Ashley Fell

638 total citations
4 papers, 28 citations indexed

About

Ashley Fell is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Ashley Fell has authored 4 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Modeling and Simulation and 1 paper in Infectious Diseases. Recurrent topics in Ashley Fell's work include COVID-19 epidemiological studies (2 papers), Urinary Tract Infections Management (1 paper) and Chromosomal and Genetic Variations (1 paper). Ashley Fell is often cited by papers focused on COVID-19 epidemiological studies (2 papers), Urinary Tract Infections Management (1 paper) and Chromosomal and Genetic Variations (1 paper). Ashley Fell collaborates with scholars based in United States. Ashley Fell's co-authors include Tingting Duan, Joel A. Morales‐Rosado, Michael W. Klein, Pamela Geyer, Ryan M. Baxley, Elizabeth Schiffman, Kathryn Como‐Sabetti, Leslie Kollmann, Stacy Holzbauer and Scott Seys and has published in prestigious journals such as Nucleic Acids Research, Emerging infectious diseases and Epidemiology and Infection.

In The Last Decade

Ashley Fell

2 papers receiving 28 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashley Fell United States	2	24	15	3	3	1	4	28
Matthieu Villegente New Caledonia	3	21 0.9×	19 1.3×	2 0.7×			3	32
Yanbo Xu China	3	24 1.0×	15 1.0×	2 0.7×		1 1.0×	4	32
Fabio Júnior Kochanovski Brazil	3	14 0.6×	13 0.9×	2 0.7×			4	35
Vinay Kaikala Switzerland	3	15 0.6×	12 0.8×	5 1.7×			4	20
Jinjin Song China	4	20 0.8×	21 1.4×	4 1.3×		2 2.0×	9	36
Samuel Muthemba Kenya	2	18 0.8×	22 1.5×	6 2.0×			2	37
Jesse R. Walsh United States	3	16 0.7×	11 0.7×	6 2.0×			5	20
Daniel DiCorpo United States	2	34 1.4×	7 0.5×	3 1.0×			3	38
Audrey T. Lin United Kingdom	2	14 0.6×	10 0.7×	3 1.0×		1 1.0×	3	19

Countries citing papers authored by Ashley Fell

Since Specialization

Citations

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

Fields of papers citing papers by Ashley Fell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashley Fell

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

All Works

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4 of 4 papers shown

1.

Fell, Ashley, Stacy Holzbauer, Leslie Kollmann, et al.. (2024). COVID-19 Death Determination Methods, Minnesota, USA, 2020–20221. Emerging infectious diseases. 30(7). 1352–1360.

2.

Seys, Scott, et al.. (2024). Association between age of paediatric index cases and household SARS-CoV-2 transmission. Epidemiology and Infection. 152. e145–e145.

3.

Fell, Ashley. (2017). Using National Healthcare Safety Network Central Line-Associated Bloodstream Infection and Catheter-Associated Urinary Tract Infection Data to Identify Potential Clusters. 3 indexed citations

4.

Baxley, Ryan M., Michael W. Klein, Ashley Fell, et al.. (2017). Deciphering the DNA code for the function of the Drosophila polydactyl zinc finger protein Suppressor of Hairy-wing. Nucleic Acids Research. 45(8). 4463–4478. 25 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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