Kathy L. Rowlen

4.4k total citations
97 papers, 3.5k citations indexed

About

Kathy L. Rowlen is a scholar working on Molecular Biology, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Kathy L. Rowlen has authored 97 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 26 papers in Biomedical Engineering and 23 papers in Epidemiology. Recurrent topics in Kathy L. Rowlen's work include Gold and Silver Nanoparticles Synthesis and Applications (21 papers), Influenza Virus Research Studies (18 papers) and Respiratory viral infections research (17 papers). Kathy L. Rowlen is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (21 papers), Influenza Virus Research Studies (18 papers) and Respiratory viral infections research (17 papers). Kathy L. Rowlen collaborates with scholars based in United States, India and Germany. Kathy L. Rowlen's co-authors include Garth J. Simpson, Thomas H. Reilly, Michele L. Jacobson, Jao van de Lagemaat, Peter C. Andersen, Anthony J. Morfa, M.J. Romero, David Semin, Erica D. Dawson and Joel M. Harris and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Nature Materials.

In The Last Decade

Kathy L. Rowlen

95 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathy L. Rowlen United States 30 1.3k 926 850 846 836 97 3.5k
P. K. Gupta India 40 2.1k 1.6× 923 1.0× 1.5k 1.8× 867 1.0× 802 1.0× 248 5.5k
Thomas Pfohl Germany 33 1.7k 1.4× 266 0.3× 574 0.7× 345 0.4× 710 0.8× 100 3.8k
T. Taniguchi Japan 36 558 0.4× 513 0.6× 961 1.1× 589 0.7× 411 0.5× 190 4.4k
Kenji Kubota Japan 40 909 0.7× 339 0.4× 1.4k 1.7× 345 0.4× 1.7k 2.1× 263 7.3k
Bogdan Dragnea United States 34 879 0.7× 305 0.3× 1.0k 1.2× 294 0.3× 321 0.4× 108 4.1k
Paul van der Schoot Netherlands 44 1.6k 1.2× 1.2k 1.3× 3.3k 3.9× 556 0.7× 640 0.8× 183 7.7k
David Erickson United States 48 4.3k 3.4× 554 0.6× 417 0.5× 1.4k 1.6× 1.7k 2.0× 170 6.5k
Willem K. Kegel Netherlands 40 1.3k 1.1× 723 0.8× 4.3k 5.0× 602 0.7× 352 0.4× 138 6.2k
Gary Bryant Australia 39 1.2k 1.0× 351 0.4× 1.8k 2.1× 464 0.5× 303 0.4× 175 5.8k
K. Hiramatsu Japan 32 805 0.6× 1.6k 1.8× 1.5k 1.8× 1.2k 1.4× 1.4k 1.7× 177 4.6k

Countries citing papers authored by Kathy L. Rowlen

Since Specialization
Citations

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

Fields of papers citing papers by Kathy L. Rowlen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathy L. Rowlen. 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 Kathy L. Rowlen. The network helps show where Kathy L. Rowlen may publish in the future.

