Anna E. Whitfield

8.6k total citations · 3 hit papers
70 papers, 4.1k citations indexed

About

Anna E. Whitfield is a scholar working on Plant Science, Insect Science and Molecular Biology. According to data from OpenAlex, Anna E. Whitfield has authored 70 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Plant Science, 49 papers in Insect Science and 15 papers in Molecular Biology. Recurrent topics in Anna E. Whitfield's work include Plant Virus Research Studies (63 papers), Insect-Plant Interactions and Control (42 papers) and Insect symbiosis and bacterial influences (21 papers). Anna E. Whitfield is often cited by papers focused on Plant Virus Research Studies (63 papers), Insect-Plant Interactions and Control (42 papers) and Insect symbiosis and bacterial influences (21 papers). Anna E. Whitfield collaborates with scholars based in United States, United Kingdom and Japan. Anna E. Whitfield's co-authors include Dorith Rotenberg, Saskia A. Hogenhout, Margaret G. Redinbaugh, El‐Desouky Ammar, Diane E. Ullman, Thomas L. German, Bryce W. Falk, Derek J. Schneweis, Jonathan E. Oliver and Alana L. Jacobson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Current Biology.

In The Last Decade

Anna E. Whitfield

68 papers receiving 4.0k citations

Hit Papers

Insect Vector Interactions with Persistently Transmitted ... 2008 2026 2014 2020 2008 2015 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna E. Whitfield United States 31 3.4k 2.6k 767 689 289 70 4.1k
Tàiyún Wèi China 39 3.7k 1.1× 2.0k 0.8× 949 1.2× 607 0.9× 522 1.8× 136 4.3k
Scott Adkins United States 29 3.6k 1.1× 1.5k 0.6× 476 0.6× 1.1k 1.5× 143 0.5× 165 4.0k
Bryce W. Falk United States 36 3.8k 1.1× 2.0k 0.8× 1.1k 1.5× 1.1k 1.6× 245 0.8× 121 4.4k
Diane E. Ullman United States 34 3.6k 1.0× 2.7k 1.0× 753 1.0× 458 0.7× 108 0.4× 78 4.2k
Jesús Navas‐Castillo Spain 46 7.4k 2.2× 3.3k 1.2× 816 1.1× 2.1k 3.0× 202 0.7× 163 7.7k
Siddarame Gowda United States 35 3.8k 1.1× 1.8k 0.7× 1.0k 1.3× 1.1k 1.5× 198 0.7× 90 4.2k
El‐Desouky Ammar United States 28 3.5k 1.0× 2.7k 1.0× 526 0.7× 273 0.4× 265 0.9× 99 4.0k
Wan-Xiang Li United States 12 1.4k 0.4× 732 0.3× 1.1k 1.4× 525 0.8× 321 1.1× 12 2.5k
Richard Kormelink Netherlands 41 4.6k 1.4× 1.6k 0.6× 949 1.2× 1.7k 2.5× 246 0.9× 121 5.2k
Guohui Zhou China 28 1.5k 0.4× 918 0.4× 698 0.9× 226 0.3× 179 0.6× 93 2.4k

Countries citing papers authored by Anna E. Whitfield

Since Specialization
Citations

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

Fields of papers citing papers by Anna E. Whitfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna E. Whitfield. 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 Anna E. Whitfield. The network helps show where Anna E. Whitfield may publish in the future.

