Christopher M. Kearney

825 total citations
31 papers, 626 citations indexed

About

Christopher M. Kearney is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Christopher M. Kearney has authored 31 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Plant Science and 8 papers in Biotechnology. Recurrent topics in Christopher M. Kearney's work include Plant Virus Research Studies (13 papers), Transgenic Plants and Applications (8 papers) and Antimicrobial Peptides and Activities (6 papers). Christopher M. Kearney is often cited by papers focused on Plant Virus Research Studies (13 papers), Transgenic Plants and Applications (8 papers) and Antimicrobial Peptides and Activities (6 papers). Christopher M. Kearney collaborates with scholars based in United States, Kazakhstan and Canada. Christopher M. Kearney's co-authors include Jonathan Donson, William O. Dawson, Mark E. Hilf, Zun Liu, S. M. Ashiqul Islam, Erich J. Baker, Michael J. Thomson, Yiyang Zhou, J L Slightom and Hector Quemada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Scientific Reports.

In The Last Decade

Christopher M. Kearney

31 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher M. Kearney United States 14 401 358 240 85 52 31 626
Laurence K. Grill United States 12 491 1.2× 557 1.6× 509 2.1× 79 0.9× 87 1.7× 18 953
Erin Egelkrout United States 12 390 1.0× 430 1.2× 266 1.1× 64 0.8× 16 0.3× 19 733
Laurent Camborde France 13 795 2.0× 360 1.0× 60 0.3× 69 0.8× 28 0.5× 21 972
Jakob Brandt Denmark 8 370 0.9× 334 0.9× 49 0.2× 51 0.6× 58 1.1× 8 602
Asun Fernández‐del‐Carmen Spain 18 502 1.3× 828 2.3× 225 0.9× 20 0.2× 32 0.6× 24 1.1k
Thomas H. Turpen United States 12 485 1.2× 559 1.6× 575 2.4× 63 0.7× 104 2.0× 13 898
Fernando Bravo‐Almonacid Argentina 16 404 1.0× 371 1.0× 208 0.9× 43 0.5× 21 0.4× 32 647
Glenn G. Lilley Australia 17 199 0.5× 405 1.1× 103 0.4× 17 0.2× 46 0.9× 29 770
Isabel Murillo Spain 15 400 1.0× 304 0.8× 45 0.2× 86 1.0× 39 0.8× 23 704
Adam S. Inglis Australia 16 268 0.7× 426 1.2× 107 0.4× 35 0.4× 60 1.2× 24 803

Countries citing papers authored by Christopher M. Kearney

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Kearney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Kearney. 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 Christopher M. Kearney. The network helps show where Christopher M. Kearney may publish in the future.

Co-authorship network of co-authors of Christopher M. Kearney

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Kearney. A scholar is included among the top collaborators of Christopher M. Kearney 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 Christopher M. Kearney. Christopher M. Kearney 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.
Young, Mikaeel, et al.. (2025). Generation of VacA-targeting guide peptides to increase specific antimicrobial peptide toxicity against Helicobacter pylori. Journal of Biotechnology. 403. 17–29. 1 indexed citations
2.
3.
Islam, S. M. Ashiqul, et al.. (2019). Repurposing a drug targeting peptide for targeting antimicrobial peptides against Staphylococcus. Biotechnology Letters. 42(2). 287–294. 12 indexed citations
4.
Islam, S. M. Ashiqul, Christopher M. Kearney, & Erich J. Baker. (2018). Assigning biological function using hidden signatures in cystine-stabilized peptide sequences. Scientific Reports. 8(1). 9049–9049. 6 indexed citations
5.
Islam, S. M. Ashiqul, Christopher M. Kearney, & Erich J. Baker. (2018). Classes, Databases, and Prediction Methods of Pharmaceutically and Commercially Important Cystine-Stabilized Peptides. Toxins. 10(6). 251–251. 5 indexed citations
6.
Islam, S. M. Ashiqul, et al.. (2017). Protein classification using modified n-grams and skip-grams. Bioinformatics. 34(9). 1481–1487. 24 indexed citations
7.
8.
Kearney, Christopher M., et al.. (2017). Protein Classification using Modified N-Gram and Skip-Gram Models. 586–586. 4 indexed citations
9.
Islam, S. M. Ashiqul, Tanvir Sajed, Christopher M. Kearney, & Erich J. Baker. (2015). PredSTP: a highly accurate SVM based model to predict sequential cystine stabilized peptides. BMC Bioinformatics. 16(1). 210–210. 19 indexed citations
10.
Kearney, Christopher M., et al.. (2015). Nectar protein content and attractiveness to Aedes aegypti and Culex pipiens in plants with nectar/insect associations. Acta Tropica. 146. 81–88. 12 indexed citations
11.
Zhou, Yiyang, Payal D. Maharaj, Jyothi K. Mallajosyula, Alison A. McCormick, & Christopher M. Kearney. (2014). In planta Production of Flock House Virus Transencapsidated RNA and Its Potential Use as a Vaccine. Molecular Biotechnology. 57(4). 325–336. 27 indexed citations
12.
Liu, Zun, Bo Ning, Terumi Midoro‐Horiuti, et al.. (2010). Plant-Expressed Recombinant Mountain Cedar Allergen Jun a 1 Is Allergenic and Has Limited Pectate Lyase Activity. International Archives of Allergy and Immunology. 153(4). 347–358. 6 indexed citations
13.
Midoro‐Horiuti, Terumi, et al.. (2008). The expression of a mountain cedar allergen comparing plant-viral apoplastic and yeast expression systems. Biotechnology Letters. 30(7). 1259–1264. 4 indexed citations
14.
Goldblum, Randall M., et al.. (2006). Major mountain cedar allergen, Jun a 1, contains conformational as well as linear IgE epitopes. Molecular Immunology. 44(10). 2781–2785. 12 indexed citations
15.
Adair, Tamarah L. & Christopher M. Kearney. (2000). Recombination between a 3-kilobase tobacco mosaic virus transgene and a homologous viral construct in the restoration of viral and nonviral genes. Archives of Virology. 145(9). 1867–1883. 15 indexed citations
16.
Kearney, Christopher M., et al.. (1999). Genome evolution of tobacco mosaic virus populations during long-term passaging in a diverse range of hosts. Archives of Virology. 144(8). 1513–1526. 40 indexed citations
17.
Kearney, Christopher M., et al.. (1993). Low Level of Genetic Drift in Foreign Sequences Replicating in an RNA Virus in Plants. Virology. 192(1). 11–17. 35 indexed citations
18.
Kearney, Christopher M.. (1990). A Field Survey for Serogroups and the Satellite RNA of Cucumber Mosaic Virus. Phytopathology. 80(11). 1238–1238. 19 indexed citations
19.
Quemada, Hector, Christopher M. Kearney, D. Gonsalves, & J L Slightom. (1989). Nucleotide Sequences of the Coat Protein Genes and Flanking Regions of Cucumber Mosaic Virus Strains C and WL RNA 3. Journal of General Virology. 70(5). 1065–1073. 38 indexed citations
20.
Kearney, Christopher M., et al.. (1984). β-1,3-Glucanase and the spread of tobacco mosaic virus in Nicotiana and Phaseolus. Canadian Journal of Botany. 62(10). 1984–1988. 3 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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