T. Riley

628 total citations
10 papers, 465 citations indexed

About

T. Riley is a scholar working on Plant Science, Cell Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, T. Riley has authored 10 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 5 papers in Cell Biology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in T. Riley's work include Plant Pathogenic Bacteria Studies (6 papers), Plant Pathogens and Fungal Diseases (5 papers) and Phytoplasmas and Hemiptera pathogens (3 papers). T. Riley is often cited by papers focused on Plant Pathogenic Bacteria Studies (6 papers), Plant Pathogens and Fungal Diseases (5 papers) and Phytoplasmas and Hemiptera pathogens (3 papers). T. Riley collaborates with scholars based in United States, United Kingdom and Argentina. T. Riley's co-authors include T. R. Gottwald, James H. Graham, Xiaoan Sun, G. Hughes, Earl L. Taylor, T. R. Gottwald, P. E. Parker, Clive H. Bock, Stephen Parnell and Frank van den Bosch and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Ecological Applications and Phytopathology.

In The Last Decade

T. Riley

10 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Riley United States 8 394 156 46 43 35 10 465
Hossein A. Narouei‐Khandan United States 10 269 0.7× 57 0.4× 122 2.7× 52 1.2× 36 1.0× 11 356
RN Allen Australia 13 435 1.1× 140 0.9× 55 1.2× 35 0.8× 52 1.5× 30 463
N. D. Suassuna Brazil 12 429 1.1× 80 0.5× 84 1.8× 15 0.3× 30 0.9× 65 462
Claudia Bartoli France 13 603 1.5× 218 1.4× 24 0.5× 47 1.1× 36 1.0× 21 705
Rafael Galbieri Brazil 12 351 0.9× 68 0.4× 69 1.5× 32 0.7× 17 0.5× 47 417
A. L. Mila United States 14 333 0.8× 124 0.8× 22 0.5× 20 0.5× 53 1.5× 24 384
K. F. Andersen United States 11 291 0.7× 44 0.3× 26 0.6× 20 0.5× 24 0.7× 21 337
S. Giosuè Italy 16 606 1.5× 366 2.3× 51 1.1× 34 0.8× 168 4.8× 36 644
Tatiana V. Roubtsova United States 11 396 1.0× 119 0.8× 116 2.5× 135 3.1× 45 1.3× 21 527
Richard D. Schein United States 6 444 1.1× 140 0.9× 46 1.0× 36 0.8× 63 1.8× 12 508

Countries citing papers authored by T. Riley

Since Specialization
Citations

This map shows the geographic impact of T. Riley'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 T. Riley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Riley more than expected).

Fields of papers citing papers by T. Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Riley

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

All Works

10 of 10 papers shown
1.
Gottwald, T. R., Weiqi Luo, Drew Posny, T. Riley, & Frank J. Louws. (2019). A probabilistic census-travel model to predict introduction sites of exotic plant, animal and human pathogens. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1776). 20180260–20180260. 14 indexed citations
3.
Parnell, Stephen, T. R. Gottwald, T. Riley, & Frank van den Bosch. (2013). A generic risk‐based surveying method for invading plant pathogens. Ecological Applications. 24(4). 779–790. 43 indexed citations
4.
Gottwald, T. R., J. H. Graham, Clive H. Bock, et al.. (2009). The epidemiological significance of post-packinghouse survival of Xanthomonas citri subsp. citri for dissemination of Asiatic citrus canker via infected fruit. Crop Protection. 28(6). 508–524. 58 indexed citations
5.
Bock, Clive H., P. E. Parker, A. Z. Cook, T. Riley, & T. R. Gottwald. (2009). Comparison of Assessment of Citrus Canker Foliar Symptoms by Experienced and Inexperienced Raters. Plant Disease. 93(4). 412–424. 38 indexed citations
7.
Gottwald, T. R., S. M. Garnsey, & T. Riley. (2002). Latency of Systemic Infection in YoungField-Grown Sweet Orange Trees Following Graft-Inoculation with Citrus tristeza virus. International Organization of Citrus Virologists Conference Proceedings (1957-2010). 15(15). 3 indexed citations
8.
Gottwald, T. R., et al.. (2002). Geo-Referenced Spatiotemporal Analysis of the Urban Citrus Canker Epidemic in Florida. Phytopathology. 92(4). 361–377. 96 indexed citations
9.
Gottwald, T. R., G. Hughes, James H. Graham, Xiaoan Sun, & T. Riley. (2001). The Citrus Canker Epidemic in Florida: The Scientific Basis of Regulatory Eradication Policy for an Invasive Species. Phytopathology. 91(1). 30–34. 166 indexed citations
10.
Gottwald, T. R., J. H. Graham, & T. Riley. (1997). The Influence of Spray Adjuvants on Exacerbation of Citrus Bacterial Spot. Plant Disease. 81(11). 1305–1310. 7 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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