Allison Creason

1.9k total citations
16 papers, 413 citations indexed

About

Allison Creason is a scholar working on Plant Science, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Allison Creason has authored 16 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 6 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Allison Creason's work include Legume Nitrogen Fixing Symbiosis (8 papers), Plant Pathogenic Bacteria Studies (7 papers) and Plant-Microbe Interactions and Immunity (7 papers). Allison Creason is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (8 papers), Plant Pathogenic Bacteria Studies (7 papers) and Plant-Microbe Interactions and Immunity (7 papers). Allison Creason collaborates with scholars based in United States, Canada and Belgium. Allison Creason's co-authors include Jeff H. Chang, Darrell Desveaux, Jeffrey A. Kimbrel, William J. Thomas, M. L. Putnam, Elizabeth A. Savory, Scott A. Givan, Yuan Jiang, Joel L. Sachs and Caitlin A. Thireault and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Cancer Research.

In The Last Decade

Allison Creason

15 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allison Creason United States 10 311 125 41 35 29 16 413
Chen Zhu China 10 476 1.5× 268 2.1× 17 0.4× 13 0.4× 13 0.4× 28 629
Sheetal Ambardar India 9 125 0.4× 127 1.0× 29 0.7× 19 0.5× 7 0.2× 13 314
Marie‐Josée Bergeron Canada 10 84 0.3× 104 0.8× 48 1.2× 70 2.0× 11 0.4× 16 222
Feng Tang China 8 174 0.6× 139 1.1× 30 0.7× 10 0.3× 20 0.7× 16 284
Ainhoa Genovés Spain 10 269 0.9× 123 1.0× 31 0.8× 16 0.5× 58 2.0× 11 380
Muzna Zahur Pakistan 11 205 0.7× 202 1.6× 10 0.2× 18 0.5× 19 0.7× 21 393
Marijn Knip Netherlands 8 326 1.0× 286 2.3× 13 0.3× 17 0.5× 24 0.8× 8 431
Katja Stare Slovenia 10 390 1.3× 112 0.9× 19 0.5× 10 0.3× 43 1.5× 18 509
Artur Romanchuk United States 6 303 1.0× 102 0.8× 36 0.9× 76 2.2× 21 0.7× 11 422
Amalendu Ghosh India 16 383 1.2× 240 1.9× 11 0.3× 6 0.2× 33 1.1× 67 645

Countries citing papers authored by Allison Creason

Since Specialization
Citations

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

Fields of papers citing papers by Allison Creason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allison Creason

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

All Works

16 of 16 papers shown
1.
Creason, Allison, Stuart S. Levine, Michael S. Noble, et al.. (2025). Balancing ethical data sharing and open science for reproducible research in biomedical data science. Cell Reports Medicine. 6(4). 102080–102080. 1 indexed citations
2.
Creason, Allison, et al.. (2025). COEXIST: Coordinated single-cell integration of serial multiplexed tissue images. PLoS Computational Biology. 21(8). e1013325–e1013325.
3.
Stommel, Jayne M., Jamie M. Keck, David Kilburn, et al.. (2024). Exceptional Response to Trastuzumab Deruxtecan in a Patient With Recurrent Ovarian Clear Cell Carcinoma With Human Epidermal Growth Factor Receptor 2 Expression. JCO Precision Oncology. 8(8). e2300686–e2300686. 1 indexed citations
4.
Mitri, Zahi, Allison Creason, Jayne M. Stommel, et al.. (2024). Abstract CT203: Multi-omic analysis of serial biopsies to inform biomarkers of sensitivity to olaparib and durvalumab in patients with metastatic BRCA-wildtype triple negative breast cancer (mTNBC). Cancer Research. 84(7_Supplement). CT203–CT203. 1 indexed citations
5.
Mitri, Zahi, Shaun M. Goodyear, Jeong Youn Lim, et al.. (2022). Abstract 2149: Biomarker-driven selection of polyADP ribose polymerase inhibitors (PARPi)-based combination therapies in patients with metastatic triple negative breast cancer (mTNBC). Cancer Research. 82(12_Supplement). 2149–2149. 2 indexed citations
6.
Li, Allen, Jamie M. Keck, Swapnil Parmar, et al.. (2021). Characterizing advanced breast cancer heterogeneity and treatment resistance through serial biopsies and comprehensive analytics. npj Precision Oncology. 5(1). 28–28. 23 indexed citations
7.
Gu, Qiang, Anup Kumar, Simon Bray, et al.. (2021). Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine. PLoS Computational Biology. 17(6). e1009014–e1009014. 9 indexed citations
8.
Savory, Elizabeth A., et al.. (2020). Phytopathogenic Rhodococcus Have Diverse Plasmids With Few Conserved Virulence Functions. Frontiers in Microbiology. 11. 1022–1022. 14 indexed citations
9.
Savory, Elizabeth A., Alexandra J. Weisberg, William J. Thomas, et al.. (2017). Evolutionary transitions between beneficial and phytopathogenic Rhodococcus challenge disease management. eLife. 6. 56 indexed citations
10.
Shimono, Masaki, Yi‐Ju Lu, Katie J. Porter, et al.. (2016). The Pseudomonas syringae Type III Effector HopG1 Induces Actin Remodeling to Promote Symptom Development and Susceptibility during Infection. PLANT PHYSIOLOGY. 171(3). 2239–2255. 51 indexed citations
11.
Araújo, Welington Luiz, et al.. (2016). Genome Sequencing and Transposon Mutagenesis of Burkholderia seminalis TC3.4.2R3 Identify Genes Contributing to Suppression of Orchid Necrosis Caused by B. gladioli. Molecular Plant-Microbe Interactions. 29(6). 435–446. 13 indexed citations
12.
Creason, Allison, Edward W. Davis, M. L. Putnam, Olivier M. Vandeputte, & Jeff H. Chang. (2014). Use of whole genome sequences to develop a molecular phylogenetic framework for Rhodococcus fascians and the Rhodococcus genus. Frontiers in Plant Science. 5. 406–406. 24 indexed citations
13.
Creason, Allison, Olivier M. Vandeputte, Elizabeth A. Savory, et al.. (2014). Analysis of Genome Sequences from Plant Pathogenic Rhodococcus Reveals Genetic Novelties in Virulence Loci. PLoS ONE. 9(7). e101996–e101996. 36 indexed citations
14.
Chang, Jeff H., Darrell Desveaux, & Allison Creason. (2014). The ABCs and 123s of Bacterial Secretion Systems in Plant Pathogenesis. Annual Review of Phytopathology. 52(1). 317–345. 77 indexed citations
15.
Kimbrel, Jeffrey A., William J. Thomas, Yuan Jiang, et al.. (2013). Mutualistic Co-evolution of Type III Effector Genes in Sinorhizobium fredii and Bradyrhizobium japonicum. PLoS Pathogens. 9(2). e1003204–e1003204. 56 indexed citations
16.
Kimbrel, Jeffrey A., Scott A. Givan, Anne Halgren, et al.. (2010). An improved, high-quality draft genome sequence of the Germination-Arrest Factor-producing Pseudomonas fluorescens WH6. BMC Genomics. 11(1). 522–522. 49 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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