Ken Cornell

2.7k total citations
65 papers, 2.2k citations indexed

About

Ken Cornell is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Ken Cornell has authored 65 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Epidemiology. Recurrent topics in Ken Cornell's work include Biochemical and Molecular Research (17 papers), Plasma Applications and Diagnostics (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Ken Cornell is often cited by papers focused on Biochemical and Molecular Research (17 papers), Plasma Applications and Diagnostics (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Ken Cornell collaborates with scholars based in United States, Canada and France. Ken Cornell's co-authors include Nikhat Parveen, Michael K. Riscoe, P. Lynne Howell, Jeffrey E. Lee, J.H. Thurston, Robert M. Bennett, Steven H. Hefeneider, Jeffrey Brown, Paul W. Cook and David J. Hinrichs and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Journal of Molecular Biology.

In The Last Decade

Ken Cornell

63 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Cornell United States 27 1.1k 235 230 194 188 65 2.2k
Jin Qiu China 26 929 0.8× 309 1.3× 344 1.5× 189 1.0× 107 0.6× 113 2.6k
Jingzhi Li China 25 1.4k 1.2× 132 0.6× 151 0.7× 121 0.6× 259 1.4× 68 2.1k
Andrea Schäfer Germany 31 2.0k 1.7× 254 1.1× 301 1.3× 446 2.3× 94 0.5× 82 3.6k
Laure Menin Switzerland 27 1.4k 1.3× 285 1.2× 540 2.3× 343 1.8× 154 0.8× 61 2.9k
Seong‐Cheol Park South Korea 34 1.9k 1.7× 81 0.3× 330 1.4× 189 1.0× 244 1.3× 150 3.6k
Maria José González Spain 21 521 0.5× 131 0.6× 92 0.4× 113 0.6× 75 0.4× 45 1.6k
Jingjing Qi China 30 1.1k 0.9× 94 0.4× 624 2.7× 176 0.9× 101 0.5× 150 2.9k
Mark A. McIntosh United States 29 1.6k 1.4× 248 1.1× 206 0.9× 1.1k 5.9× 169 0.9× 67 3.1k
Jaspreet Singh Sodhi United Kingdom 6 2.1k 1.8× 84 0.4× 93 0.4× 208 1.1× 564 3.0× 7 2.9k

Countries citing papers authored by Ken Cornell

Since Specialization
Citations

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

Fields of papers citing papers by Ken Cornell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Cornell

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Cornell. A scholar is included among the top collaborators of Ken Cornell 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 Ken Cornell. Ken Cornell 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.
Cornell, Ken, et al.. (2024). Simulation of a Radio-Frequency Wave Based Bacterial Biofilm Detection Method in Dairy Processing Facilities. Applied Sciences. 14(11). 4342–4342. 2 indexed citations
2.
Heiden, Zachariah M., et al.. (2024). Binding Mechanisms and Therapeutic Activity of Heterocyclic Substituted Arylazothioformamide Ligands and Their Cu(I) Coordination Complexes. ACS Omega. 9(35). 37141–37154. 6 indexed citations
3.
Cornell, Ken, et al.. (2023). Evaluation of azothioformamides and their copper(I) and silver(I) complexes for biological activity. Journal of Inorganic Biochemistry. 246. 112294–112294. 7 indexed citations
4.
Clark, Samuel J., et al.. (2023). Selective Optical Imaging for Detection of Bacterial Biofilms in Tissues. Journal of Imaging. 9(8). 160–160.
5.
Cornell, Ken, et al.. (2020). Evaluation of Nucleoside Analogs as Antimicrobials Targeting Unique Enzymes in Borrelia burgdorferi. Pathogens. 9(9). 678–678. 6 indexed citations
6.
Cornell, Ken, Reece J. Knippel, Kristen A. Mitchell, et al.. (2019). Characterization of 5′-methylthioadenosine/S-adenosylhomocysteine nucleosidases from Borrelia burgdorferi: Antibiotic targets for Lyme disease. Biochimica et Biophysica Acta (BBA) - General Subjects. 1864(1). 129455–129455. 9 indexed citations
7.
8.
Pu, Xinzhu, et al.. (2016). Exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) increases human hepatic stellate cell activation. Toxicology. 344-346. 26–33. 18 indexed citations
9.
Farid, Arvin, et al.. (2016). Impedance-Based Water-Quality Monitoring Using the Parallel-Plate Method. Geo-Chicago 2016. 378–392. 1 indexed citations
10.
Parveen, Nikhat & Ken Cornell. (2010). Methylthioadenosine/S‐adenosylhomocysteine nucleosidase, a critical enzyme for bacterial metabolism. Molecular Microbiology. 79(1). 7–20. 213 indexed citations
11.
Turner, Matthew, et al.. (2009). Structural basis for α-conotoxin potency and selectivity. Bioorganic & Medicinal Chemistry. 17(16). 5894–5899. 10 indexed citations
12.
Cornell, Ken, et al.. (2009). Assessment of methylthioadenosine/S-adenosylhomocysteine nucleosidases of Borrelia burgdorferi as targets for novel antimicrobials using a novel high-throughput method. Journal of Antimicrobial Chemotherapy. 63(6). 1163–1172. 25 indexed citations
13.
Rzewuski, Guillaume, Ken Cornell, Katharina Bürstenbinder, et al.. (2007). OsMTN encodes a 5′-methylthioadenosine nucleosidase that is up-regulated during submergence-induced ethylene synthesis in rice (Oryza sativa L.). Journal of Experimental Botany. 58(6). 1505–1514. 37 indexed citations
14.
Yip, Patrick, et al.. (2003). Crystallization and preliminary X-ray analysis of 5′-methylthioribose kinase fromBacillus subtilisandArabidopsis thaliana. Acta Crystallographica Section D Biological Crystallography. 60(1). 116–119. 9 indexed citations
15.
Lee, Jeffrey E., Ken Cornell, Michael K. Riscoe, & P. Lynne Howell. (2003). Structure of Escherichia coli5′-Methylthioadenosine/ S-Adenosylhomocysteine Nucleosidase Inhibitor Complexes Provide Insight into the Conformational Changes Required for Substrate Binding and Catalysis. Journal of Biological Chemistry. 278(10). 8761–8770. 49 indexed citations
16.
17.
Brown, Jeffrey, Paul W. Cook, & Ken Cornell. (2000). Adenosine- and Adenine-Nucleotide-Mediated Inhibition of Normal and Transformed Keratinocyte Proliferation is Dependent upon Dipyridamole-Sensitive Adenosine Transport. Journal of Investigative Dermatology. 115(5). 849–859. 26 indexed citations
18.
Cornell, Ken & Michael K. Riscoe. (1998). Cloning and expression of Escherichia coli 5′-methylthioadenosine/S-adenosylhomocysteine nucleosidase: Identification of the pfs gene product. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1396(1). 8–14. 44 indexed citations
19.
Hefeneider, Steven H., et al.. (1992). Nucleosomes and DNA bind to specific cell-surface molecules on murine cells and induce cytokine production. Clinical Immunology and Immunopathology. 63(3). 245–251. 102 indexed citations
20.
Hefeneider, Steven H., et al.. (1990). Identification of a Cell-Surface DNA Receptor and Its Association with Systemic Lupus Erythematosus. Journal of Investigative Dermatology. 94(6). s79–s84. 28 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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