Megan Doyle

798 total citations · 1 hit paper
7 papers, 426 citations indexed

About

Megan Doyle is a scholar working on Plant Science, Infectious Diseases and Horticulture. According to data from OpenAlex, Megan Doyle has authored 7 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 2 papers in Infectious Diseases and 2 papers in Horticulture. Recurrent topics in Megan Doyle's work include Plant Virus Research Studies (3 papers), Phytoplasmas and Hemiptera pathogens (2 papers) and Plant Pathogenic Bacteria Studies (2 papers). Megan Doyle is often cited by papers focused on Plant Virus Research Studies (3 papers), Phytoplasmas and Hemiptera pathogens (2 papers) and Plant Pathogenic Bacteria Studies (2 papers). Megan Doyle collaborates with scholars based in United States, Honduras and United Kingdom. Megan Doyle's co-authors include Pranav Pandit, Christine K. Johnson, Cristin C. W. Young, Tierra Smiley Evans, Julie Rushmore, Peta L. Hitchens, N. A. Harrison, Carlos Oropeza, P. Jones and Philip W. Jones and has published in prestigious journals such as Nature Communications, Proceedings of the Royal Society B Biological Sciences and Plant Disease.

In The Last Decade

Megan Doyle

7 papers receiving 403 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.

Global shifts in mammalian population trends reveal key predictors of virus spillover risk

2020 310 citations Christine K. Johnson, Peta L. Hitchens et al. Proceedings of the Royal Society B Biological Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Megan Doyle United States	5	238	166	90	53	46	7	426
Nicole Nova United States	12	270 1.1×	189 1.1×	77 0.9×	27 0.5×	65 1.4×	18	475
Laura S. P. Bloomfield United States	8	256 1.1×	149 0.9×	105 1.2×	13 0.2×	61 1.3×	15	503
S. Suon Cambodia	14	250 1.1×	74 0.4×	250 2.8×	61 1.2×	53 1.2×	22	681
Erica Johnson United States	5	115 0.5×	57 0.3×	42 0.5×	32 0.6×	52 1.1×	7	332
Neil Alexander United Kingdom	13	137 0.6×	163 1.0×	83 0.9×	71 1.3×	92 2.0×	27	452
David Bunn United States	12	91 0.4×	66 0.4×	114 1.3×	34 0.6×	33 0.7×	28	590
Tim Shields United States	4	515 2.2×	124 0.7×	21 0.2×	44 0.8×	83 1.8×	4	640
Kenneth Neill Cameron United States	14	145 0.6×	185 1.1×	38 0.4×	40 0.8×	122 2.7×	43	710
M. Cornet France	16	560 2.4×	498 3.0×	42 0.5×	56 1.1×	36 0.8×	81	805
Josue Liriano United States	4	248 1.0×	129 0.8×	103 1.1×	64 1.2×	128 2.8×	4	520

Countries citing papers authored by Megan Doyle

Since Specialization

Citations

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

Fields of papers citing papers by Megan Doyle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Doyle

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

All Works

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7 of 7 papers shown

1.

Johnson, Christine K., Peta L. Hitchens, Pranav Pandit, et al.. (2020). Global shifts in mammalian population trends reveal key predictors of virus spillover risk. Proceedings of the Royal Society B Biological Sciences. 287(1924). 20192736–20192736. 310 indexed citations breakdown →

2.

Pandit, Pranav, et al.. (2018). Predicting wildlife reservoirs and global vulnerability to zoonotic Flaviviruses. Nature Communications. 9(1). 5425–5425. 65 indexed citations

3.

Palmieri, Maria, et al.. (2004). First report of coconut lethal yellowing disease in Guatemala. Plant Pathology. 53(6). 800–800. 2 indexed citations

4.

Harrison, N. A., et al.. (2002). 16S rRNA interoperon sequence heterogeneity distinguishes strain populations of palm lethal yellowing phytoplasma in the Caribbean region. Annals of Applied Biology. 141(2). 183–193. 35 indexed citations

5.

Doyle, Megan, et al.. (2000). First Report and Characterization of Rhynchosia golden mosaic virus in Honduras. Plant Disease. 84(9). 1045–1045. 3 indexed citations

6.

Doyle, Megan, et al.. (1992). Purification, characterization and serological properties of two virus isolates associated with the maize stripe disease in Mauritius. Plant Pathology. 41(3). 325–334. 7 indexed citations

7.

Doyle, Megan, et al.. (1992). Assessment of yield losses as a result of co‐infection by maize streak virus and maize stripe virus in Mauritius. Annals of Applied Biology. 120(3). 443–450. 4 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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