Michelle A. Graham

6.2k total citations · 2 hit papers
71 papers, 4.6k citations indexed

About

Michelle A. Graham is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Michelle A. Graham has authored 71 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Plant Science, 21 papers in Molecular Biology and 4 papers in Agronomy and Crop Science. Recurrent topics in Michelle A. Graham's work include Legume Nitrogen Fixing Symbiosis (37 papers), Soybean genetics and cultivation (24 papers) and Plant Micronutrient Interactions and Effects (17 papers). Michelle A. Graham is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (37 papers), Soybean genetics and cultivation (24 papers) and Plant Micronutrient Interactions and Effects (17 papers). Michelle A. Graham collaborates with scholars based in United States, Australia and Mexico. Michelle A. Graham's co-authors include Elizabeth A. Bernays, Kathryn A. VandenBosch, Kevin A.T. Silverstein, Randy C. Shoemaker, Steven B. Cannon, Carroll P. Vance, Steven A. Whitham, Rex T. Nelson, Christopher D. Town and Hank Wu and has published in prestigious journals such as Nucleic Acids Research, Ecology and PLANT PHYSIOLOGY.

In The Last Decade

Michelle A. Graham

71 papers receiving 4.5k citations

Hit Papers

On the Evolution of Host Specificity in Phytophagous Arth... 1988 2026 2000 2013 1988 2010 250 500 750

Peers

Michelle A. Graham
Tina Kyndt Belgium
M. Brian Traw United States
Ian T. Major United States
J.A. van Pelt Netherlands
Scot H. Hulbert United States
Imke Schmitt Germany
Keyan Zhu‐Salzman United States
Michelle A. Graham
Citations per year, relative to Michelle A. Graham Michelle A. Graham (= 1×) peers E. Tapio Palva

Countries citing papers authored by Michelle A. Graham

Since Specialization
Citations

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

Fields of papers citing papers by Michelle A. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle A. Graham. 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 Michelle A. Graham. The network helps show where Michelle A. Graham may publish in the future.

Co-authorship network of co-authors of Michelle A. Graham

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle A. Graham. A scholar is included among the top collaborators of Michelle A. Graham 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 Michelle A. Graham. Michelle A. Graham 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.
Bredow, Melissa, et al.. (2025). Elevated CO2 alters soybean physiology and defense responses, and has disparate effects on susceptibility to diverse microbial pathogens. New Phytologist. 246(6). 2718–2737. 5 indexed citations
2.
O’Rourke, Jamie A., et al.. (2024). RNA-seq of grafted near-isogenic soybean (Glycine max) lines reveals root genotype drives shoot responses to iron deficiency chlorosis. Plant Stress. 15. 100717–100717. 1 indexed citations
3.
O’Rourke, Jamie A., et al.. (2024). GmGLU1 and GmRR4 contribute to iron deficiency tolerance in soybean. Frontiers in Plant Science. 15. 1295952–1295952. 2 indexed citations
4.
Lee, Sung-Woo, et al.. (2022). Identification of Candidate Genes for a Major Quantitative Disease Resistance Locus From Soybean PI 427105B for Resistance to Phytophthora sojae. Frontiers in Plant Science. 13. 893652–893652. 4 indexed citations
5.
Graham, Michelle A., et al.. (2022). Dissection of canopy layer-specific genetic control of leaf angle in Sorghum bicolor by RNA sequencing. BMC Genomics. 23(1). 95–95. 10 indexed citations
6.
Chamberlin, Kelly D., Peggy Ozias‐Akins, Michelle A. Graham, et al.. (2021). Genome-wide approaches delineate the additive, epistatic, and pleiotropic nature of variants controlling fatty acid composition in peanut ( Arachis hypogaea L.). G3 Genes Genomes Genetics. 12(1). 9 indexed citations
7.
8.
Chamberlin, Kelly D., Peggy Ozias‐Akins, Ye Chu, et al.. (2020). Genotypic Characterization of the U.S. Peanut Core Collection. G3 Genes Genomes Genetics. 10(11). 4013–4026. 22 indexed citations
9.
Assefa, Teshale, Jiaoping Zhang, R. Chowda-Reddy, et al.. (2020). Deconstructing the genetic architecture of iron deficiency chlorosis in soybean using genome-wide approaches. BMC Plant Biology. 20(1). 42–42. 35 indexed citations
10.
O’Rourke, Jamie A., et al.. (2019). Dynamic gene expression changes in response to micronutrient, macronutrient, and multiple stress exposures in soybean. Functional & Integrative Genomics. 20(3). 321–341. 19 indexed citations
11.
Belamkar, Vikas, Nathan T. Weeks, Arvind K. Bharti, et al.. (2014). Comprehensive characterization and RNA-Seq profiling of the HD-Zip transcription factor family in soybean (Glycine max) during dehydration and salt stress. BMC Genomics. 15(1). 950–950. 107 indexed citations
12.
13.
O’Rourke, Jamie A., L. Iñiguez, Bruna Bucciarelli, et al.. (2013). A re-sequencing based assessment of genomic heterogeneity and fast neutron-induced deletions in a common bean cultivar. Frontiers in Plant Science. 4. 210–210. 12 indexed citations
14.
Link, Tobias I., Patrick Lang, Brian E. Scheffler, et al.. (2013). The haustorial transcriptomes of U romyces appendiculatus and P hakopsora pachyrhizi and their candidate effector families. Molecular Plant Pathology. 15(4). 379–393. 60 indexed citations
15.
Van, Kyujung, Dong Hyun Kim, M. Y. Kim, et al.. (2008). Sequence Level Analysis of Recently Duplicated Regions in Soybean [Glycine max (L.) Merr.] Genome. DNA Research. 15(2). 93–102. 28 indexed citations
16.
Silverstein, Kevin A.T., William A. Moskal, Hank Wu, et al.. (2007). Small cysteine‐rich peptides resembling antimicrobial peptides have been under‐predicted in plants. The Plant Journal. 51(2). 262–280. 369 indexed citations
17.
O’Rourke, Jamie A., Dirk V. Charlson, Delkin O. Gonzalez, et al.. (2007). Microarray analysis of iron deficiency chlorosis in near-isogenic soybean lines. BMC Genomics. 8(1). 476–476. 62 indexed citations
18.
Silverstein, Kevin A.T., Michelle A. Graham, & Kathryn A. VandenBosch. (2006). Novel paralogous gene families with potential function in legume nodules and seeds. Current Opinion in Plant Biology. 9(2). 142–146. 24 indexed citations
19.
Graham, Michelle A., et al.. (2005). Defensin gene family in Medicago truncatula: structure, expression and induction by signal molecules. Plant Molecular Biology. 58(3). 385–399. 74 indexed citations
20.
Kok, Luit J. De & Michelle A. Graham. (1989). Levels of pigments soluble proteins amino acids and sulfhydryl compounds in foliar tissue of arabidopsis thaliana during dark induced and natural senescence. Plant Physiology and Biochemistry. 27(2). 203–209. 46 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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