Medicine. 28(5). 1063–1071. 315 indexed citations breakdown →

4.

Bruxvoort, Katia, et al.. (2021). Variation in SARS-CoV-2 molecular test sensitivity by specimen types in a large sample of emergency department patients. The American Journal of Emergency Medicine. 50. 381–387. 3 indexed citations

5.

Malden, Deborah E., Katia Bruxvoort, Hung Fu Tseng, et al.. (2021). Distribution of SARS-CoV-2 Variants in a Large Integrated Health Care System — California, March–July 2021. MMWR Morbidity and Mortality Weekly Report. 70(40). 1415–1419. 10 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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