K. H. Quesenberry

2.1k total citations
104 papers, 1.5k citations indexed

About

K. H. Quesenberry is a scholar working on Plant Science, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, K. H. Quesenberry has authored 104 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Plant Science, 44 papers in Agronomy and Crop Science and 26 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in K. H. Quesenberry's work include Turfgrass Adaptation and Management (23 papers), Agronomic Practices and Intercropping Systems (22 papers) and Ruminant Nutrition and Digestive Physiology (17 papers). K. H. Quesenberry is often cited by papers focused on Turfgrass Adaptation and Management (23 papers), Agronomic Practices and Intercropping Systems (22 papers) and Ruminant Nutrition and Digestive Physiology (17 papers). K. H. Quesenberry collaborates with scholars based in United States, Brazil and Argentina. K. H. Quesenberry's co-authors include Nicolas L. Taylor, Ann R. Blount, Kevin E. Kenworthy, Carlos A. Acuña, R. L. Smith, Lynn E. Sollenberger, S. C. Schank, J. H. Bouton, R. A. Dunn and David D. Baltensperger and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

K. H. Quesenberry

104 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. H. Quesenberry United States 21 1.1k 526 329 239 212 104 1.5k
Alan V. Stewart New Zealand 22 538 0.5× 569 1.1× 577 1.8× 215 0.9× 255 1.2× 73 1.4k
H. S. Easton New Zealand 21 380 0.4× 526 1.0× 652 2.0× 239 1.0× 313 1.5× 60 1.3k
Miguel Dall’Agnol Brazil 15 524 0.5× 251 0.5× 462 1.4× 86 0.4× 110 0.5× 120 933
Michael D. Peel United States 16 477 0.4× 258 0.5× 207 0.6× 84 0.4× 116 0.5× 64 772
D.E. Hume New Zealand 25 600 0.6× 404 0.8× 1.4k 4.3× 582 2.4× 348 1.6× 101 2.0k
Marty J. Faville New Zealand 19 537 0.5× 258 0.5× 393 1.2× 235 1.0× 168 0.8× 63 1.0k
Henry A. Fribourg United States 16 295 0.3× 339 0.6× 441 1.3× 206 0.9× 206 1.0× 68 938
D. A. Miller United States 17 833 0.8× 406 0.8× 123 0.4× 63 0.3× 77 0.4× 43 1.1k
Larry R. Teuber United States 17 735 0.7× 183 0.3× 358 1.1× 253 1.1× 46 0.2× 48 1.1k
David M. Wichman United States 17 809 0.8× 443 0.8× 70 0.2× 114 0.5× 94 0.4× 78 1.0k

Countries citing papers authored by K. H. Quesenberry

Since Specialization
Citations

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

Fields of papers citing papers by K. H. Quesenberry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. H. Quesenberry

This figure shows the co-authorship network connecting the top 25 collaborators of K. H. Quesenberry. A scholar is included among the top collaborators of K. H. Quesenberry 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. H. Quesenberry. K. H. Quesenberry 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.
Rios, Esteban F., et al.. (2020). Managing forage and turf‐type bahiagrass for seed production. Crop Science. 60(3). 1569–1579. 6 indexed citations
2.
Christiansen, Scott, et al.. (2016). Seasonal yield and quality of Bigalta, Redalta and Floralta limpograss. Tropical Agriculture. 65(1). 49–55. 8 indexed citations
3.
Freyre, Rosanna, et al.. (2015). Genetics and Anthocyanin Analysis of Flower Color in Mexican Petunia. Journal of the American Society for Horticultural Science. 140(1). 45–49. 10 indexed citations
4.
Wallau, Marcelo, Lynn E. Sollenberger, João Vendramini, et al.. (2015). Herbage Accumulation and Nutritive Value of Limpograss Breeding Lines Under Stockpiling Management. Crop Science. 55(5). 2377–2383. 10 indexed citations
5.
Sullivan, Michael L. & K. H. Quesenberry. (2014). Clover, Red (Trifolium pratense). Methods in molecular biology. 1223. 237–254. 7 indexed citations
6.
Quesenberry, K. H., Patricio Muńoz, Ann R. Blount, Kevin E. Kenworthy, & William T. Crow. (2014). Breeding forages in Florida for resistance to nematodes. Crop and Pasture Science. 65(11). 1192–1198. 3 indexed citations
7.
Rios, Esteban F., et al.. (2013). Seasonal expression of apospory in bahiagrass. SHILAP Revista de lepidopterología. 1(1). 116–116. 11 indexed citations
8.
Schwartz, Brian M., Kevin E. Kenworthy, William T. Crow, et al.. (2010). Variable Responses of Zoysiagrass Genotypes to the Sting Nematode. Crop Science. 50(2). 723–729. 11 indexed citations
9.
Blount, Ann R., et al.. (2008). Foliage freeze tolerance trait diversity in bahiagrass ( Paspalum notatum Flügge). New Zealand Journal of Agricultural Research. 51(2). 191–198. 2 indexed citations
10.
Williams, M. J., et al.. (2008). Photoperiod Sensitivity of Rhizoma Peanut Germplasm. Agronomy Journal. 100(5). 1366–1370. 11 indexed citations
11.
Kenworthy, Kevin E., et al.. (2008). Diversity and Relatedness of Common Carpetgrass Germplasm. Crop Science. 48(6). 2298–2304. 5 indexed citations
12.
Jank, Liana, et al.. (2007). Selection of morphological traits to improve forage characteristics of Setaria sphacelata grown in Florida. New Zealand Journal of Agricultural Research. 50(1). 73–83. 5 indexed citations
13.
Acuña, Carlos A., Ann R. Blount, K. H. Quesenberry, W. W. Hanna, & Kevin E. Kenworthy. (2007). Reproductive Characterization of Bahiagrass Germplasm. Crop Science. 47(4). 1711–1717. 32 indexed citations
14.
Jank, Liana, K. H. Quesenberry, Ann R. Blount, & P. Mislevy. (2002). Selection in Setaria sphacelata for winter survival. New Zealand Journal of Agricultural Research. 45(4). 273–281. 4 indexed citations
15.
Williams, M. J., et al.. (1997). Establishment of Rhizoma Peanut: Interaction of Cultivar, Planting Date, and Location on Emergence and Rate of Cover. Agronomy Journal. 89(6). 981–987. 20 indexed citations
16.
Quesenberry, K. H., et al.. (1993). Registration of ‘Cherokee’ Red Clover. Crop Science. 33(1). 208–209. 12 indexed citations
17.
Quesenberry, K. H., et al.. (1992). Pollen Germination of Rhizoma Peanut cv. Florigraze1. Peanut Science. 19(2). 105–107. 13 indexed citations
18.
Shilling, Donn G., et al.. (1989). In vitro selection for 2,4-D tolerance in red clover. Theoretical and Applied Genetics. 78(2). 265–270. 2 indexed citations
19.
Sollenberger, Lynn E., et al.. (1988). Animal Performance on Continuously Stocked ‘Pensacola’ Bahiagrass and ‘Floralta’ Limpograss Pastures. jpa. 1(3). 216–220. 39 indexed citations
20.
Bassett, Mark J., et al.. (1981). Cytogenetic Analysis of Interspecific Hybrids Between Common Bean and Scarlet Runner Bean1. Crop Science. 21(1). 75–79. 4 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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