Jennifer M. Davidson

943 total citations
9 papers, 655 citations indexed

About

Jennifer M. Davidson is a scholar working on Cell Biology, Plant Science and Molecular Biology. According to data from OpenAlex, Jennifer M. Davidson has authored 9 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 6 papers in Plant Science and 4 papers in Molecular Biology. Recurrent topics in Jennifer M. Davidson's work include Plant Pathogens and Fungal Diseases (6 papers), Plant Pathogens and Resistance (6 papers) and Yeasts and Rust Fungi Studies (4 papers). Jennifer M. Davidson is often cited by papers focused on Plant Pathogens and Fungal Diseases (6 papers), Plant Pathogens and Resistance (6 papers) and Yeasts and Rust Fungi Studies (4 papers). Jennifer M. Davidson collaborates with scholars based in United States and Russia. Jennifer M. Davidson's co-authors include David M. Rizzo, Hollie M. Putnam, Ruth D. Gates, Allison C. Wickland, Matteo Garbelotto, S. T. Koike, Patricia E. Maloney, Kelly Ivors, D. Hüberli and Raphael Ritson‐Williams and has published in prestigious journals such as Scientific Reports, Phytopathology and Coral Reefs.

In The Last Decade

Jennifer M. Davidson

9 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer M. Davidson United States 7 428 293 276 241 114 9 655
Celeste A. Leander Canada 6 102 0.2× 83 0.3× 206 0.7× 166 0.7× 63 0.6× 7 356
Pascal L. Zaffarano Switzerland 8 320 0.7× 218 0.7× 100 0.4× 128 0.5× 23 0.2× 9 470
Wendy Sutton United States 17 1.1k 2.6× 917 3.1× 772 2.8× 188 0.8× 66 0.6× 53 1.3k
Romain Savary Switzerland 11 201 0.5× 35 0.1× 60 0.2× 90 0.4× 77 0.7× 15 454
Carolina Cornejo Switzerland 16 502 1.2× 164 0.6× 108 0.4× 81 0.3× 8 0.1× 46 682
Alexander I. Putman United States 7 173 0.4× 99 0.3× 84 0.3× 99 0.4× 25 0.2× 13 457
Shichao Chen China 11 176 0.4× 46 0.2× 270 1.0× 92 0.4× 14 0.1× 20 540
Daniela Csencsics Switzerland 13 316 0.7× 56 0.2× 137 0.5× 108 0.4× 40 0.4× 17 631
Brooke K. Sullivan Australia 10 106 0.2× 41 0.1× 121 0.4× 266 1.1× 60 0.5× 16 425
P. G. Goicoechea Spain 15 616 1.4× 98 0.3× 243 0.9× 106 0.4× 36 0.3× 28 1.0k

Countries citing papers authored by Jennifer M. Davidson

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Davidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer M. Davidson. 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 Jennifer M. Davidson. The network helps show where Jennifer M. Davidson may publish in the future.

Co-authorship network of co-authors of Jennifer M. Davidson

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

All Works

9 of 9 papers shown
1.
Davidson, Jennifer M., et al.. (2025). Short-term stress testing predicts subsequent natural bleaching variation. Coral Reefs. 44(2). 399–409. 2 indexed citations
2.
Putnam, Hollie M., et al.. (2020). Environmentally-induced parental or developmental conditioning influences coral offspring ecological performance. Scientific Reports. 10(1). 13664–13664. 38 indexed citations
3.
Putnam, Hollie M., Jennifer M. Davidson, & Ruth D. Gates. (2016). Ocean acidification influences host DNA methylation and phenotypic plasticity in environmentally susceptible corals. Evolutionary Applications. 9(9). 1165–1178. 156 indexed citations
4.
Davidson, Jennifer M., et al.. (2011). Forest Type Influences Transmission of Phytophthora ramorum in California Oak Woodlands. Phytopathology. 101(4). 492–501. 42 indexed citations
5.
Davidson, Jennifer M., et al.. (2005). Transmission of Phytophthora ramorum in Mixed-Evergreen Forest in California. Phytopathology. 95(5). 587–596. 256 indexed citations
6.
Garbelotto, Matteo, Jennifer M. Davidson, Kelly Ivors, et al.. (2003). Non-oak native plants are main hosts for sudden oak death pathogen in California - eScholarship. California Agriculture. 57(1). 2 indexed citations
7.
Garbelotto, Matteo, Jennifer M. Davidson, Kelly Ivors, et al.. (2003). Non-oak native plants are main hosts for sudden oak death pathogen in California. California Agriculture. 57(1). 18–23. 84 indexed citations
8.
Davidson, Jennifer M., et al.. (2002). Phytophthora ramorum and Sudden Oak Death in California: II. Transmission and Survival 1. 184. 38 indexed citations
9.
Rizzo, David M., et al.. (2002). Phytophthora ramorum and Sudden Oak Death in California: I. Host Relationships 1. 184. 733–740. 37 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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