Heather A. Fitzgerald

1.5k total citations
7 papers, 1.2k citations indexed

About

Heather A. Fitzgerald is a scholar working on Plant Science, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Heather A. Fitzgerald has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 4 papers in Molecular Biology and 0 papers in Infectious Diseases. Recurrent topics in Heather A. Fitzgerald's work include Plant-Microbe Interactions and Immunity (6 papers), Plant Pathogenic Bacteria Studies (3 papers) and Plant tissue culture and regeneration (3 papers). Heather A. Fitzgerald is often cited by papers focused on Plant-Microbe Interactions and Immunity (6 papers), Plant Pathogenic Bacteria Studies (3 papers) and Plant tissue culture and regeneration (3 papers). Heather A. Fitzgerald collaborates with scholars based in United States and South Korea. Heather A. Fitzgerald's co-authors include Pamela C. Ronald, Mawsheng Chern, Patrick E. Canlas, Duroy A. Navarre, Ram C. Yadav, Xinnian Dong, Roy Navarre, Wanhui Kim, Seong Jeon Yoo and Jeong Hwan Lee and has published in prestigious journals such as Nucleic Acids Research, The Plant Journal and Molecular Plant-Microbe Interactions.

In The Last Decade

Heather A. Fitzgerald

7 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heather A. Fitzgerald United States 7 1.1k 529 85 60 54 7 1.2k
Raul Zavaliev United States 12 1.1k 1.0× 483 0.9× 65 0.8× 40 0.7× 53 1.0× 13 1.3k
Synan Abu Qamar United Arab Emirates 3 951 0.9× 542 1.0× 73 0.9× 29 0.5× 51 0.9× 5 1.0k
Matthew Smoker United Kingdom 14 1.2k 1.1× 366 0.7× 169 2.0× 57 0.9× 69 1.3× 17 1.3k
R. Weide Netherlands 18 998 0.9× 373 0.7× 127 1.5× 62 1.0× 42 0.8× 23 1.1k
I. Oña Philippines 10 939 0.8× 343 0.6× 109 1.3× 108 1.8× 31 0.6× 12 1.0k
Deling Ruan United States 18 1.3k 1.2× 525 1.0× 73 0.9× 48 0.8× 36 0.7× 26 1.4k
Mily Ron United States 11 1.0k 0.9× 664 1.3× 116 1.4× 74 1.2× 89 1.6× 14 1.2k
Eddy Risseeuw Canada 12 801 0.7× 766 1.4× 47 0.6× 68 1.1× 17 0.3× 13 983
Muyang Wang China 13 1.0k 0.9× 470 0.9× 107 1.3× 32 0.5× 89 1.6× 20 1.1k
Du Seok Choi South Korea 15 999 0.9× 479 0.9× 63 0.7× 26 0.4× 31 0.6× 20 1.1k

Countries citing papers authored by Heather A. Fitzgerald

Since Specialization
Citations

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

Fields of papers citing papers by Heather A. Fitzgerald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather A. Fitzgerald. 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 Heather A. Fitzgerald. The network helps show where Heather A. Fitzgerald may publish in the future.

Co-authorship network of co-authors of Heather A. Fitzgerald

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

All Works

7 of 7 papers shown
1.
Lee, Hanna, Seong Jeon Yoo, Jeong Hwan Lee, et al.. (2010). Genetic framework for flowering-time regulation by ambient temperature-responsive miRNAs in Arabidopsis. Nucleic Acids Research. 38(9). 3081–3093. 205 indexed citations
2.
Chern, Mawsheng, Patrick E. Canlas, Heather A. Fitzgerald, & Pamela C. Ronald. (2005). Rice NRR, a negative regulator of disease resistance, interacts with Arabidopsis NPR1 and rice NH1. The Plant Journal. 43(5). 623–635. 114 indexed citations
3.
Chern, Mawsheng, Heather A. Fitzgerald, Patrick E. Canlas, Duroy A. Navarre, & Pamela C. Ronald. (2005). Overexpression of a Rice NPR1 Homolog Leads to Constitutive Activation of Defense Response and Hypersensitivity to Light. Molecular Plant-Microbe Interactions. 18(6). 511–520. 309 indexed citations
4.
Fitzgerald, Heather A., Patrick E. Canlas, Mawsheng Chern, & Pamela C. Ronald. (2005). Alteration of TGA factor activity in rice results in enhanced tolerance to Xanthomonas oryzae pv. oryzae. The Plant Journal. 43(3). 335–347. 64 indexed citations
5.
Fitzgerald, Heather A., Mawsheng Chern, Roy Navarre, & Pamela C. Ronald. (2004). Overexpression of (At)NPR1 in Rice Leads to a BTH- and Environment-Induced Lesion-Mimic/Cell Death Phenotype. Molecular Plant-Microbe Interactions. 17(2). 140–151. 169 indexed citations
6.
Campbell, Matthew A., Heather A. Fitzgerald, & Pamela C. Ronald. (2002). Engineering Pathogen Resistance in Crop Plants. Transgenic Research. 11(6). 599–613. 54 indexed citations
7.
Chern, Mawsheng, Heather A. Fitzgerald, Ram C. Yadav, et al.. (2001). Evidence for a disease‐resistance pathway in rice similar to the NPR1‐mediated signaling pathway in Arabidopsis. The Plant Journal. 27(2). 101–113. 271 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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