James H. Oard

3.1k total citations
68 papers, 2.3k citations indexed

About

James H. Oard is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, James H. Oard has authored 68 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Plant Science, 26 papers in Molecular Biology and 17 papers in Genetics. Recurrent topics in James H. Oard's work include Rice Cultivation and Yield Improvement (24 papers), Plant Disease Resistance and Genetics (23 papers) and Plant tissue culture and regeneration (18 papers). James H. Oard is often cited by papers focused on Rice Cultivation and Yield Improvement (24 papers), Plant Disease Resistance and Genetics (23 papers) and Plant tissue culture and regeneration (18 papers). James H. Oard collaborates with scholars based in United States, China and Colombia. James H. Oard's co-authors include Shannon R. M. Pinson, S. D. Linscombe, Joe Tohmé, Christine J. Bergman, César Martínez, Carles Castaño, David F. Paige, Jianlin Wang, Jun Wang and M. C. Rush and has published in prestigious journals such as PLoS ONE, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

James H. Oard

68 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James H. Oard United States	25	2.0k	808	654	237	105	68	2.3k
Alain Ghesquière France	32	2.4k 1.2×	728 0.9×	700 1.1×	113 0.5×	98 0.9×	64	2.6k
B Burr United States	19	1.9k 1.0×	1.4k 1.7×	579 0.9×	139 0.6×	100 1.0×	24	2.5k
Julapark Chunwongse Thailand	15	2.8k 1.4×	939 1.2×	814 1.2×	94 0.4×	55 0.5×	34	3.2k
Jingjuan Yu China	26	1.5k 0.7×	1.0k 1.3×	213 0.3×	96 0.4×	78 0.7×	73	1.8k
Nabila Yahiaoui France	31	2.8k 1.4×	1.0k 1.2×	282 0.4×	152 0.6×	25 0.2×	53	3.2k
Arnis Druka United Kingdom	27	2.5k 1.2×	947 1.2×	755 1.2×	44 0.2×	66 0.6×	48	2.7k
Ksenia V. Krasileva United States	27	3.0k 1.5×	844 1.0×	333 0.5×	141 0.6×	41 0.4×	45	3.3k
Jean‐Benoît Morel France	22	2.6k 1.3×	1.4k 1.7×	251 0.4×	183 0.8×	143 1.4×	27	2.9k
Hiroyuki Kanzaki Japan	21	3.1k 1.6×	1.4k 1.7×	601 0.9×	118 0.5×	38 0.4×	26	3.5k
Aiko Uemura Japan	17	2.0k 1.0×	842 1.0×	738 1.1×	43 0.2×	42 0.4×	24	2.4k

Countries citing papers authored by James H. Oard

Since Specialization

Citations

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

Fields of papers citing papers by James H. Oard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James H. Oard

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

All Works

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20 of 20 papers shown

Al-Bader, Noor, et al.. (2023). Loss of a Premature Stop Codon in the Rice Wall-Associated Kinase 91 (WAK91) Gene Is a Candidate for Improving Leaf Sheath Blight Disease Resistance. Genes. 14(9). 1673–1673. 5 indexed citations

Linscombe, S. D., et al.. (2019). Inheritance of Provisia™ rice resistance to quizalofop-p-ethyl under laboratory and greenhouse environments. Euphytica. 215(4). 14 indexed citations

Duitama, Jorge, Alexander Silva, Daniel Felipe Cruz, et al.. (2015). Whole Genome Sequencing of Elite Rice Cultivars as a Comprehensive Information Resource for Marker Assisted Selection. PLoS ONE. 10(4). e0124617–e0124617. 53 indexed citations

Oard, James H., et al.. (2015). Morphological and genetic survey of Giant Salvinia populations in Louisiana and Texas. Aquatic Botany. 127. 20–25. 6 indexed citations

Manosalva, Patricia, Jillian M. Lang, Marietta Baraoidan, et al.. (2014). Rice phenylalanine ammonia-lyase gene OsPAL4 is associated with broad spectrum disease resistance. Plant Molecular Biology. 87(3). 273–286. 166 indexed citations

Oard, James H., et al.. (2014). Registration of ‘CL261’ Rice. Journal of Plant Registrations. 8(2). 131–134. 4 indexed citations

Oard, James H., et al.. (2014). Registration of ‘Mermentau’ Rice. Journal of Plant Registrations. 8(2). 135–138. 10 indexed citations

Sha, X., S. D. Linscombe, D. E. Groth, et al.. (2012). Registration of ‘Jazzman‐2’ Aromatic Long‐Grain Rice. Journal of Plant Registrations. 7(1). 26–30. 5 indexed citations

Nelson, James C., Anna M. McClung, Robert G. Fjellstrom, et al.. (2010). Mapping QTL main and interaction influences on milling quality in elite US rice germplasm. Theoretical and Applied Genetics. 122(2). 291–309. 45 indexed citations

10.

Oard, James H., et al.. (2010). Association mapping of grain quality and flowering time in elite japonica rice germplasm. Journal of Cereal Science. 51(3). 337–343. 33 indexed citations

11.

Zhang, Weiqiang, et al.. (2008). Development and application of allele-specific PCR assays for imazethapyr resistance in rice (Oryza sativa). Euphytica. 160(3). 431–438. 13 indexed citations

12.

Lee, Joohyun, Terry Bricker, Michael Lefevre, Shannon R. M. Pinson, & James H. Oard. (2006). Proteomic and genetic approaches to identifying defence‐related proteins in rice challenged with the fungal pathogen Rhizoctonia solani. Molecular Plant Pathology. 7(5). 405–416. 84 indexed citations

13.

Fjellstrom, Robert G., et al.. (2006). Alternative ecotilling protocol for rapid, cost-effective single-nucleotide polymorphism discovery and genotyping in rice (Oryza sativa L.). Plant Molecular Biology Reporter. 24(1). 3–22. 22 indexed citations

14.

Xu, Yunbi, et al.. (2005). Identification of candidate markers associated with agronomic traits in rice using discriminant analysis. Theoretical and Applied Genetics. 110(4). 721–729. 42 indexed citations

15.

LaBonte, Don R., et al.. (2005). Molecular marker variability for southern root-knot nematode resistance in sweetpotato. Euphytica. 144(1-2). 125–132. 23 indexed citations

16.

Rush, M. C., et al.. (2004). Characterization of antimicrobial peptides against a US strain of the rice pathogen Rhizoctonia solani. Journal of Applied Microbiology. 97(1). 169–180. 39 indexed citations

17.

Wang, Jun & James H. Oard. (2003). Rice ubiquitin promoters: deletion analysis and potential usefulness in plant transformation systems. Plant Cell Reports. 22(2). 129–134. 61 indexed citations

18.

Oard, James H.. (1991). Physical methods for the transformation of plant cells. Biotechnology Advances. 9(1). 1–11. 11 indexed citations

19.

Oard, James H., David F. Paige, John Simmonds, & Thomas M. Gradziel. (1990). Transient Gene Expression in Maize, Rice, and Wheat Cells Using an Airgun Apparatus. PLANT PHYSIOLOGY. 92(2). 334–339. 69 indexed citations

20.

Oard, James H., David F. Paige, & Jan Dvořák. (1989). Chimeric gene expression using maize intron in cultured cells of breadwheat. Plant Cell Reports. 8(3). 156–160. 43 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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