K. A. K. Moldenhauer

3.0k total citations
89 papers, 2.4k citations indexed

About

K. A. K. Moldenhauer is a scholar working on Plant Science, Nutrition and Dietetics and Genetics. According to data from OpenAlex, K. A. K. Moldenhauer has authored 89 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Plant Science, 19 papers in Nutrition and Dietetics and 19 papers in Genetics. Recurrent topics in K. A. K. Moldenhauer's work include Rice Cultivation and Yield Improvement (49 papers), GABA and Rice Research (32 papers) and Plant Disease Resistance and Genetics (21 papers). K. A. K. Moldenhauer is often cited by papers focused on Rice Cultivation and Yield Improvement (49 papers), GABA and Rice Research (32 papers) and Plant Disease Resistance and Genetics (21 papers). K. A. K. Moldenhauer collaborates with scholars based in United States, China and Australia. K. A. K. Moldenhauer's co-authors include Anna M. McClung, Bruce R. Hamaker, S. D. Linscombe, Elaine T. Champagne, K. S. McKenzie, Franklin E. Barton, Mustapha Benmoussa, Bryan T. Vinyard, David R. Gealy and Karen L. Bett and has published in prestigious journals such as PLoS ONE, Neurology and Journal of Agricultural and Food Chemistry.

In The Last Decade

K. A. K. Moldenhauer

88 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. A. K. Moldenhauer United States	27	1.8k	800	537	427	271	89	2.4k
Allan Hardacre New Zealand	28	723 0.4×	984 1.2×	87 0.2×	1.1k 2.5×	278 1.0×	74	2.1k
B. O. Juliano Philippines	24	1.7k 1.0×	1.7k 2.1×	195 0.4×	898 2.1×	158 0.6×	45	2.7k
Mahalingam Govindaraj India	22	1.6k 0.9×	182 0.2×	376 0.7×	219 0.5×	209 0.8×	78	1.9k
Ana Paula Silva Portugal	26	1.8k 1.0×	738 0.9×	50 0.1×	555 1.3×	385 1.4×	112	2.7k
A. Fabbri Italy	19	761 0.4×	208 0.3×	180 0.3×	295 0.7×	499 1.8×	70	1.4k
C. L. L. Gowda India	27	2.2k 1.2×	207 0.3×	221 0.4×	286 0.7×	292 1.1×	57	2.6k
R.J. Bryant United States	16	907 0.5×	459 0.6×	211 0.4×	319 0.7×	125 0.5×	36	1.2k
Mette Krogh Larsen Denmark	26	478 0.3×	326 0.4×	399 0.7×	424 1.0×	379 1.4×	57	1.9k
Gary A. Hareland United States	25	1.6k 0.9×	512 0.6×	545 1.0×	241 0.6×	93 0.3×	66	1.9k

Countries citing papers authored by K. A. K. Moldenhauer

Since Specialization

Citations

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

Fields of papers citing papers by K. A. K. Moldenhauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. A. K. Moldenhauer

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Moldenhauer, K. A. K., et al.. (2023). Registration of ‘ARoma 22’, an aromatic long‐grain rice cultivar. Journal of Plant Registrations. 17(3). 524–528. 1 indexed citations

Jia, Yulin, Zhonghua Wang, Melissa H. Jia, James C. Neil, & K. A. K. Moldenhauer. (2019). Development and Characterization of a Large Mutant Population of a Rice Variety Katy for Functional Genomics Studies and Breeding. 1 indexed citations

Counce, Paul A. & K. A. K. Moldenhauer. (2018). Morphology of Rice Seed Development and Its Influence on Grain Quality. Methods in molecular biology. 1892. 57–74. 4 indexed citations

Gealy, David R., K. A. K. Moldenhauer, & Melissa H. Jia. (2013). Field performance of STG06L-35-061, a new genetic resource developed from crosses between weed-suppressive indica rice and commercial southern U.S. long-grains. Plant and Soil. 370(1-2). 277–293. 18 indexed citations

