Michael K. Wanous

966 total citations
11 papers, 695 citations indexed

About

Michael K. Wanous is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Michael K. Wanous has authored 11 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 3 papers in Genetics and 1 paper in Molecular Biology. Recurrent topics in Michael K. Wanous's work include Wheat and Barley Genetics and Pathology (6 papers), Plant Disease Resistance and Genetics (6 papers) and Chromosomal and Genetic Variations (3 papers). Michael K. Wanous is often cited by papers focused on Wheat and Barley Genetics and Pathology (6 papers), Plant Disease Resistance and Genetics (6 papers) and Chromosomal and Genetic Variations (3 papers). Michael K. Wanous collaborates with scholars based in United States, United Kingdom and Australia. Michael K. Wanous's co-authors include Graham Moore, Isabelle Colas, Simon Griffiths, Isabelle Bertin, Steve Reader, Tracie Foote, James A. Birchler, J. P. Gustafson, P. G. Goicoechea and F. R. Miller and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Genetics.

In The Last Decade

Michael K. Wanous

10 papers receiving 673 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 K. Wanous United States 9 647 280 189 43 35 11 695
Catherine Feuillet United States 7 556 0.9× 227 0.8× 189 1.0× 24 0.6× 45 1.3× 7 607
G. Melz Germany 13 427 0.7× 99 0.4× 116 0.6× 83 1.9× 30 0.9× 32 452
Roshi Shrestha United Kingdom 11 568 0.9× 168 0.6× 178 0.9× 26 0.6× 27 0.8× 14 591
Harry Belcram France 8 614 0.9× 325 1.2× 149 0.8× 35 0.8× 32 0.9× 11 648
Ennian Yang China 15 660 1.0× 138 0.5× 180 1.0× 68 1.6× 13 0.4× 46 674
Yuqing Lu China 18 725 1.1× 168 0.6× 203 1.1× 80 1.9× 19 0.5× 48 790
N. C. Subrahmanyam India 14 471 0.7× 297 1.1× 70 0.4× 20 0.5× 72 2.1× 37 516
Yuange Wang China 10 382 0.6× 135 0.5× 129 0.7× 53 1.2× 12 0.3× 10 431
K. D. Liu China 9 589 0.9× 154 0.6× 522 2.8× 18 0.4× 26 0.7× 11 679
Sang Nag Ahn South Korea 4 715 1.1× 109 0.4× 491 2.6× 26 0.6× 24 0.7× 6 758

Countries citing papers authored by Michael K. Wanous

Since Specialization
Citations

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

Fields of papers citing papers by Michael K. Wanous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael K. Wanous

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

All Works

11 of 11 papers shown
1.
Wanous, Michael K.. (2009). SCIENCE AND CHRISTIANITY: POSITIVE HISTORICAL MODELS FOR INTERACTION.
2.
Colas, Isabelle, Peter Shaw, Pilar Prieto, et al.. (2008). Effective chromosome pairing requires chromatin remodeling at the onset of meiosis. Proceedings of the National Academy of Sciences. 105(16). 6075–6080. 70 indexed citations
3.
Storlie, Eric, Robert J. Ihry, Leslie M. Baehr, et al.. (2008). Genomic regions influencing gene expression of the HMW glutenins in wheat. Theoretical and Applied Genetics. 118(2). 295–303. 8 indexed citations
4.
Griffiths, Simon, Tracie Foote, Isabelle Bertin, et al.. (2006). Molecular characterization of Ph1 as a major chromosome pairing locus in polyploid wheat. Nature. 439(7077). 749–752. 376 indexed citations
5.
Wanous, Michael K., et al.. (2003). Identification of chromosome arms influencing expression of the HMW glutenins in wheat. Theoretical and Applied Genetics. 106(2). 213–220. 21 indexed citations
6.
7.
Ma, Xuefeng, Michael K. Wanous, Katherine Houchins, et al.. (2001). Molecular linkage mapping in rye (Secale cereale L.). Theoretical and Applied Genetics. 102(4). 517–523. 53 indexed citations
8.
Wanous, Michael K. & J. P. Gustafson. (1995). A genetic map of rye chromosome 1R integrating RFLP and cytogenetic loci. Theoretical and Applied Genetics. 91(5). 720–726. 19 indexed citations
9.
Wanous, Michael K., P. G. Goicoechea, & J. P. Gustafson. (1995). RFLP maps of rye chromosomes 6R and 7R including terminal C-bands. Genome. 38(5). 999–1004. 15 indexed citations
10.
Wanous, Michael K., F. R. Miller, & D. T. Rosenow. (1991). Evaluation of Visual Rating Scales for Green Leaf Retention in Sorghum. Crop Science. 31(6). 1691–1694. 29 indexed citations
11.
Wanous, Michael K.. (1990). Origin, taxonomy and ploidy of the millets and minor cereals.. 3(2). 99–112. 18 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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