Kevin J. Kayser

1.0k total citations
22 papers, 790 citations indexed

About

Kevin J. Kayser is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pollution. According to data from OpenAlex, Kevin J. Kayser has authored 22 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pollution. Recurrent topics in Kevin J. Kayser's work include Viral Infectious Diseases and Gene Expression in Insects (10 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Virus-based gene therapy research (4 papers). Kevin J. Kayser is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (10 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Virus-based gene therapy research (4 papers). Kevin J. Kayser collaborates with scholars based in United States, France and Austria. Kevin J. Kayser's co-authors include John J. Kilbane, Nan Lin, Olatunde Odusan, Henry J. George, Scott M. Bahr, Jeanne K. Brooks, J. Robert Paterek, Henry C. Aldrich, Bill W. Bogan and Arati Kolhatkar and has published in prestigious journals such as Applied and Environmental Microbiology, Biochemical and Biophysical Research Communications and Journal of Bacteriology.

In The Last Decade

Kevin J. Kayser

22 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin J. Kayser United States 14 472 179 179 177 104 22 790
Mehran Pazirandeh United States 13 447 0.9× 35 0.2× 143 0.8× 73 0.4× 79 0.8× 20 842
Jan Košťál United States 12 247 0.5× 18 0.1× 82 0.5× 121 0.7× 37 0.4× 16 708
Xiaoli Sun China 14 221 0.5× 65 0.4× 53 0.3× 314 1.8× 35 0.3× 34 784
Sung Gyun Kang South Korea 20 1.0k 2.2× 48 0.3× 160 0.9× 66 0.4× 14 0.1× 56 1.6k
KAZUYOSHI UMEHARA Japan 13 268 0.6× 125 0.7× 149 0.8× 124 0.7× 9 0.1× 17 681
Mario A. Torres‐Acosta Mexico 15 188 0.4× 56 0.3× 120 0.7× 39 0.2× 16 0.2× 35 598
Zhixia Liu China 15 578 1.2× 23 0.1× 95 0.5× 25 0.1× 18 0.2× 38 836
Aaron W. Puri United States 17 1.0k 2.1× 19 0.1× 280 1.6× 72 0.4× 8 0.1× 28 1.3k
Weiping Shi China 13 393 0.8× 10 0.1× 144 0.8× 59 0.3× 54 0.5× 15 853
Frank J. Mondello United States 11 459 1.0× 8 0.0× 243 1.4× 741 4.2× 120 1.2× 16 1.2k

Countries citing papers authored by Kevin J. Kayser

Since Specialization
Citations

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

Fields of papers citing papers by Kevin J. Kayser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin J. Kayser. 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 Kevin J. Kayser. The network helps show where Kevin J. Kayser may publish in the future.

Co-authorship network of co-authors of Kevin J. Kayser

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin J. Kayser. A scholar is included among the top collaborators of Kevin J. Kayser 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 Kevin J. Kayser. Kevin J. Kayser 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.
Baumann, Martina, Scott M. Bahr, Henry J. George, et al.. (2017). Preselection of recombinant gene integration sites enabling high transcription rates in CHO cells using alternate start codons and recombinase mediated cassette exchange. Biotechnology and Bioengineering. 114(11). 2616–2627. 32 indexed citations
2.
Mascarenhas, Joaquina, Nikolay Korokhov, Lisa Burger, et al.. (2016). Genetic engineering of CHO cells for viral resistance to minute virus of mice. Biotechnology and Bioengineering. 114(3). 576–588. 8 indexed citations
3.
Lin, Nan, Joaquina Mascarenhas, Henry J. George, et al.. (2015). Chinese hamster ovary (CHO) host cell engineering to increase sialylation of recombinant therapeutic proteins by modulating sialyltransferase expression. Biotechnology Progress. 31(2). 334–346. 53 indexed citations
4.
Lin, Nan, et al.. (2014). Overexpression of Serpinb1 in Chinese hamster ovary cells increases recombinant IgG productivity. Journal of Biotechnology. 193. 91–99. 6 indexed citations
5.
Yang, Zhang, Adnan Halim, Yoshiki Narimatsu, et al.. (2014). The GalNAc-type O-Glycoproteome of CHO Cells Characterized by the SimpleCell Strategy. Molecular & Cellular Proteomics. 13(12). 3224–3235. 74 indexed citations
6.
7.
Lin, Nan, et al.. (2010). Profiling highly conserved microrna expression in recombinant IgG‐producing and parental Chinese hamster ovary cells. Biotechnology Progress. 27(4). 1163–1171. 26 indexed citations
8.
Zhang, Min, et al.. (2009). Enhancing glycoprotein sialylation by targeted gene silencing in mammalian cells. Biotechnology and Bioengineering. 105(6). 1094–1105. 49 indexed citations
9.
Bahr, Scott M., et al.. (2009). Using microarray technology to select housekeeping genes in Chinese hamster ovary cells. Biotechnology and Bioengineering. 104(5). 1041–1046. 34 indexed citations
10.
Davis, Gregory D. & Kevin J. Kayser. (2008). Chromosomal Mutagenesis. Methods in molecular biology. 435. vii–xi. 5 indexed citations
11.
Lin, Nan, et al.. (2008). Methods and Applications of Laser‐Enabled Analysis and Processing (LEAP). Current Protocols in Cytometry. 43(1). Unit2.14–Unit2.14. 2 indexed citations
12.
Kayser, Kevin J., et al.. (2006). Cell Line Engineering Methods for Improving Productivity. 3 indexed citations
13.
14.
Bogan, Bill W., et al.. (2003). Alkanindiges illinoisensis gen. nov., sp. nov., an obligately hydrocarbonoclastic, aerobic squalane-degrading bacterium isolated from oilfield soils. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 53(5). 1389–1395. 73 indexed citations
15.
Kilbane, John J., et al.. (2002). Isolation and characterization of Sphingomonas sp. GTIN11 capable of carbazole metabolism in petroleum. Biochemical and Biophysical Research Communications. 297(2). 242–248. 63 indexed citations
16.
Kayser, Kevin J., et al.. (2002). Isolation and characterization of a moderate thermophile, Mycobacterium phlei GTIS10, capable of dibenzothiophene desulfurization. Applied Microbiology and Biotechnology. 59(6). 737–746. 68 indexed citations
17.
Kayser, Kevin J., et al.. (2001). Inducible and constitutive expression using new plasmid and integrative expression vectors for Thermus sp.. Letters in Applied Microbiology. 32(6). 412–418. 4 indexed citations
18.
Kayser, Kevin J., et al.. (1993). Utilization of organosulphur compounds by axenic and mixed cultures of Rhodococcus rhodochrous IGTS8. Journal of General Microbiology. 139(12). 3123–3129. 157 indexed citations
19.
Müller, Joachim G., et al.. (1993). Glutathione reductase in human and murine lung tumors: high levels of mRNA and enzymatic activity.. PubMed. 39(4). 389–96. 20 indexed citations
20.
Kayser, Kevin J., et al.. (1990). Effects of oxygen-deficiency on ATP and pyridine nucleotide contents, biosynthesis and stability of pigments in etiolated and green oat seedlings (Avena sativa L.).. Photosynthetica. 24(4). 529–538. 2 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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