Paul Stodghill

2.4k total citations
63 papers, 1.5k citations indexed

About

Paul Stodghill is a scholar working on Hardware and Architecture, Plant Science and Computer Networks and Communications. According to data from OpenAlex, Paul Stodghill has authored 63 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hardware and Architecture, 25 papers in Plant Science and 24 papers in Computer Networks and Communications. Recurrent topics in Paul Stodghill's work include Parallel Computing and Optimization Techniques (27 papers), Plant Pathogenic Bacteria Studies (24 papers) and Plant-Microbe Interactions and Immunity (20 papers). Paul Stodghill is often cited by papers focused on Parallel Computing and Optimization Techniques (27 papers), Plant Pathogenic Bacteria Studies (24 papers) and Plant-Microbe Interactions and Immunity (20 papers). Paul Stodghill collaborates with scholars based in United States, France and Canada. Paul Stodghill's co-authors include Keshav Pingali, Daniel Marques, Greg Bronevetsky, Kamen Yotov, Melanie J. Filiatrault, Bryan Swingle, Christopher R. Myers, Samuel W. Cartinhour, David Padua and Gang Ren and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Proceedings of the IEEE.

In The Last Decade

Paul Stodghill

60 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paul Stodghill 732 684 415 226 178 63 1.5k
Lonnie R. Welch 372 0.5× 325 0.5× 553 1.3× 725 3.2× 112 0.6× 116 1.5k
Veli Mäkinen 282 0.4× 184 0.3× 235 0.6× 897 4.0× 1.0k 5.8× 78 1.7k
Philip J. Hatcher 325 0.4× 333 0.5× 58 0.1× 231 1.0× 91 0.5× 46 741
J. M. PÉREZ 574 0.8× 561 0.8× 88 0.2× 37 0.2× 45 0.3× 43 1.3k
Simon J. Puglisi 207 0.3× 145 0.2× 111 0.3× 603 2.7× 720 4.0× 84 1.0k
Stephen M. Rumble 428 0.6× 1.4k 2.1× 88 0.2× 308 1.4× 176 1.0× 14 1.9k
Dominique Lavenier 173 0.2× 191 0.3× 133 0.3× 605 2.7× 285 1.6× 66 1.1k
Jeremie S. Kim 419 0.6× 291 0.4× 58 0.1× 238 1.1× 264 1.5× 26 933
Jaeyoung Do 138 0.2× 340 0.5× 56 0.1× 194 0.9× 109 0.6× 26 682
Evangelos Georganas 111 0.2× 128 0.2× 195 0.5× 169 0.7× 172 1.0× 24 555

Countries citing papers authored by Paul Stodghill

Since Specialization
Citations

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

Fields of papers citing papers by Paul Stodghill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Stodghill. 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 Paul Stodghill. The network helps show where Paul Stodghill may publish in the future.

