Leah K. McHale

4.2k total citations · 1 hit paper
72 papers, 2.6k citations indexed

About

Leah K. McHale is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Leah K. McHale has authored 72 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Plant Science, 13 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Leah K. McHale's work include Soybean genetics and cultivation (33 papers), Plant Pathogens and Resistance (22 papers) and Legume Nitrogen Fixing Symbiosis (19 papers). Leah K. McHale is often cited by papers focused on Soybean genetics and cultivation (33 papers), Plant Pathogens and Resistance (22 papers) and Legume Nitrogen Fixing Symbiosis (19 papers). Leah K. McHale collaborates with scholars based in United States, South Korea and Mexico. Leah K. McHale's co-authors include Richard W. Michelmore, Xiaoping Tan, Patrice Koehl, Anne E. Dorrance, Kyujung Van, M. A. Rouf Mian, Sung-Woo Lee, María José Truco, John J. Finer and O. Ochoa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Plant Cell.

In The Last Decade

Leah K. McHale

71 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Plant NBS-LRR proteins: adaptable guards.

2006 750 citations Leah K. McHale, Xiaoping Tan et al. Genome Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leah K. McHale United States	25	2.3k	628	358	274	79	72	2.6k
Robert Brueggeman United States	29	2.3k 1.0×	719 1.1×	386 1.1×	309 1.1×	98 1.2×	90	2.5k
Fasong Zhou China	22	2.2k 0.9×	659 1.0×	449 1.3×	196 0.7×	175 2.2×	35	2.5k
Aiko Uemura Japan	17	2.0k 0.9×	842 1.3×	738 2.1×	218 0.8×	37 0.5×	24	2.4k
Andrew Baumgarten United States	8	2.1k 0.9×	1.3k 2.1×	234 0.7×	134 0.5×	108 1.4×	9	2.5k
Carl R. Simmons United States	25	1.9k 0.8×	1.2k 1.8×	222 0.6×	118 0.4×	63 0.8×	35	2.2k
Yang Yen United States	20	1.6k 0.7×	410 0.7×	349 1.0×	240 0.9×	71 0.9×	57	1.7k
Satoshi Natsume Japan	17	2.6k 1.1×	1.2k 1.9×	1.0k 2.8×	184 0.7×	46 0.6×	27	3.1k
Zheping Yu China	17	2.8k 1.2×	967 1.5×	1.2k 3.2×	158 0.6×	104 1.3×	41	3.0k
Qiming Deng China	21	1.3k 0.6×	773 1.2×	319 0.9×	103 0.4×	63 0.8×	64	1.6k
Khalid Meksem United States	34	3.8k 1.6×	600 1.0×	301 0.8×	328 1.2×	102 1.3×	118	4.0k

Countries citing papers authored by Leah K. McHale

Since Specialization

Citations

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

Fields of papers citing papers by Leah K. McHale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leah K. McHale. 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 Leah K. McHale. The network helps show where Leah K. McHale may publish in the future.

Co-authorship network of co-authors of Leah K. McHale

This figure shows the co-authorship network connecting the top 25 collaborators of Leah K. McHale. A scholar is included among the top collaborators of Leah K. McHale 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 Leah K. McHale. Leah K. McHale 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

Van, Kyujung, Sung-Woo Lee, M. A. Rouf Mian, & Leah K. McHale. (2025). Network analysis combined with genome-wide association study helps identification of genes related to amino acid contents in soybean. BMC Genomics. 26(1). 21–21. 1 indexed citations

Van, Kyujung, et al.. (2024). Resistance gene enrichment sequencing for NLR genes for Phytophthora sojae in selected soybean plant introductions and differentials with putative novel and known Rps genes. Crop Science. 65(1). 2 indexed citations

Poelstra, Jelmer W., et al.. (2024). Comparative Transcriptomics of Soybean Genotypes with Partial Resistance Toward Phytophthora sojae, Conrad, and M92-220 to Moderately Susceptible Fast Neutron Mutant Soybeans and Sloan. Phytopathology. 114(8). 1851–1868. 1 indexed citations

Huang, Meng, Leah K. McHale, Dechun Wang, et al.. (2023). Canopy coverage phenotyping and field spatial variability adjustment as an efficient selection tool in soybean breeding. Crop Science. 63(6). 3277–3291. 3 indexed citations