Gealy, David R., K. A. K. Moldenhauer, & Sara E. Duke. (2013). Root Distribution and Potential Interactions Between Allelopathic Rice, Sprangletop (Leptochloa spp.), and Barnyardgrass (Echinochloa crus-galli) based on 13C Isotope Discrimination Analysis. Journal of Chemical Ecology. 39(2). 186–203. 29 indexed citations

Li, Xiaobai, Wengui Yan, Hesham A. Agrama, et al.. (2012). Unraveling the Complex Trait of Harvest Index with Association Mapping in Rice (Oryza sativa L.). PLoS ONE. 7(1). e29350–e29350. 78 indexed citations

Li, Xiaobai, Wengui Yan, Hesham A. Agrama, et al.. (2011). Mapping QTLs for improving grain yield using the USDA rice mini-core collection. Planta. 234(2). 347–361. 66 indexed citations

Belefant‐Miller, Helen, et al.. (2011). Utilizing the genetic diversity within rice cultivars. Planta. 235(3). 641–647. 4 indexed citations

Shivrain, Vinod K., Nilda R. Burgos, Hesham A. Agrama, et al.. (2010). Genetic diversity of weedy red rice (Oryza sativa) in Arkansas, USA. Weed Research. 50(4). 289–302. 59 indexed citations

10.

Li, Xiaobai, Wengui Yan, Hesham A. Agrama, et al.. (2010). Genotypic and phenotypic characterization of genetic differentiation and diversity in the USDA rice mini-core collection. Genetica. 138(11-12). 1221–1230. 75 indexed citations

11.

Nelson, James C., Anna M. McClung, Robert G. Fjellstrom, et al.. (2010). Mapping QTL main and interaction influences on milling quality in elite US rice germplasm. Theoretical and Applied Genetics. 122(2). 291–309. 45 indexed citations

12.

Wang, Y.‐J., et al.. (2008). Comparison of Physical and Chemical Properties of Medium‐Grain Rice Cultivars Grown in California and Arkansas. Journal of Food Science. 73(2). C72–8. 23 indexed citations

13.

Shivrain, Vinod K., et al.. (2008). Maximum Outcrossing Rate and Genetic Compatibility between Red Rice (Oryza sativa) Biotypes and Clearfield™ Rice. Weed Science. 56(6). 807–813. 36 indexed citations

14.

Moldenhauer, K. A. K., J.W. Gibbons, Charles E. Wilson, et al.. (2007). Registration of ‘Banks’ Rice. Crop Science. 47(1). 445–446. 6 indexed citations

15.

Moldenhauer, K. A. K., R. J. Norman, Nathan A. Slaton, et al.. (2007). Registration of ‘Wells’ Rice. Crop Science. 47(1). 442–443. 27 indexed citations

16.

Champagne, Elaine T., Karen L. Bett‐Garber, Casey C. Grimm, et al.. (2001). Near‐Infrared Reflectance Analysis for Prediction of Cooked Rice Texture. Cereal Chemistry. 78(3). 358–362. 31 indexed citations

17.

Norman, Robert J., et al.. (2000). Grain yield response of new rice cultivars to nitrogen fertilization.. 267–277. 8 indexed citations

18.

Dilday, R. H., K. A. K. Moldenhauer, Yan Wang, & David R. Gealy. (1998). Allelopathic activities to barnyardgrass in rice and yield reduction due to barnyardgrass infestation.. 27–31. 4 indexed citations

19.

Gravois, K. A., et al.. (1994). Registration of ‘Adair’ Rice. Crop Science. 34(4). 1123–1123. 2 indexed citations

20.

Norman, Robert J., et al.. (1990). Grain yield response of 'Skybonnet', 'Katy' and 'Maybelle' to nitrogen fertilization.. 35–39. 1 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.

Explore authors with similar magnitude of impact