Kevin L. Childs

13.3k total citations · 1 hit paper
85 papers, 5.8k citations indexed

About

Kevin L. Childs is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Kevin L. Childs has authored 85 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Plant Science, 43 papers in Molecular Biology and 19 papers in Genetics. Recurrent topics in Kevin L. Childs's work include Genomics and Phylogenetic Studies (20 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Plant Disease Resistance and Genetics (15 papers). Kevin L. Childs is often cited by papers focused on Genomics and Phylogenetic Studies (20 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Plant Disease Resistance and Genetics (15 papers). Kevin L. Childs collaborates with scholars based in United States, United Kingdom and Germany. Kevin L. Childs's co-authors include C. Robin Buell, Haining Lin, John P. Hamilton, Shawn M. Kaeppler, Natalia de León, Rajandeep S. Sekhon, John E. Mullet, Page W. Morgan, Brian J. Haas and Matthew A. Campbell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kevin L. Childs

83 papers receiving 5.7k citations

Hit Papers

The TIGR Rice Genome Anno... 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin L. Childs United States 37 4.0k 3.1k 1.1k 418 370 85 5.8k
Xuewen Wang China 31 4.8k 1.2× 4.3k 1.4× 844 0.8× 407 1.0× 186 0.5× 105 7.2k
Hui Guo China 27 4.3k 1.1× 4.0k 1.3× 1.0k 0.9× 393 0.9× 195 0.5× 80 7.0k
Jitendra P. Khurana India 43 6.0k 1.5× 4.9k 1.6× 757 0.7× 363 0.9× 200 0.5× 171 8.0k
Michel Zivy France 43 4.2k 1.1× 3.7k 1.2× 518 0.5× 173 0.4× 231 0.6× 138 6.6k
Stéphane Rombauts Belgium 42 4.4k 1.1× 4.4k 1.4× 463 0.4× 347 0.8× 260 0.7× 84 6.8k
Richard D. Hayes United States 9 3.1k 0.8× 2.8k 0.9× 496 0.4× 268 0.6× 196 0.5× 18 4.7k
Akio Miyao Japan 49 8.3k 2.1× 4.6k 1.5× 1.0k 0.9× 417 1.0× 205 0.6× 102 9.4k
Martin Trick United Kingdom 37 4.2k 1.0× 3.4k 1.1× 1.0k 0.9× 356 0.9× 235 0.6× 66 5.5k
Xiyin Wang China 35 4.3k 1.1× 3.9k 1.3× 1.1k 1.0× 606 1.4× 166 0.4× 91 6.0k
Stephen J. Powers United Kingdom 46 5.5k 1.4× 2.5k 0.8× 373 0.3× 487 1.2× 524 1.4× 138 7.1k

Countries citing papers authored by Kevin L. Childs

Since Specialization
Citations

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

Fields of papers citing papers by Kevin L. Childs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin L. Childs. 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 Kevin L. Childs. The network helps show where Kevin L. Childs may publish in the future.