Co-authorship network of co-authors of Anna E. Whitfield

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

All Works

20 of 20 papers shown
1.
Schnabel, Elise, et al.. (2025). Exploring the Virome of Blackberry and Wild Rubus spp. in South Carolina. Phytobiomes Journal. 9(1). 80–94.
2.
Xavier, César Augusto Diniz, et al.. (2024). RNAi ‐mediated knockdown of exportin 1 negatively affected ovary development, survival and maize mosaic virus accumulation in its insect vector Peregrinus maidis. Insect Molecular Biology. 33(4). 295–311. 2 indexed citations
3.
Shymanovich, Tatsiana, Amanda C. Saville, Noor Mohammad, et al.. (2024). Disease Progress and Detection of a California Resistance-Breaking Strain of Tomato Spotted Wilt Virus in Tomato with LAMP and CRISPR-Cas12a Assays. SHILAP Revista de lepidopterología. 4(1). 50–60. 6 indexed citations
4.
5.
Ribeiro, Simone G., Ângela Mehta, Wagner Fontes, et al.. (2023). A Capsid Protein Fragment of a Fusagra-like Virus Found in Carica papaya Latex Interacts with the 50S Ribosomal Protein L17. Viruses. 15(2). 541–541. 4 indexed citations
6.
Lee, Giwon, Oindrila Hossain, Yuxuan Liu, et al.. (2023). Abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring. Science Advances. 9(15). eade2232–eade2232. 110 indexed citations breakdown →
7.
Wang, Yuhui, et al.. (2023). Structural and functional insights into the ATP ‐binding cassette transporter family in the corn planthopper, Peregrinus maidis. Insect Molecular Biology. 32(4). 412–423. 4 indexed citations
8.
9.
Xavier, César Augusto Diniz & Anna E. Whitfield. (2023). Plant virology. Current Biology. 33(11). R478–R484. 5 indexed citations
10.
12.
Paul, Rajesh, Yuting Chen, Amanda C. Saville, et al.. (2021). Integrated microneedle-smartphone nucleic acid amplification platform for in-field diagnosis of plant diseases. Biosensors and Bioelectronics. 187. 113312–113312. 65 indexed citations
13.
Grubbs, Nathaniel, et al.. (2021). Microinjection of Corn Planthopper, <em>Peregrinus maidis</em>, Embryos for CRISPR/Cas9 Genome Editing. Journal of Visualized Experiments. 9 indexed citations
14.
Xavier, César Augusto Diniz, Margaret L. Allen, & Anna E. Whitfield. (2021). Ever-increasing viral diversity associated with the red imported fire ant Solenopsis invicta (Formicidae: Hymenoptera). Virology Journal. 18(1). 5–5. 8 indexed citations
15.
Martin, Kathleen, et al.. (2021). Design and Validation of Plasmid Vectors for Characterizing Protein–Protein Interactions in Spodoptera frugiperda Insect Cells. SHILAP Revista de lepidopterología. 2(2). 85–91. 2 indexed citations
16.
German, Thomas L., Marcé D. Lorenzen, Nathaniel Grubbs, & Anna E. Whitfield. (2020). New Technologies for Studying Negative-Strand RNA Viruses in Plant and Arthropod Hosts. Molecular Plant-Microbe Interactions. 33(3). 382–393. 17 indexed citations
17.
Martin, Kathleen & Anna E. Whitfield. (2019). Complete Genome Sequence of Maize Mosaic Nucleorhabdovirus. Microbiology Resource Announcements. 8(29). 2 indexed citations
18.
Badillo-Vargas, Ismael E., Yuting Chen, Kathleen Martin, Dorith Rotenberg, & Anna E. Whitfield. (2019). Discovery of Novel Thrips Vector Proteins That Bind to the Viral Attachment Protein of the Plant Bunyavirus Tomato Spotted Wilt Virus. Journal of Virology. 93(21). 36 indexed citations
19.
Chen, Yuting, Moshe Dessau, Dorith Rotenberg, David A. Rasmussen, & Anna E. Whitfield. (2019). Entry of bunyaviruses into plants and vectors. Advances in virus research. 104. 65–96. 19 indexed citations
20.
Whitfield, Anna E., Bryce W. Falk, & Dorith Rotenberg. (2015). Insect vector-mediated transmission of plant viruses. Virology. 479-480. 278–289. 372 indexed citations breakdown →

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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