Michael R. Baring

706 total citations
34 papers, 549 citations indexed

About

Michael R. Baring is a scholar working on Plant Science, Inorganic Chemistry and Agronomy and Crop Science. According to data from OpenAlex, Michael R. Baring has authored 34 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 22 papers in Inorganic Chemistry and 3 papers in Agronomy and Crop Science. Recurrent topics in Michael R. Baring's work include Peanut Plant Research Studies (34 papers), Agricultural pest management studies (26 papers) and Coconut Research and Applications (22 papers). Michael R. Baring is often cited by papers focused on Peanut Plant Research Studies (34 papers), Agricultural pest management studies (26 papers) and Coconut Research and Applications (22 papers). Michael R. Baring collaborates with scholars based in United States, India and Vietnam. Michael R. Baring's co-authors include Charles E. Simpson, Mark D. Burow, A. M. Schubert, Yolanda López, H. A. Melouk, Michael Gomez Selvaraj, M. C. Black, Endang M. Septiningsih, Ratan Chopra and Kelly D. Chamberlin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Crop Science.

In The Last Decade

Michael R. Baring

34 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael R. Baring United States 14 528 283 129 20 16 34 549
S. K. Bera India 11 415 0.8× 137 0.5× 79 0.6× 41 2.0× 22 1.4× 54 430
Shijie Wen China 8 317 0.6× 104 0.4× 132 1.0× 31 1.6× 8 0.5× 9 357
Youlin Xia China 7 308 0.6× 138 0.5× 92 0.7× 44 2.2× 5 0.3× 11 337
Issa Faye Senegal 10 475 0.9× 196 0.7× 78 0.6× 20 1.0× 24 1.5× 13 486
A. L. Rathnakumar India 11 340 0.6× 123 0.4× 71 0.6× 12 0.6× 25 1.6× 27 357
Feiyan Qi China 12 340 0.6× 113 0.4× 151 1.2× 19 0.9× 8 0.5× 43 371
Graciela I. Lavia Argentina 12 692 1.3× 282 1.0× 314 2.4× 27 1.4× 19 1.2× 32 721
Radhakrishnan Thankappan India 11 346 0.7× 78 0.3× 146 1.1× 11 0.6× 12 0.8× 13 365
Jentilal R. Dobaria India 11 339 0.6× 90 0.3× 139 1.1× 11 0.6× 6 0.4× 13 353
Weibo Dong United States 8 274 0.5× 112 0.4× 59 0.5× 11 0.6× 14 0.9× 13 289

Countries citing papers authored by Michael R. Baring

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Baring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Baring

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Baring. A scholar is included among the top collaborators of Michael R. Baring 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 Michael R. Baring. Michael R. Baring 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.
Baring, Michael R., et al.. (2020). Identification of QTLs associated with Sclerotinia blight resistance in peanut (Arachis hypogaea L.). Genetic Resources and Crop Evolution. 68(2). 629–637. 11 indexed citations
2.
Chopra, Ratan, Charles E. Simpson, Michael R. Baring, et al.. (2020). Use of Targeted Amplicon Sequencing in Peanut to Generate Allele Information on Allotetraploid Sub-Genomes. Genes. 11(10). 1220–1220. 7 indexed citations
3.
Burow, Mark D., Michael R. Baring, Calvin Trostle, et al.. (2019). Registration of ‘TAMVal OL14’ Peanut. Journal of Plant Registrations. 13(2). 134–138. 7 indexed citations
4.
Chopra, Ratan, et al.. (2016). Advanced Backcross Quantitative Trait Loci (QTL) Analysis of Oil Concentration and Oil Quality Traits in Peanut (Arachis hypogaea L.). Tropical Plant Biology. 10(1). 1–17. 22 indexed citations
5.
Chopra, Ratan, Gloria Burow, Andrew Farmer, et al.. (2015). Next-generation transcriptome sequencing, SNP discovery and validation in four market classes of peanut, Arachis hypogaea L.. Molecular Genetics and Genomics. 290(3). 1169–1180. 33 indexed citations
6.
Woodward, Jason E., Todd A. Baughman, Michael R. Baring, & Charles E. Simpson. (2015). Comparison of Three High-Oleic Peanut Cultivars under Varying Field Conditions in the Southwestern United States. Peanut Science. 42(1). 11–17. 6 indexed citations
7.
Woodward, Jason E., et al.. (2015). Effects of Fungicides, Time of Application, and Application Method on Control of Sclerotinia Blight in Peanut. SHILAP Revista de lepidopterología. 2015. 1–8. 10 indexed citations
8.
Burow, Mark D., Michael R. Baring, Naveen Puppala, et al.. (2014). Registration of ‘Schubert’ Peanut. Journal of Plant Registrations. 8(2). 122–126. 9 indexed citations
9.
Burow, Mark D., et al.. (2014). Registration of ‘Tamrun OL12’ Peanut. Journal of Plant Registrations. 8(2). 117–121. 9 indexed citations
10.
Grichar, W. James, Peter A. Dotray, & Michael R. Baring. (2013). Peanut Cultivar Response to Flumioxazin Applied Preemergence and Imazapic Applied Postemergence. SHILAP Revista de lepidopterología. 2013. 1–5. 4 indexed citations
11.
Baring, Michael R., et al.. (2013). Generation Means Analysis of Fatty Acid Composition in Peanut. Journal of Crop Improvement. 27(4). 430–443. 4 indexed citations
12.
Baring, Michael R., et al.. (2013). Registration of ‘Tamrun OL11’ Peanut. Journal of Plant Registrations. 7(2). 154–158. 22 indexed citations
13.
Baring, Michael R., et al.. (2013). Diallel Anaysis of Oil Production Components in Peanut (Arachis hypogaeaL.). SHILAP Revista de lepidopterología. 2013. 1–5. 4 indexed citations
14.
Simpson, Charles E., et al.. (2013). Registration of ‘Webb’ Peanut. Journal of Plant Registrations. 7(3). 265–268. 28 indexed citations
15.
Baring, Michael R., et al.. (2013). Variability of Total Oil Content in Peanut Across the State of Texas. Journal of Crop Improvement. 27(2). 125–136. 10 indexed citations
16.
Grichar, W. James, et al.. (2010). Peanut Cultivar Response to Fungicide Spray Programs Under Light to Moderate Disease Pressure. Crop Management. 9(1). 1–7. 2 indexed citations
17.
Selvaraj, Michael Gomez, et al.. (2009). Identification of QTLs for pod and kernel traits in cultivated peanut by bulked segregant analysis. Electronic Journal of Biotechnology. 12(2). 3–4. 51 indexed citations
18.
Baring, Michael R., Charles E. Simpson, Mark D. Burow, et al.. (2006). Registration of ‘Tamrun OL07’ Peanut. Crop Science. 46(6). 2721–2722. 33 indexed citations
19.
Baring, Michael R., et al.. (2006). Registration of ‘Tamnut OL06’ Peanut. Crop Science. 46(6). 2720–2721. 22 indexed citations
20.
Simpson, Charles E., et al.. (2003). Registration of ‘OLin’ Peanut. Crop Science. 43(5). 1880–1881. 37 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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