Martin J. Egan

2.1k total citations
24 papers, 1.6k citations indexed

About

Martin J. Egan is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Martin J. Egan has authored 24 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Cell Biology and 8 papers in Plant Science. Recurrent topics in Martin J. Egan's work include Fungal and yeast genetics research (12 papers), Microtubule and mitosis dynamics (7 papers) and Protist diversity and phylogeny (6 papers). Martin J. Egan is often cited by papers focused on Fungal and yeast genetics research (12 papers), Microtubule and mitosis dynamics (7 papers) and Protist diversity and phylogeny (6 papers). Martin J. Egan collaborates with scholars based in United States, United Kingdom and Australia. Martin J. Egan's co-authors include Nicholas J. Talbot, Samara L. Reck‐Peterson, Gavin E. Wakley, Claire Veneault‐Fourrey, Madhumita Barooah, Nicholas Smirnoff, Mark A. Jones, Kaeling Tan, Thomas A. Richards and David Bass and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Martin J. Egan

24 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin J. Egan United States 13 991 837 653 155 137 24 1.6k
Minou Nowrousian Germany 31 1.6k 1.6× 1.3k 1.6× 605 0.9× 678 4.4× 111 0.8× 71 2.3k
Helmut Bertrand Canada 29 1.7k 1.7× 1.1k 1.3× 430 0.7× 110 0.7× 196 1.4× 85 2.5k
Ľubomír Tomáška Slovakia 26 1.5k 1.5× 391 0.5× 126 0.2× 47 0.3× 120 0.9× 99 1.9k
Ulla Neumann Germany 22 928 0.9× 1.8k 2.1× 680 1.0× 66 0.4× 44 0.3× 50 2.3k
Núria S. Coll Spain 29 1.3k 1.3× 2.7k 3.2× 314 0.5× 21 0.1× 84 0.6× 66 3.3k
Meng Yang China 21 890 0.9× 668 0.8× 124 0.2× 45 0.3× 85 0.6× 86 1.5k
Mehdi Kabbage United States 25 799 0.8× 2.2k 2.6× 460 0.7× 65 0.4× 31 0.2× 54 2.6k
Patricia V. Burke United States 18 1.2k 1.2× 278 0.3× 202 0.3× 58 0.4× 138 1.0× 26 1.5k
Hélène San Clemente France 24 1.1k 1.1× 1.3k 1.5× 132 0.2× 105 0.7× 48 0.4× 48 2.0k
Christophe Bruel France 18 539 0.5× 569 0.7× 238 0.4× 109 0.7× 21 0.2× 32 959

Countries citing papers authored by Martin J. Egan

Since Specialization
Citations

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

Fields of papers citing papers by Martin J. Egan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin J. Egan. 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 Martin J. Egan. The network helps show where Martin J. Egan may publish in the future.

Co-authorship network of co-authors of Martin J. Egan

This figure shows the co-authorship network connecting the top 25 collaborators of Martin J. Egan. A scholar is included among the top collaborators of Martin J. Egan 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 Martin J. Egan. Martin J. Egan 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.
Taylor, Rachel A., et al.. (2023). The cell-end protein Tea4 spatially regulates hyphal branch initiation and appressorium remodeling in the blast fungus Magnaporthe oryzae. Molecular Biology of the Cell. 35(1). br2–br2. 4 indexed citations
2.
Zhang, Jun, Rongde Qiu, C. Elizabeth Oakley, et al.. (2023). Aspergillus SUMOylation mutants exhibit chromosome segregation defects including chromatin bridges. Genetics. 225(4). 1 indexed citations
3.
Egan, Martin J., et al.. (2022). Septum-associated microtubule organizing centers within conidia support infectious development by the blast fungus Magnaporthe oryzae. Fungal Genetics and Biology. 165. 103768–103768. 5 indexed citations
4.
Egan, Martin J., et al.. (2021). 4D Widefield Fluorescence Imaging of Appressorium Morphogenesis by Magnaporthe oryzae. Methods in molecular biology. 2356. 87–96. 2 indexed citations
5.
Hopke, Alex, Felix Ellett, Jason Stajich, et al.. (2021). Crowdsourced analysis of fungal growth and branching on microfluidic platforms. PLoS ONE. 16(9). e0257823–e0257823. 11 indexed citations
6.
Osmani, Aysha H., et al.. (2021). The spindle pole-body localization of activated cytoplasmic dynein is cell cycle-dependent in Aspergillus nidulans. Fungal Genetics and Biology. 148. 103519–103519. 5 indexed citations
7.
8.
9.
Wang, Yong, et al.. (2020). Dynamic assembly of a higher-order septin structure during appressorium morphogenesis by the rice blast fungus. Fungal Genetics and Biology. 140. 103385–103385. 20 indexed citations
10.
Salogiannis, John, Martin J. Egan, & Samara L. Reck‐Peterson. (2016). Peroxisomes move by hitchhiking on early endosomes using the novel linker protein PxdA. The Journal of Cell Biology. 212(3). 289–296. 70 indexed citations
11.
Egan, Martin J., et al.. (2015). Cytoplasmic Dynein Is Required for the Spatial Organization of Protein Aggregates in Filamentous Fungi. Cell Reports. 11(2). 201–209. 17 indexed citations
12.
Tan, Kaeling, et al.. (2014). A microscopy-based screen employing multiplex genome sequencing identifies cargo-specific requirements for dynein velocity. Molecular Biology of the Cell. 25(5). 669–678. 19 indexed citations
13.
Egan, Martin J., Kaeling Tan, & Samara L. Reck‐Peterson. (2012). Lis1 is an initiation factor for dynein-driven organelle transport. The Journal of Cell Biology. 197(7). 971–982. 137 indexed citations
14.
Egan, Martin J., Mark A McClintock, & Samara L. Reck‐Peterson. (2012). Microtubule-based transport in filamentous fungi. Current Opinion in Microbiology. 15(6). 637–645. 68 indexed citations
15.
Jones, Meredith D. M., Irene Forn, Catarina Gadelha, et al.. (2011). Discovery of novel intermediate forms redefines the fungal tree of life. Nature. 474(7350). 200–203. 289 indexed citations
16.
Egan, Martin J. & Nicholas J. Talbot. (2008). Genomes, free radicals and plant cell invasion: recent developments in plant pathogenic fungi. Current Opinion in Plant Biology. 11(4). 367–372. 10 indexed citations
17.
Egan, Martin J., et al.. (2007). Generation of reactive oxygen species by fungal NADPH oxidases is required for rice blast disease. Proceedings of the National Academy of Sciences. 104(28). 11772–11777. 329 indexed citations
18.
Veneault‐Fourrey, Claire, Madhumita Barooah, Martin J. Egan, Gavin E. Wakley, & Nicholas J. Talbot. (2006). Autophagic Fungal Cell Death Is Necessary for Infection by the Rice Blast Fungus. Science. 312(5773). 580–583. 412 indexed citations
19.
Tucker, Sara L., Christopher R. Thornton, Claus Jacob, et al.. (2004). A Fungal Metallothionein Is Required for Pathogenicity of Magnaporthe grisea. The Plant Cell. 16(6). 1575–1588. 76 indexed citations
20.
Kite, Geoffrey C., Elaine A. Porter, Martin J. Egan, & Monique S. J. Simmonds. (1999). Rapid detection of polyhydroxyalkaloid mono- and diglycosides in crude plant extracts by direct quadrupole ion trap mass spectrometry. Phytochemical Analysis. 10(5). 259–263. 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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