Co-authorship network of co-authors of Kevin L. Childs

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin L. Childs. A scholar is included among the top collaborators of Kevin L. Childs 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 Kevin L. Childs. Kevin L. Childs 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.
Childs, Kevin L., Kenneth V. Pecota, G. Craig Yencho, et al.. (2025). A Reference-Quality NLRome for the Hexaploid Sweetpotato and Diploid Wild Relatives. Molecular Plant-Microbe Interactions. 38(6). 978–992.
3.
Childs, Kevin L., et al.. (2024). Effector Repertoire of the Sweetpotato Black Rot Fungal PathogenCeratocystis fimbriata. Molecular Plant-Microbe Interactions. 37(3). 315–326. 3 indexed citations
4.
Childs, Kevin L., et al.. (2024). Long-Read Sequencing Genome Assembly of Ceratocystis fimbriata Enables Development of Molecular Diagnostics for Sweetpotato Black Rot. Phytopathology. 114(6). 1411–1420. 5 indexed citations
6.
Buell, C. Robin, et al.. (2023). Gene expression profiling of soaked dry beans ( Phaseolus vulgaris L.) reveals cell wall modification plays a role in cooking time. The Plant Genome. 16(3). e20364–e20364. 2 indexed citations
8.
Burkhardt, Alyssa, et al.. (2019). Assembly, annotation, and comparison of Macrophomina phaseolina isolates from strawberry and other hosts. BMC Genomics. 20(1). 802–802. 19 indexed citations
9.
Zienkiewicz, Agnieszka, Krzysztof Zienkiewicz, Eric Poliner, et al.. (2019). The Microalga Nannochloropsis during Transition from Quiescence to Autotrophy in Response to Nitrogen Availability. PLANT PHYSIOLOGY. 182(2). 819–839. 65 indexed citations
10.
Kadirjan‐Kalbach, Deena K., Aiko Turmo, Jie Wang, et al.. (2019). Allelic Variation in the Chloroplast Division Gene FtsZ2-2 Leads to Natural Variation in Chloroplast Size. PLANT PHYSIOLOGY. 181(3). 1059–1074. 10 indexed citations
11.
Lloyd, John P., Megan J. Bowman, Christina B. Azodi, et al.. (2019). Evolutionary characteristics of intergenic transcribed regions indicate rare novel genes and widespread noisy transcription in the Poaceae. Scientific Reports. 9(1). 12122–12122. 2 indexed citations
12.
Edger, Patrick P., Ronald D. Smith, Michael R. McKain, et al.. (2017). Subgenome Dominance in an Interspecific Hybrid, Synthetic Allopolyploid, and a 140-Year-Old Naturally Established Neo-Allopolyploid Monkeyflower. The Plant Cell. 29(9). 2150–2167. 173 indexed citations
13.
Huot, Bethany, Christian Danve M. Castroverde, André C. Velásquez, et al.. (2017). Dual impact of elevated temperature on plant defence and bacterial virulence in Arabidopsis. Nature Communications. 8(1). 1808–1808. 179 indexed citations
14.
Kim, Jeongwoon, Yiming Liu, Xunzhong Zhang, Bingyu Zhao, & Kevin L. Childs. (2016). Analysis of salt-induced physiological and proline changes in 46 switchgrass (Panicum virgatum) lines indicates multiple response modes. Plant Physiology and Biochemistry. 105. 203–212. 48 indexed citations
15.
Hirsch, Candice N., Cory D. Hirsch, Alex B. Brohammer, et al.. (2016). Draft Assembly of Elite Inbred Line PH207 Provides Insights into Genomic and Transcriptome Diversity in Maize. The Plant Cell. 28(11). 2700–2714. 107 indexed citations
16.
Childs, Kevin L., Candice N. Hirsch, Elsa Góngora‐Castillo, et al.. (2014). Generation of Transcript Assemblies and Identification of Single Nucleotide Polymorphisms from Seven Lowland and Upland Cultivars of Switchgrass. The Plant Genome. 7(2). 7 indexed citations
17.
Childs, Kevin L., et al.. (2012). Managing and motivating today's contact‐center workforce. Employment Relations Today. 39(3). 29–35. 1 indexed citations
18.
Elsik, Christine G., Kim C. Worley, Lan Zhang, et al.. (2006). Community annotation: Procedures, protocols, and supporting tools: Table 1.. Genome Research. 16(11). 1329–1333. 36 indexed citations
19.
Gopal, Kreshna, Tod D. Romo, Erik McKee, et al.. (2005). TEXTAL™: automated crystallographic protein structure determination. Innovative Applications of Artificial Intelligence. 1483–1490. 1 indexed citations
20.
Childs, Kevin L., Robert R. Klein, Patricia E. Klein, Daryl T. Morishige, & John E. Mullet. (2001). Mapping genes on an integrated sorghum genetic and physical map using cDNA selection technology. The Plant Journal. 27(3). 243–255. 17 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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