Co-authorship network of co-authors of Kathy L. Rowlen

This figure shows the co-authorship network connecting the top 25 collaborators of Kathy L. Rowlen. A scholar is included among the top collaborators of Kathy L. Rowlen 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 Kathy L. Rowlen. Kathy L. Rowlen 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.
Gao, Rachel Y., Tianjing Hu, R. W. Lacey, et al.. (2025). Assay for rapid quantification of capped and tailed intact mRNA. Vaccine. 61. 127339–127339.
2.
3.
Dawson, Erica D., James E. Johnson, Tianjing Hu, et al.. (2022). VaxArray immunoassay for the multiplexed quantification of poliovirus D-antigen. Journal of Immunological Methods. 504. 113259–113259. 4 indexed citations
4.
Merkel, Patricia, Thomas E. Morrison, Mary K. McCarthy, et al.. (2021). Evaluation of a multiplexed coronavirus antigen array for detection of SARS-CoV-2 specific IgG in COVID-19 convalescent plasma. Journal of Immunological Methods. 497. 113104–113104. 2 indexed citations
5.
Miller, David F., et al.. (2021). Multiplexed VaxArray immunoassay for rapid antigen quantification in measles and rubella vaccine manufacturing. Vaccine X. 9. 100113–100113. 6 indexed citations
6.
Dawson, Erica D., et al.. (2021). Multiplexed, microscale, microarray-based serological assay for antibodies against all human-relevant coronaviruses. Journal of Virological Methods. 291. 114111–114111. 10 indexed citations
7.
Dawson, Erica D., et al.. (2019). FluChip‐8G Insight: HA and NA subtyping of potentially pandemic influenza A viruses in a single assay. Influenza and Other Respiratory Viruses. 14(1). 55–60. 2 indexed citations
8.
Dawson, Erica D., et al.. (2019). Analytical evaluation of the microarray-based FluChip-8G Influenza A+B Assay. Journal of Virological Methods. 273. 113686–113686. 6 indexed citations
9.
Dawson, Erica D., et al.. (2019). Clinical validation of the FluChip-8G Influenza A+B Assay for influenza type and subtype identification. Journal of Clinical Virology. 118. 20–27. 5 indexed citations
10.
Ye, Zhiping, et al.. (2017). Automated interpretation of influenza hemagglutination inhibition (HAI) assays: Is plate tilting necessary?. PLoS ONE. 12(6). e0179939–e0179939. 13 indexed citations
11.
Kuck, Laura R., et al.. (2014). Titer on Chip: New Analytical Tool for Influenza Vaccine Potency Determination. PLoS ONE. 9(10). e109616–e109616. 20 indexed citations
12.
Rowlen, Kathy L., et al.. (2011). ampliPHOX Colorimetric Detection on a DNA Microarray for Influenza. Journal of Visualized Experiments. 1 indexed citations
13.
Mahmoud, Wafaa, et al.. (2010). Evaluation of the Virus Counter® for rapid baculovirus quantitation. Journal of Virological Methods. 171(1). 111–116. 21 indexed citations
14.
Heil, Gary L., Troy A. McCarthy, Kyoung‐Jin Yoon, et al.. (2010). MChip, a low density microarray, differentiates among seasonal human H1N1, North American swine H1N1, and the 2009 pandemic H1N1. Influenza and Other Respiratory Viruses. 4(6). 411–416. 4 indexed citations
15.
Townsend, Michael B., James A. Smagala, Erica D. Dawson, et al.. (2008). Detection of adamantane-resistant influenza on a microarray. Journal of Clinical Virology. 42(2). 117–123. 17 indexed citations
16.
Townsend, Michael B., Erica D. Dawson, Martin Mehlmann, et al.. (2006). Experimental Evaluation of the FluChip Diagnostic Microarray for Influenza Virus Surveillance. Journal of Clinical Microbiology. 44(8). 2863–2871. 102 indexed citations
17.
Dawson, Erica D., et al.. (2005). Spotting optimization for oligo microarrays on aldehyde–glass. Analytical Biochemistry. 341(2). 352–360. 21 indexed citations
18.
Rowlen, Kathy L., et al.. (2002). Quantitative Intercomparison of Transmission Electron Microscopy, Flow Cytometry, and Epifluorescence Microscopy for Nanometric Particle Analysis. Analytical Biochemistry. 304(2). 249–256. 16 indexed citations
19.
Rowlen, Kathy L., et al.. (2000). On-column refractive index detector for flash chromatography. Journal of Chromatography A. 886(1-2). 9–18. 2 indexed citations
20.
Semin, David, et al.. (1994). PSORALEN‐OLEFIN PHOTOPRODUCI'S: FIRST OBSERVATION OF A PHOTO‐ENE REACTION. Photochemistry and Photobiology. 60(3). 185–195. 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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