James R. Smith

3.4k total citations
112 papers, 2.5k citations indexed

About

James R. Smith is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, James R. Smith has authored 112 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Plant Science, 19 papers in Molecular Biology and 17 papers in Agronomy and Crop Science. Recurrent topics in James R. Smith's work include Soybean genetics and cultivation (51 papers), Legume Nitrogen Fixing Symbiosis (35 papers) and Plant pathogens and resistance mechanisms (18 papers). James R. Smith is often cited by papers focused on Soybean genetics and cultivation (51 papers), Legume Nitrogen Fixing Symbiosis (35 papers) and Plant pathogens and resistance mechanisms (18 papers). James R. Smith collaborates with scholars based in United States, United Kingdom and Puerto Rico. James R. Smith's co-authors include Jeffery D. Ray, Alemu Mengistu, Nacer Bellaloui, Reid D. Frederick, Anne M. Gillen, Felix Fritschi, R Paris, Randall L. Nelson, Larry C. Purcell and Shuxian Li and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

James R. Smith

105 papers receiving 2.3k citations

Peers

James R. Smith
Wilco Ligterink Netherlands
Lina Wang China
Olga Koroleva United Kingdom
N. Richard Knowles United States
James R. Smith
Citations per year, relative to James R. Smith James R. Smith (= 1×) peers Xiangyang Hu

Countries citing papers authored by James R. Smith

Since Specialization
Citations

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

Fields of papers citing papers by James R. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Smith. 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 James R. Smith. The network helps show where James R. Smith may publish in the future.

Co-authorship network of co-authors of James R. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of James R. Smith. A scholar is included among the top collaborators of James R. Smith 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 James R. Smith. James R. Smith 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.
Marney, Luke, Liping Yang, Jaewoo Choi, et al.. (2025). Clustering of chemical profiles of Centella asiatica cultivars, grown in greenhouses, allows grouping of metabolites with similar production trends. Industrial Crops and Products. 231. 121159–121159.
2.
Ray, Jeffery D., et al.. (2024). Identification of QTLs for symbiotic nitrogen fixation and related traits in a soybean recombinant inbred line population. Theoretical and Applied Genetics. 137(4). 89–89. 1 indexed citations
4.
Bellaloui, Nacer, Alemu Mengistu, James R. Smith, et al.. (2023). Soybean Seed Sugars: A Role in the Mechanism of Resistance to Charcoal Rot and Potential Use as Biomarkers in Selection. Plants. 12(2). 392–392. 5 indexed citations
5.
Li, Shuxian, James R. Smith, & Lingxiao Zhang. (2023). Evaluation of exotic soybean accessions and their use in developing improved soybean lines with resistance to Phomopsis seed decay. PLoS ONE. 18(6). e0286519–e0286519. 5 indexed citations
6.
Li, Shuxian & James R. Smith. (2023). Phenotypic Evaluation of Soybean Genotypes for Their Reaction to a Mississippi Isolate of Phakopsora pachyrhizi Causing Soybean Rust. Plants. 12(9). 1797–1797. 2 indexed citations
7.
Smith, James R., et al.. (2020). Integrating earth observations and biodiversity data to predict nature-based across Costa Rica. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
8.
Kaler, Avjinder S., Hussein Abdel‐Haleem, Felix Fritschi, et al.. (2020). Genome-Wide Association Mapping of Dark Green Color Index using a Diverse Panel of Soybean Accessions. Scientific Reports. 10(1). 5166–5166. 17 indexed citations
9.
Gillman, Jason D., Songqing Ye, William G. Spollen, et al.. (2019). A seed germination transcriptomic study contrasting two soybean genotypes that differ in terms of their tolerance to the deleterious impacts of elevated temperatures during seed fill. BMC Research Notes. 12(1). 522–522. 15 indexed citations
10.
Millán, Alba, James R. Smith, Jack L.‐Y. Chen, & Varinder K. Aggarwal. (2016). Tandem Allylboration–Prins Reaction for the Rapid Construction of Substituted Tetrahydropyrans: Application to the Total Synthesis of (−)‐Clavosolide A. Angewandte Chemie International Edition. 55(7). 2498–2502. 32 indexed citations
11.
Millán, Alba, James R. Smith, Jack L.‐Y. Chen, & Varinder K. Aggarwal. (2016). Tandem Allylboration–Prins Reaction for the Rapid Construction of Substituted Tetrahydropyrans: Application to the Total Synthesis of (−)‐Clavosolide A. Angewandte Chemie. 128(7). 2544–2548. 9 indexed citations
12.
Dhanapal, Arun Prabhu, Jeffery D. Ray, Shardendu K. Singh, et al.. (2016). Genome-wide association mapping of soybean chlorophyll traits based on canopy spectral reflectance and leaf extracts. BMC Plant Biology. 16(1). 174–174. 37 indexed citations
13.
Dhanapal, Arun Prabhu, Jeffery D. Ray, Shardendu K. Singh, et al.. (2015). Association Mapping of Total Carotenoids in Diverse Soybean Genotypes Based on Leaf Extracts and High-Throughput Canopy Spectral Reflectance Measurements. PLoS ONE. 10(9). e0137213–e0137213. 18 indexed citations
14.
Mengistu, Alemu, et al.. (2014). Pathogenicity of Diaporthe spp. isolates recovered from soybean ( Glycine max ) seeds in Paraguay. Canadian Journal of Plant Pathology. 36(4). 470–474. 7 indexed citations
15.
Kebede, Hirut, James R. Smith, & Jeffery D. Ray. (2014). Identification of a single gene for seed coat impermeability in soybean PI 594619. Theoretical and Applied Genetics. 127(9). 1991–2003. 17 indexed citations
16.
Bellaloui, Nacer, James R. Smith, Anne M. Gillen, & Jeffery D. Ray. (2010). Effect of Maturity on Seed Sugars as Measured on Near‐Isogenic Soybean (Glycine max) Lines. Crop Science. 50(5). 1978–1987. 35 indexed citations
17.
Mengistu, Alemu, Lisa A. Castlebury, Amy Y. Rossman, James R. Smith, & Krishna N. Reddy. (2007). Isolates of Diaporthe-Phomopsis from weeds and their effect on soybean. Canadian Journal of Plant Pathology. 29(3). 283–289. 23 indexed citations
18.
Mengistu, Alemu, Jeffery D. Ray, James R. Smith, & R Paris. (2007). Charcoal Rot Disease Assessment of Soybean Genotypes Using a Colony‐Forming Unit Index. Crop Science. 47(6). 2453–2461. 102 indexed citations
19.
Simon, Thomas P., et al.. (2006). New Records for the Alien Oriental Weatherfish, Misgurnus anguillicaudatus, in the Lake Michigan Basin, Indiana (Cypriniformes, Cobitidae). Proceedings of the Indiana Academy of Science. 115(1). 32–36. 13 indexed citations
20.
Smith, James R. & S. A. Leong. (1994). Mapping of a Magnaporthe grisea locus affecting rice (Oryza sativa) cultivar specificity. Theoretical and Applied Genetics. 88(8). 901–908. 29 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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