Wijeratne, Saranga, et al.. (2023). Molecular mechanisms underpinning quantitative resistance to Phytophthora sojae in Glycine max using a systems genomics approach. Frontiers in Plant Science. 14. 1277585–1277585. 2 indexed citations

Arias, Cintia L., Truyen Quach, Hanh Nguyen, et al.. (2022). Expression of AtWRI1 and AtDGAT1 during soybean embryo development influences oil and carbohydrate metabolism. Plant Biotechnology Journal. 20(7). 1327–1345. 23 indexed citations

Van, Kyujung, William Rolling, R. M. Biyashev, et al.. (2020). Mining germplasm panels and phenotypic datasets to identify loci for resistance to Phytophthora sojae in soybean. The Plant Genome. 14(1). e20063–e20063. 16 indexed citations

Rolling, William, Anne E. Dorrance, & Leah K. McHale. (2020). Testing methods and statistical models of genomic prediction for quantitative disease resistance to Phytophthora sojae in soybean [Glycine max (L.) Merr] germplasm collections. Theoretical and Applied Genetics. 133(12). 3441–3454. 10 indexed citations

Rolling, William, et al.. (2020). Genome-wide association analyses of quantitative disease resistance in diverse sets of soybean [Glycine max (L.) Merr.] plant introductions. PLoS ONE. 15(3). e0227710–e0227710. 17 indexed citations

10.

Lee, Sung-Woo, Kyujung Van, Mi‐Kyung Sung, et al.. (2019). Genome-wide association study of seed protein, oil and amino acid contents in soybean from maturity groups I to IV. Theoretical and Applied Genetics. 132(6). 1639–1659. 84 indexed citations

11.

Van, Kyujung & Leah K. McHale. (2017). Meta-Analyses of QTLs Associated with Protein and Oil Contents and Compositions in Soybean [Glycine max (L.) Merr.] Seed. International Journal of Molecular Sciences. 18(6). 1180–1180. 71 indexed citations

12.

Cocuron, Jean‐Christophe, et al.. (2017). Impact of Environment on the Biomass Composition of Soybean (Glycine max) seeds. Journal of Agricultural and Food Chemistry. 65(32). 6753–6761. 20 indexed citations

13.

Gunadi, Andika, et al.. (2016). Characterization of 40 soybean (Glycine max) promoters, isolated from across 5 thematic gene groups. Plant Cell Tissue and Organ Culture (PCTOC). 127(1). 145–160. 16 indexed citations

14.

Lee, Sung-Woo, M. A. Rouf Mian, Leah K. McHale, et al.. (2013). Novel quantitative trait loci for partial resistance to Phytophthora sojae in soybean PI 398841. Theoretical and Applied Genetics. 126(4). 1121–1132. 46 indexed citations

15.

Wang, Hehe, Asela Wijeratne, Saranga Wijeratne, et al.. (2012). Dissection of two soybean QTL conferring partial resistance to Phytophthora sojae through sequence and gene expression analysis. BMC Genomics. 13(1). 428–428. 33 indexed citations

16.

Uwimana, Brigitte, M.J.M. Smulders, Danny A. P. Hooftman, et al.. (2012). Crop to wild introgression in lettuce: following the fate of crop genome segments in backcross populations. BMC Plant Biology. 12(1). 43–43. 21 indexed citations

17.

Uwimana, Brigitte, M.J.M. Smulders, Danny A. P. Hooftman, et al.. (2012). Hybridization between crops and wild relatives: the contribution of cultivated lettuce to the vigour of crop–wild hybrids under drought, salinity and nutrient deficiency conditions. Theoretical and Applied Genetics. 125(6). 1097–1111. 22 indexed citations

18.

Hayes, Ryan J., Leah K. McHale, Gary E. Vallad, et al.. (2011). The inheritance of resistance to Verticillium wilt caused by race 1 isolates of Verticillium dahliae in the lettuce cultivar La Brillante. Theoretical and Applied Genetics. 123(4). 509–517. 68 indexed citations

19.

Jeuken, Marieke, Leah K. McHale, K.T.B. Pelgrom, et al.. (2009). Rin4 Causes Hybrid Necrosis and Race-Specific Resistance in an Interspecific Lettuce Hybrid. The Plant Cell. 21(10). 3368–3378. 131 indexed citations

20.

McHale, Leah K., Xiaoping Tan, Patrice Koehl, & Richard W. Michelmore. (2006). Plant NBS-LRR proteins: adaptable guards.. Genome Biology. 7(4). 212–212. 750 indexed citations breakdown →

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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