Kim Knuth

491 total citations
11 papers, 380 citations indexed

About

Kim Knuth is a scholar working on Molecular Biology, Pharmacology and Spectroscopy. According to data from OpenAlex, Kim Knuth has authored 11 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Pharmacology and 6 papers in Spectroscopy. Recurrent topics in Kim Knuth's work include Analytical Chemistry and Chromatography (6 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Glycosylation and Glycoproteins Research (2 papers). Kim Knuth is often cited by papers focused on Analytical Chemistry and Chromatography (6 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Glycosylation and Glycoproteins Research (2 papers). Kim Knuth collaborates with scholars based in United States. Kim Knuth's co-authors include Hai‐Zhi Bu, Philip Teitelbaum, Joseph R. Robinson, Mansoor M. Amiji, Bradley D. Anderson, Robert A. Conradi, Brian K. Irons, Martin E. Dowty, Steven L. Nail and Kendra L. Lawrence and has published in prestigious journals such as Advanced Drug Delivery Reviews, International Journal of Pharmaceutics and Pharmaceutical Research.

In The Last Decade

Kim Knuth

11 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim Knuth United States 10 153 112 89 80 51 11 380
Robert A. Lipper United States 5 143 0.9× 48 0.4× 62 0.7× 74 0.9× 45 0.9× 8 323
Katsumi Iga Japan 13 120 0.8× 49 0.4× 33 0.4× 128 1.6× 49 1.0× 42 464
Jonas H. Fagerberg Sweden 9 299 2.0× 38 0.3× 132 1.5× 78 1.0× 63 1.2× 11 478
Navya Sree Kola Srinivas India 10 263 1.7× 64 0.6× 55 0.6× 70 0.9× 22 0.4× 14 394
Albert S. Kearney United States 10 146 1.0× 38 0.3× 39 0.4× 87 1.1× 47 0.9× 17 375
Sumihisa Kimura Japan 11 75 0.5× 195 1.7× 50 0.6× 117 1.5× 222 4.4× 13 547
Naoki Nagahara Japan 7 294 1.9× 22 0.2× 40 0.4× 110 1.4× 82 1.6× 9 461
Zeynep Şafak Teksin Türkiye 11 198 1.3× 37 0.3× 42 0.5× 121 1.5× 58 1.1× 23 409
Ian Knemeyer United States 8 115 0.8× 44 0.4× 188 2.1× 163 2.0× 89 1.7× 9 500
Thomas J. Mikkelson United States 12 160 1.0× 58 0.5× 63 0.7× 122 1.5× 60 1.2× 15 511

Countries citing papers authored by Kim Knuth

Since Specialization
Citations

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

Fields of papers citing papers by Kim Knuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Knuth

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Knuth. A scholar is included among the top collaborators of Kim Knuth 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 Kim Knuth. Kim Knuth 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.
Knuth, Kim, et al.. (2019). Investigation of unknown impurities of paromomycin in a 15% topical cream by liquid chromatography combined with mass spectrometry. Rapid Communications in Mass Spectrometry. 33(21). 1660–1669. 1 indexed citations
2.
Bu, Hai‐Zhi, et al.. (2001). High-throughput cytochrome P450 (CYP) inhibition screening via a cassette probe-dosing strategy. European Journal of Pharmaceutical Sciences. 12(4). 447–452. 20 indexed citations
6.
Knuth, Kim, Mansoor M. Amiji, & Joseph R. Robinson. (1993). Hydrogel delivery systems for vaginal and oral applications. Advanced Drug Delivery Reviews. 11(1-2). 137–167. 81 indexed citations
7.
Dowty, Martin E., et al.. (1992). Transport of Thyrotropin Releasing Hormone in Rabbit Buccal Mucosa in Vitro. Pharmaceutical Research. 9(9). 1113–1122. 78 indexed citations
8.
Knuth, Kim, et al.. (1992). Enzyme characterization studies on the rate-limiting barrier in rabbit buccal mucosa. International Journal of Pharmaceutics. 88(1-3). 293–302. 13 indexed citations
9.
Anderson, Bradley D., Robert A. Conradi, Kim Knuth, & Steven L. Nail. (1985). Strategies in the Design of Solution-Stable, Water-Soluble Prodrugs II: Properties of Micellar Prodrugs of Methylprednisolone. Journal of Pharmaceutical Sciences. 74(4). 375–381. 23 indexed citations
10.
Anderson, Bradley D., Robert A. Conradi, & Kim Knuth. (1985). Strategies in the Design of Solution-Stable, Water-Soluble Prodrugs I: A Physical-Organic Approach to Pro-Moiety Selection for 21-Esters of Corticosteroids. Journal of Pharmaceutical Sciences. 74(4). 365–374. 32 indexed citations
11.
Anderson, Bradley D., Robert A. Conradi, Kim Knuth, & Steven L. Nail. (1985). Strategies in the Design of Solution-Stable, Water-Soluble Prodrugs Ill: Influence of the Pro-Moiety on the Bioconversion of 21-Esters of Corticosteroids. Journal of Pharmaceutical Sciences. 74(4). 382–387. 17 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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