Kelci Miclaus

1.6k total citations
11 papers, 254 citations indexed

About

Kelci Miclaus is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Kelci Miclaus has authored 11 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 5 papers in Plant Science and 4 papers in Molecular Biology. Recurrent topics in Kelci Miclaus's work include Genetic Associations and Epidemiology (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Wheat and Barley Genetics and Pathology (4 papers). Kelci Miclaus is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Wheat and Barley Genetics and Pathology (4 papers). Kelci Miclaus collaborates with scholars based in United States, Italy and Australia. Kelci Miclaus's co-authors include Wendy Czika, Russell D. Wolfinger, Russ Wolfinger, Youssef Idaghdour, Hilary C. Martin, Sang Lee, Eric W. Jackson, Greg Gibson, David B. Goldstein and Kevin V. Shianna and has published in prestigious journals such as Nature Genetics, PLoS ONE and Field Crops Research.

In The Last Decade

Kelci Miclaus

11 papers receiving 249 citations

Peers

Kelci Miclaus

GENET

MB

PS

ND

IMMUN

Jae‐Yoon Kim South Korea

Tao Shi China

Marcela K Tello-Ruiz United States

T.‐P. Yu United States

Sean Blake United States

Leif Andersson Sweden

Xiaobin Yang China

Wen‐Xiang Liu China

Shuang Guo China

Jae‐Yoon Kim South Korea

Kelci Miclaus

117 ×0.9

GENET

86 ×0.9

MB

122 ×1.3

PS

14 ×0.5

ND

6 ×0.3

IMMUN

Citations per year, relative to Kelci Miclaus Kelci Miclaus (= 1×) peers Jae‐Yoon Kim

Countries citing papers authored by Kelci Miclaus

Since Specialization

Citations

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

Fields of papers citing papers by Kelci Miclaus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelci Miclaus. 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 Kelci Miclaus. The network helps show where Kelci Miclaus may publish in the future.

Co-authorship network of co-authors of Kelci Miclaus

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

All Works

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11 of 11 papers shown

1.

Battenfield, Sarah, Kelci Miclaus, Susanne Dreisigacker, et al.. (2018). Breeding-assisted genomics: Applying meta-GWAS for milling and baking quality in CIMMYT wheat breeding program. PLoS ONE. 13(11). e0204757–e0204757. 34 indexed citations

2.

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

3.

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

4.

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

5.

Miclaus, Kelci, et al.. (2012). The Traveling Salesman Traverses the Genome: Using SAS® Optimization in JMP® Genomics to build Genetic Maps. 1 indexed citations

6.

Zhang, L, Kelci Miclaus, Marco Chierici, et al.. (2010). Assessment of variability in GWAS with CRLMM genotyping algorithm on WTCCC coronary artery disease. The Pharmacogenomics Journal. 10(4). 347–354. 12 indexed citations

7.

Chierici, Marco, Kelci Miclaus, Silvia C. Vega, & Cesare Furlanello. (2010). An interactive effect of batch size and composition contributes to discordant results in GWAS with the CHIAMO genotyping algorithm. The Pharmacogenomics Journal. 10(4). 355–363. 8 indexed citations

8.

Miclaus, Kelci, Marco Chierici, Christophe G Lambert, et al.. (2010). Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies. The Pharmacogenomics Journal. 10(4). 324–335. 11 indexed citations

9.

Miclaus, Kelci, Russ Wolfinger, Silvia C. Vega, et al.. (2010). Batch effects in the BRLMM genotype calling algorithm influence GWAS results for the Affymetrix 500K array. The Pharmacogenomics Journal. 10(4). 336–346. 14 indexed citations

10.

Miclaus, Kelci, Russ Wolfinger, & Wendy Czika. (2009). SNP selection and multidimensional scaling to quantify population structure. Genetic Epidemiology. 33(6). 488–496. 18 indexed citations

11.

Idaghdour, Youssef, Wendy Czika, Kevin V. Shianna, et al.. (2009). Geographical genomics of human leukocyte gene expression variation in southern Morocco. Nature Genetics. 42(1). 62–67. 96 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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