Donald E. Obert

493 total citations
8 papers, 296 citations indexed

About

Donald E. Obert is a scholar working on Plant Science, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Donald E. Obert has authored 8 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Genetics and 2 papers in Nutrition and Dietetics. Recurrent topics in Donald E. Obert's work include Wheat and Barley Genetics and Pathology (7 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genetics and Plant Breeding (3 papers). Donald E. Obert is often cited by papers focused on Wheat and Barley Genetics and Pathology (7 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genetics and Plant Breeding (3 papers). Donald E. Obert collaborates with scholars based in United States, France and Czechia. Donald E. Obert's co-authors include Shiaoman Chao, S. E. Ullrich, Kevin P. Smith, Richard D. Horsley, Patrick M. Hayes, Rebekah E. Oliver, Eric W. Jackson, Juliet M. Marshall, Allen D. Budde and Emir Islamovic and has published in prestigious journals such as PLoS ONE, Theoretical and Applied Genetics and Field Crops Research.

In The Last Decade

Donald E. Obert

8 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donald E. Obert United States	7	277	147	43	42	19	8	296
Gonghao Jiang China	10	297 1.1×	220 1.5×	66 1.5×	33 0.8×	8 0.4×	15	346
Dongao Huo China	8	245 0.9×	151 1.0×	38 0.9×	70 1.7×	28 1.5×	17	299
Changjie Yan China	9	337 1.2×	183 1.2×	48 1.1×	105 2.5×	10 0.5×	10	371
Yingbao Wu China	7	339 1.2×	88 0.6×	16 0.4×	143 3.4×	12 0.6×	11	375
Yingni Xiao China	7	128 0.5×	63 0.4×	22 0.5×	29 0.7×	26 1.4×	11	161
Gulab Chand India	10	168 0.6×	59 0.4×	49 1.1×	59 1.4×	19 1.0×	34	233
Shichen Han China	8	239 0.9×	36 0.2×	27 0.6×	97 2.3×	21 1.1×	13	270
Kimberly S. Ponce China	9	364 1.3×	156 1.1×	60 1.4×	34 0.8×	16 0.8×	10	382
K. Gangadhara India	8	171 0.6×	63 0.4×	15 0.3×	26 0.6×	19 1.0×	43	227
Franco G. Asoro United States	4	306 1.1×	234 1.6×	30 0.7×	13 0.3×	18 0.9×	5	331

Countries citing papers authored by Donald E. Obert

Since Specialization

Citations

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

Fields of papers citing papers by Donald E. Obert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald E. Obert. 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 Donald E. Obert. The network helps show where Donald E. Obert may publish in the future.

Co-authorship network of co-authors of Donald E. Obert

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

All Works

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8 of 8 papers shown

Mohammadi, Mohsen, T. K. Blake, Allen D. Budde, et al.. (2015). A genome-wide association study of malting quality across eight U.S. barley breeding programs. Theoretical and Applied Genetics. 128(4). 705–721. 56 indexed citations

Oliver, Rebekah E., Emir Islamovic, Donald E. Obert, et al.. (2014). Comparative Systems Biology Reveals Allelic Variation Modulating Tocochromanol Profiles in Barley (Hordeum vulgare L.). PLoS ONE. 9(5). e96276–e96276. 9 indexed citations

Islamovic, Emir, Donald E. Obert, Allen D. Budde, et al.. (2014). Quantitative trait loci of barley malting quality trait components in the Stellar/01Ab8219 mapping population. Molecular Breeding. 34(1). 59–73. 12 indexed citations

Islamovic, Emir, Donald E. Obert, Rebekah E. Oliver, et al.. (2013). A new genetic linkage map of barley (Hordeum vulgare L.) facilitates genetic dissection of height and spike length and angle. Field Crops Research. 154. 91–99. 14 indexed citations

Islamovic, Emir, Donald E. Obert, Rebekah E. Oliver, et al.. (2012). Genetic dissection of grain beta-glucan and amylose content in barley (Hordeum vulgare L.). Molecular Breeding. 31(1). 15–25. 37 indexed citations

Oliver, Rebekah E., Gerard R. Lazo, Marc Rubenfield, et al.. (2011). Model SNP development for complex genomes based on hexaploid oat using high-throughput 454 sequencing technology. BMC Genomics. 12(1). 77–77. 68 indexed citations

Hamblin, Martha T., Timothy J. Close, Prasanna R. Bhat, et al.. (2010). Population Structure and Linkage Disequilibrium in U.S. Barley Germplasm: Implications for Association Mapping. Crop Science. 50(2). 556–566. 96 indexed citations

Bregitzer, Phil, Victor Raboy, & Donald E. Obert. (2010). Registration of LP1–2581, LP1–2163H, LP3–1159, and LP640–1304 Low‐Phytate Spring Barley Germplasm Lines. Journal of Plant Registrations. 4(3). 228–231. 4 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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