Ryan Gadd

455 total citations · 1 hit paper
3 papers, 138 citations indexed

About

Ryan Gadd is a scholar working on Infectious Diseases, Animal Science and Zoology and Clinical Biochemistry. According to data from OpenAlex, Ryan Gadd has authored 3 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 1 paper in Animal Science and Zoology and 1 paper in Clinical Biochemistry. Recurrent topics in Ryan Gadd's work include SARS-CoV-2 and COVID-19 Research (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). Ryan Gadd is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). Ryan Gadd collaborates with scholars based in United States and France. Ryan Gadd's co-authors include Madison Shyer, Jessica Cambric, Matthew Ojeda Saavedra, Jimmy Gollihar, Akanksha Batajoo, Randall J. Olsen, James J. Davis, Robert Olson, Kristina Reppond and Rashi M. Thakur and has published in prestigious journals such as American Journal Of Pathology and mBio.

In The Last Decade

Ryan Gadd

3 papers receiving 138 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.

Signals of Significantly Increased Vaccine Breakthrough, Decreased Hospitalization Rates, and Less Severe Disease in Patients with Coronavirus Disease 2019 Caused by the Omicron Variant of Severe Acute Respiratory Syndrome Coronavirus 2 in Houston, Texas

2022 127 citations Paul Christensen, Randall J. Olsen et al. American Journal Of Pathology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan Gadd United States	2	117	27	20	19	16	3	138
Akanksha Batajoo United States	3	118 1.0×	27 1.0×	20 1.0×	19 1.0×	16 1.0×	3	141
Rashi M. Thakur United States	3	117 1.0×	27 1.0×	20 1.0×	19 1.0×	17 1.1×	3	141
Sheng Long United States	5	110 0.9×	26 1.0×	25 1.3×	18 0.9×	13 0.8×	11	158
Kristina Reppond United States	3	141 1.2×	28 1.0×	27 1.4×	19 1.0×	18 1.1×	3	165
Madison Shyer United States	4	141 1.2×	29 1.1×	28 1.4×	19 1.0×	19 1.2×	7	173
Sarah Ducat United States	3	128 1.1×	29 1.1×	18 0.9×	13 0.7×	5 0.3×	3	148
Maria Squires United Kingdom	3	169 1.4×	24 0.9×	9 0.5×	23 1.2×	8 0.5×	4	182
Becky Batchelor United Kingdom	4	174 1.5×	24 0.9×	10 0.5×	24 1.3×	8 0.5×	5	189
Victoria Giffin United States	2	103 0.9×	23 0.9×	16 0.8×	13 0.7×	5 0.3×	3	122
Benjamin Chung United States	2	105 0.9×	23 0.9×	16 0.8×	13 0.7×	5 0.3×	2	123

Countries citing papers authored by Ryan Gadd

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Gadd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Gadd

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

All Works

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3 of 3 papers shown

1.

Eraso, Jesus M., Randall J. Olsen, S. Wesley Long, et al.. (2024). Integrative genomic, virulence, and transcriptomic analysis of emergent Streptococcus dysgalactiae subspecies equisimilis (SDSE) emm type stG62647 isolates causing human infections. mBio. 15(11). e0257824–e0257824. 1 indexed citations

2.

Christensen, Paul, Randall J. Olsen, Sheng Long, et al.. (2022). Signals of Significantly Increased Vaccine Breakthrough, Decreased Hospitalization Rates, and Less Severe Disease in Patients with Coronavirus Disease 2019 Caused by the Omicron Variant of Severe Acute Respiratory Syndrome Coronavirus 2 in Houston, Texas. American Journal Of Pathology. 192(4). 642–652. 127 indexed citations breakdown →

3.

Olsen, Randall J., Paul Christensen, S. Wesley Long, et al.. (2021). Trajectory of Growth of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variants in Houston, Texas, January through May 2021, Based on 12,476 Genome Sequences. American Journal Of Pathology. 191(10). 1754–1773. 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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