Kaitlin E. McNally

708 total citations
8 papers, 491 citations indexed

About

Kaitlin E. McNally is a scholar working on Plant Science, Genetics and Infectious Diseases. According to data from OpenAlex, Kaitlin E. McNally has authored 8 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 1 paper in Genetics and 0 papers in Infectious Diseases. Recurrent topics in Kaitlin E. McNally's work include Wheat and Barley Genetics and Pathology (5 papers), Plant-Microbe Interactions and Immunity (5 papers) and Plant Pathogens and Resistance (3 papers). Kaitlin E. McNally is often cited by papers focused on Wheat and Barley Genetics and Pathology (5 papers), Plant-Microbe Interactions and Immunity (5 papers) and Plant Pathogens and Resistance (3 papers). Kaitlin E. McNally collaborates with scholars based in Switzerland, Israel and China. Kaitlin E. McNally's co-authors include Salim Bourras, Beat Keller, Thomas Wicker, Roi Ben‐David, Fabrizio Menardo, Francis Parlange, Stefan Roffler, Coraline R. Praz, Simone Oberhaensli and Marion C. Müller and has published in prestigious journals such as Nature Genetics, The Plant Cell and New Phytologist.

In The Last Decade

Kaitlin E. McNally

8 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaitlin E. McNally Switzerland 7 480 120 68 29 12 8 491
Helen Zbinden Switzerland 6 426 0.9× 59 0.5× 69 1.0× 46 1.6× 8 0.7× 8 449
Anna Gordon United Kingdom 8 441 0.9× 93 0.8× 85 1.3× 21 0.7× 6 0.5× 10 475
Nick C. Snelders Netherlands 6 309 0.6× 104 0.9× 64 0.9× 11 0.4× 9 0.8× 7 336
Salim Bourras Switzerland 15 735 1.5× 186 1.6× 167 2.5× 35 1.2× 36 3.0× 26 776
Brian Gilbert Australia 6 329 0.7× 54 0.5× 104 1.5× 29 1.0× 8 0.7× 6 356
Daniel Stirnweis Switzerland 8 478 1.0× 38 0.3× 76 1.1× 37 1.3× 27 2.3× 9 489
Stefanie Lück Germany 7 286 0.6× 86 0.7× 99 1.5× 21 0.7× 12 1.0× 12 331
James G. Jordahl United States 11 573 1.2× 167 1.4× 99 1.5× 77 2.7× 6 0.5× 14 587
J.C. Boshoven Netherlands 5 427 0.9× 87 0.7× 87 1.3× 8 0.3× 11 0.9× 7 449
Soichiro Asuke Japan 8 339 0.7× 125 1.0× 112 1.6× 51 1.8× 4 0.3× 22 363

Countries citing papers authored by Kaitlin E. McNally

Since Specialization
Citations

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

Fields of papers citing papers by Kaitlin E. McNally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaitlin E. McNally

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

All Works

8 of 8 papers shown
1.
McNally, Kaitlin E., Fabrizio Menardo, Coraline R. Praz, et al.. (2018). Distinct domains of the AVRPM3A2/F2 avirulence protein from wheat powdery mildew are involved in immune receptor recognition and putative effector function. New Phytologist. 218(2). 681–695. 22 indexed citations
2.
Bourras, Salim, Kaitlin E. McNally, Marion C. Müller, Thomas Wicker, & Beat Keller. (2016). Avirulence Genes in Cereal Powdery Mildews: The Gene-for-Gene Hypothesis 2.0. Frontiers in Plant Science. 7. 241–241. 47 indexed citations
3.
Menardo, Fabrizio, Coraline R. Praz, Stefan Wyder, et al.. (2016). Hybridization of powdery mildew strains gives rise to pathogens on novel agricultural crop species. Nature Genetics. 48(2). 201–205. 132 indexed citations
4.
Praz, Coraline R., Salim Bourras, Javier Sánchez‐Martín, et al.. (2016). AvrPm2 encodes an RNase‐like avirulence effector which is conserved in the two different specialized forms of wheat and rye powdery mildew fungus. New Phytologist. 213(3). 1301–1314. 94 indexed citations
5.
Bourras, Salim, Kaitlin E. McNally, Roi Ben‐David, et al.. (2015). Multiple Avirulence Loci and Allele-Specific Effector Recognition Control thePm3Race-Specific Resistance of Wheat to Powdery Mildew. The Plant Cell. 27(10). tpc.15.00171–tpc.15.00171. 109 indexed citations
6.
Parlange, Francis, Stefan Roffler, Fabrizio Menardo, et al.. (2015). Genetic and molecular characterization of a locus involved in avirulence of Blumeria graminis f. sp. tritici on wheat Pm3 resistance alleles. Fungal Genetics and Biology. 82. 181–192. 40 indexed citations
7.
Pham, Anh-Tung, Kaitlin E. McNally, Hussein Abdel‐Haleem, H. R. Boerma, & Zenglu Li. (2013). Fine mapping and identification of candidate genes controlling the resistance to southern root-knot nematode in PI 96354. Theoretical and Applied Genetics. 126(7). 1825–1838. 43 indexed citations
8.
Shen, Li, et al.. (1999). Developing near-isogenic lines of IR64 introgressed with QTLs for deeper and thicker roots through marker-aided selection. Agritrop (Cirad). 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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2026