Kelly D. Chamberlin

487 total citations
35 papers, 356 citations indexed

About

Kelly D. Chamberlin is a scholar working on Plant Science, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, Kelly D. Chamberlin has authored 35 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 19 papers in Inorganic Chemistry and 5 papers in Molecular Biology. Recurrent topics in Kelly D. Chamberlin's work include Peanut Plant Research Studies (35 papers), Agricultural pest management studies (22 papers) and Coconut Research and Applications (19 papers). Kelly D. Chamberlin is often cited by papers focused on Peanut Plant Research Studies (35 papers), Agricultural pest management studies (22 papers) and Coconut Research and Applications (19 papers). Kelly D. Chamberlin collaborates with scholars based in United States, Vietnam and Argentina. Kelly D. Chamberlin's co-authors include Rebecca S. Bennett, H. A. Melouk, J. P. Damicone, Mark E. Payton, Noelle A. Barkley, Roy N. Pittman, Ming Li Wang, Hongbo Yuan, Ning Wang and Mark D. Burow and has published in prestigious journals such as Frontiers in Plant Science, Crop Science and Plant Disease.

In The Last Decade

Kelly D. Chamberlin

32 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kelly D. Chamberlin United States 12 317 144 88 29 20 35 356
A. L. Rathnakumar India 11 340 1.1× 123 0.9× 71 0.8× 4 0.1× 12 0.6× 27 357
Chatree Saensuk Thailand 9 246 0.8× 32 0.2× 55 0.6× 11 0.4× 81 4.0× 15 282
Guojun Mu China 11 185 0.6× 52 0.4× 117 1.3× 8 0.3× 18 0.9× 19 253
H. L. Nadaf India 11 531 1.7× 216 1.5× 155 1.8× 3 0.1× 26 1.3× 56 565
Elizabeth G. Kurth United States 8 169 0.5× 15 0.1× 181 2.1× 29 1.0× 8 0.4× 9 314
S. K. Bera India 11 415 1.3× 137 1.0× 79 0.9× 2 0.1× 41 2.0× 54 430
Hongxing Cao China 10 148 0.5× 34 0.2× 143 1.6× 86 3.0× 5 0.3× 33 264
Zhanji Liu China 11 261 0.8× 10 0.1× 181 2.1× 12 0.4× 28 1.4× 22 345
K. Kiranmai India 11 293 0.9× 20 0.1× 159 1.8× 5 0.2× 12 0.6× 14 322

Countries citing papers authored by Kelly D. Chamberlin

Since Specialization
Citations

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

Fields of papers citing papers by Kelly D. Chamberlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelly D. Chamberlin. 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 Kelly D. Chamberlin. The network helps show where Kelly D. Chamberlin may publish in the future.

Co-authorship network of co-authors of Kelly D. Chamberlin

This figure shows the co-authorship network connecting the top 25 collaborators of Kelly D. Chamberlin. A scholar is included among the top collaborators of Kelly D. Chamberlin 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 Kelly D. Chamberlin. Kelly D. Chamberlin 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
2.
Chamberlin, Kelly D., et al.. (2025). Breeding for Sclerotinia Blight Resistance on Peanut in the U.S.: A Review. Agronomy. 15(3). 549–549.
3.
Trabelsi, Samir, et al.. (2024). Utilization of a Resonant Cavity for Characterization of Single In-Shell Peanuts. Food Analytical Methods. 17(6). 855–866. 1 indexed citations
4.
Chamberlin, Kelly D., Rebecca S. Bennett, C. Corley Holbrook, et al.. (2024). Discovery of a resistance gene cluster associated with smut resistance in peanut. Peanut Science. 51(1). 59–65.
5.
Cazenave, A., Mark D. Burow, Rebecca S. Bennett, et al.. (2022). Evaluation of the U.S. Peanut Germplasm Mini-Core Collection in the Virginia-Carolina Region Using Traditional and New High-Throughput Methods. Agronomy. 12(8). 1945–1945. 11 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.
Chamberlin, Kelly D., Timothy L. Grey, Naveen Puppala, et al.. (2021). Comparison of Field Emergence and Thermal Gradient Table Germination Rates of Seed from High Oleic and Low Oleic Near Isogenic Peanut Lines. Peanut Science. 48(2). 131–143. 2 indexed citations
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.
Bennett, Rebecca S. & Kelly D. Chamberlin. (2020). Resistance to Athelia rolfsii and Web Blotch in the U.S. Mini-core Collection. Peanut Science. 47(1). 17–24. 6 indexed citations
10.
Chamberlin, Kelly D., Rebecca S. Bennett, & J. P. Damicone. (2019). Registration of ‘Contender’ Peanut. Journal of Plant Registrations. 13(2). 139–142. 1 indexed citations
11.
Yuan, Hongbo, Rebecca S. Bennett, Ning Wang, & Kelly D. Chamberlin. (2019). Development of a Peanut Canopy Measurement System Using a Ground-Based LiDAR Sensor. Frontiers in Plant Science. 10. 203–203. 33 indexed citations
12.
Yuan, Hongbo, et al.. (2018). Development of a Ground-Based Peanut Canopy Phenotyping System. IFAC-PapersOnLine. 51(17). 162–165. 8 indexed citations
13.
Bennett, Rebecca S., Kelly D. Chamberlin, & J. P. Damicone. (2018). Sclerotinia Blight Resistance in the US Peanut Mini‐Core Collection. Crop Science. 58(3). 1306–1317. 14 indexed citations
14.
Chamberlin, Kelly D., Rebecca S. Bennett, & J. P. Damicone. (2017). Registration of ‘Lariat’ Peanut. Journal of Plant Registrations. 12(1). 36–42. 7 indexed citations
15.
Bennett, Rebecca S., Ronald D. Hatfield, Mark E. Payton, & Kelly D. Chamberlin. (2017). Lignin Content and Resistance to Sclerotinia minor in Peanut. Peanut Science. 44(1). 35–41. 3 indexed citations
16.
Chamberlin, Kelly D., et al.. (2015). Registration of ‘OLé’ Peanut. Journal of Plant Registrations. 9(2). 154–158. 17 indexed citations
17.
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
18.
Chamberlin, Kelly D., H. A. Melouk, Robin D. Madden, et al.. (2011). Determining the Oleic/linoleic Acid Ratio in a Single Peanut Seed: a Comparison of Two Methods. Peanut Science. 38(2). 78–84. 19 indexed citations
19.
Barkley, Noelle A., Kelly D. Chamberlin, Ming Li Wang, & Roy N. Pittman. (2011). Genotyping and Fatty Acid Composition Analysis in Segregating Peanut (Arachis hypogaea L.) Populations. Peanut Science. 38(1). 11–19. 9 indexed citations
20.
Damicone, J. P., C. Corley Holbrook, Damon L. Smith, H. A. Melouk, & Kelly D. Chamberlin. (2010). Reaction of the Core Collection of Peanut Germplasm to Sclerotinia Blight and Pepper Spot1. Peanut Science. 37(1). 1–11. 19 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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