Co-authorship network of co-authors of Paul Stodghill

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Stodghill. A scholar is included among the top collaborators of Paul Stodghill 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 Paul Stodghill. Paul Stodghill 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.
Helmann, Tyler C., Maël Baudin, Karl J. Schreiber, et al.. (2025). Genome-wide identification of novel flagellar motility genes in Pseudomonas syringae pv. tomato DC3000. Frontiers in Microbiology. 16. 1535114–1535114.
2.
Helmann, Tyler C., et al.. (2024). Surviving the Potato Stems: Differences in Genes Required for Fitness by Dickeya dadantii and Dickeya dianthicola. Phytopathology. 114(5). 1106–1117. 2 indexed citations
3.
Stodghill, Paul, et al.. (2024). Analysis of soft rot Pectobacteriaceae population diversity in US potato growing regions between 2015 and 2022. Frontiers in Microbiology. 15. 1403121–1403121. 1 indexed citations
4.
Helmann, Tyler C., et al.. (2023). Genomic insights into a Pseudomonas amygdali isolate from Hibiscus rosa-sinensis. Genomics. 115(3). 110600–110600. 2 indexed citations
5.
Helmann, Tyler C., Melanie J. Filiatrault, & Paul Stodghill. (2022). Genome-Wide Identification of Genes Important for Growth of Dickeya dadantii and Dickeya dianthicola in Potato (Solanum tuberosum) Tubers. Frontiers in Microbiology. 13. 778927–778927. 4 indexed citations
6.
Stodghill, Paul, et al.. (2021). Identification of Pectobacterium versatile Causing Blackleg of Potato in New York State. Plant Disease. 105(9). 2585–2594. 10 indexed citations
7.
Bonasera, Jean M., et al.. (2021). Complete Genome Sequence Resources for the Onion Pathogen, Pantoea ananatis OC5a. Phytopathology. 111(10). 1885–1888. 3 indexed citations
8.
Helmann, Tyler C., et al.. (2020). Complete Genome Sequence Resource for the Necrotrophic Plant-Pathogenic Bacterium Pectobacterium carotovorum WPP14. Plant Disease. 105(1). 196–198. 2 indexed citations
9.
10.
Butcher, Bronwyn G., Zhongmeng Bao, Janet M. Wilson, et al.. (2017). The ECF sigma factor, PSPTO_1043, in Pseudomonas syringae pv. tomato DC3000 is induced by oxidative stress and regulates genes involved in oxidative stress response. PLoS ONE. 12(7). e0180340–e0180340. 3 indexed citations
11.
Wei, Hai‐Lei, Suma Chakravarthy, Johannes Mathieu, et al.. (2015). Pseudomonas syringae pv. tomato DC3000 Type III Secretion Effector Polymutants Reveal an Interplay between HopAD1 and AvrPtoB. Cell Host & Microbe. 17(6). 752–762. 95 indexed citations
12.
Bao, Zhongmeng, Paul Stodghill, Christopher R. Myers, et al.. (2014). Genomic Plasticity Enables Phenotypic Variation of Pseudomonas syringae pv. tomato DC3000. PLoS ONE. 9(2). e86628–e86628. 11 indexed citations
13.
Chakravarthy, Suma, Hai‐Lei Wei, Hoang C.B. Nguyen, et al.. (2014). Global Analysis of the HrpL Regulon in the Plant Pathogen Pseudomonas syringae pv. tomato DC3000 Reveals New Regulon Members with Diverse Functions. PLoS ONE. 9(8). e106115–e106115. 43 indexed citations
14.
Schneider, David J., et al.. (2010). Construction of anrsmXco-variance model and identification of fiversmXnon-coding RNAs inPseudomonas syringae pv. tomatoDC3000. RNA Biology. 7(5). 508–516. 45 indexed citations
15.
Yotov, Kamen, Keshav Pingali, & Paul Stodghill. (2005). Automatic Measurement of Hardware Parameters for Embedded Processors. eCommons (Cornell University).
16.
Chew, Peter, Gerd Heber, Keshav Pingali, et al.. (2003). Computational Science Simulations based on Web Services. 2 indexed citations
17.
Marques, Daniel, et al.. (2003). Collective Operations in an Application-level Fault Tolerant MPI System. 14 indexed citations
18.
Ahmed, Nawaaz, Nikolay Mateev, Keshav Pingali, & Paul Stodghill. (2000). A Framework for Sparse Matrix Code Synthesis from High-level Specifications. Conference on High Performance Computing (Supercomputing). 58–58. 19 indexed citations
19.
Theobald, Kevin B., Gagan Agrawal, Gerd Heber, et al.. (2000). Landing CG on EARTH: A Case Study of Fine-Grained Multithreading on an Evolutionary Path. Conference on High Performance Computing (Supercomputing). 4–4. 10 indexed citations
20.
Kotlyar, Vladimir, Keshav Pingali, & Paul Stodghill. (1997). Compiling Parallel Sparse Code for User-Defined Data Structures.. eCommons (Cornell University). 12 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026