K.F. Knowlton

3.4k total citations
99 papers, 2.5k citations indexed

About

K.F. Knowlton is a scholar working on Agronomy and Crop Science, Pollution and Environmental Chemistry. According to data from OpenAlex, K.F. Knowlton has authored 99 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Agronomy and Crop Science, 35 papers in Pollution and 27 papers in Environmental Chemistry. Recurrent topics in K.F. Knowlton's work include Ruminant Nutrition and Digestive Physiology (40 papers), Soil and Water Nutrient Dynamics (27 papers) and Pharmaceutical and Antibiotic Environmental Impacts (25 papers). K.F. Knowlton is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (40 papers), Soil and Water Nutrient Dynamics (27 papers) and Pharmaceutical and Antibiotic Environmental Impacts (25 papers). K.F. Knowlton collaborates with scholars based in United States, United Kingdom and China. K.F. Knowlton's co-authors include Amy Pruden, Partha Ray, J.H. Herbein, Kang Xia, B.P. Glenn, R.A. Erdman, M.D. Hanigan, M.L. McGilliard, J. S. Radcliffe and Curtis Lyn Novak and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

K.F. Knowlton

95 papers receiving 2.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
K.F. Knowlton 1.0k 696 457 440 347 99 2.5k
Tao Ma 900 0.9× 682 1.0× 279 0.6× 137 0.3× 395 1.1× 137 2.8k
L. J. Yanke 746 0.7× 351 0.5× 154 0.3× 189 0.4× 229 0.7× 68 2.6k
Ole Højberg 996 1.0× 303 0.4× 330 0.7× 225 0.5× 957 2.8× 71 3.5k
Juan Boo Liang 973 0.9× 500 0.7× 365 0.8× 65 0.1× 1.1k 3.1× 217 4.5k
James E. Wells 1.3k 1.2× 149 0.2× 389 0.9× 135 0.3× 480 1.4× 118 3.4k
Carlo Viti 600 0.6× 572 0.8× 245 0.5× 217 0.5× 294 0.8× 122 4.0k
J.A.N. Mills 1.1k 1.1× 128 0.2× 492 1.1× 226 0.5× 268 0.8× 71 2.2k
Alex V. Chaves 2.6k 2.4× 135 0.2× 402 0.9× 228 0.5× 882 2.5× 121 3.8k
Jiandui Mi 282 0.3× 717 1.0× 134 0.3× 49 0.1× 243 0.7× 91 2.0k
Phillip B. Pope 587 0.6× 303 0.4× 267 0.6× 241 0.5× 130 0.4× 81 4.4k

Countries citing papers authored by K.F. Knowlton

Since Specialization
Citations

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

Fields of papers citing papers by K.F. Knowlton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K.F. Knowlton

This figure shows the co-authorship network connecting the top 25 collaborators of K.F. Knowlton. A scholar is included among the top collaborators of K.F. Knowlton 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.F. Knowlton. K.F. Knowlton 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.
Zhang, Jingyi, Kevin Liu, Ishi Keenum, et al.. (2023). ARGem: a new metagenomics pipeline for antibiotic resistance genes: metadata, analysis, and visualization. Frontiers in Genetics. 14. 1219297–1219297. 4 indexed citations
2.
Knowlton, K.F. & M.A.G. von Keyserlingk. (2023). To Treat or Not to Treat: Public Attitudes on the Therapeutic Use of Antibiotics in the Dairy Industry—A Qualitative Study. Animals. 13(18). 2913–2913. 2 indexed citations
3.
Daniels, K.M., et al.. (2020). Graduate Student Literature Review: Potential mechanisms of interaction between bacteria and the reproductive tract of dairy cattle. Journal of Dairy Science. 103(11). 10951–10960. 11 indexed citations
4.
Li, Mengmeng, et al.. (2020). Short communication: Increasing temperature and pH can facilitate reductions of cephapirin and antibiotic resistance genes in dairy manure slurries. Journal of Dairy Science. 103(3). 2877–2882. 13 indexed citations
5.
6.
Knowlton, K.F., et al.. (2017). Animal agriculture as a contributor to the global challenge of antibiotic resistance.. CABI Reviews. 1–9. 1 indexed citations
7.
Wang, Aili, Susan E. Duncan, K.F. Knowlton, W. Keith Ray, & Andrea M. Dietrich. (2016). Milk protein composition and stability changes affected by iron in water sources. Journal of Dairy Science. 99(6). 4206–4219. 5 indexed citations
8.
Keyserlingk, M.A.G. von, N. P. Martin, E. Kebreab, et al.. (2013). Invited review: Sustainability of the US dairy industry. Journal of Dairy Science. 96(9). 5405–5425. 194 indexed citations
9.
Stallings, Charles C. & K.F. Knowlton. (2013). Strategies to Reduce Amounts of Nitrogen and Phosphorus in Dairy Rations. VTechWorks (Virginia Tech). 1 indexed citations
10.
Wilson, Jonathan, et al.. (2013). The effects of forage particle length and exogenous phytase inclusion on phosphorus digestion and absorption in lactating cows. Journal of Dairy Science. 97(1). 411–418. 26 indexed citations
11.
Feng, Xin, et al.. (2013). Effect of abomasal ferrous lactate infusion on phosphorus absorption in lactating dairy cows. Journal of Dairy Science. 96(7). 4586–4591. 7 indexed citations
12.
Knowlton, K.F., et al.. (2010). Effective nitrogen preservation during urine collection from Holstein heifers fed diets with high or low protein content. Journal of Dairy Science. 93(1). 323–329. 14 indexed citations
13.
Knowlton, K.F., V. A. Wilkerson, D. P. Casper, & D.R. Mertens. (2010). Manure nutrient excretion by Jersey and Holstein cows. Journal of Dairy Science. 93(1). 407–412. 25 indexed citations
14.
Hollmann, M., K.F. Knowlton, & M.D. Hanigan. (2008). Evaluation of Solids, Nitrogen, and Phosphorus Excretion Models for Lactating Dairy Cows. Journal of Dairy Science. 91(3). 1245–1257. 14 indexed citations
15.
Knowlton, K.F., M.L. McGilliard, William S. Swecker, et al.. (2008). Dietary calcium has little effect on mineral balance and bone mineral metabolism through twenty weeks of lactation in Holstein cows. Journal of Dairy Science. 92(1). 223–237. 48 indexed citations
16.
Dickenson, M. P., et al.. (2008). Short communication: Analysis of immune function in lactating dairy cows fed diets varying in phosphorus content. Journal of Dairy Science. 92(1). 365–368. 9 indexed citations
17.
Knowlton, K.F., et al.. (2007). The Waste Solutions Forum: An Innovative and Cooperative Approach to Support the Agricultural Community and Protect Water Quality. Community Development. 38(4). 85–93. 1 indexed citations
18.
Hill, Sally Rao, et al.. (2007). Nitrogen and Phosphorus Retention and Excretion in Late-Gestation Dairy Heifers. Journal of Dairy Science. 90(12). 5634–5642. 15 indexed citations
19.
Knowlton, K.F., et al.. (2006). ADSA Foundation Scholar Award: Implementing Waste Solutions for Dairy and Livestock Farms. Journal of Dairy Science. 89(5). 1372–1383. 10 indexed citations
20.
Knowlton, K.F., Julie McKinney, & Charles W. Cobb. (2002). Effect of a Direct-Fed Fibrolytic Enzyme Formulation on Nutrient Intake, Partitioning, and Excretion in Early and Late Lactation Holstein Cows. Journal of Dairy Science. 85(12). 3328–3335. 42 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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