Jacquelyn Kilbourne

98 total papers · 1.6k total citations
43 papers, 1.2k citations indexed

About

Jacquelyn Kilbourne is a scholar working on Biotechnology, Molecular Biology and Immunology. According to data from OpenAlex, Jacquelyn Kilbourne has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biotechnology, 9 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in Jacquelyn Kilbourne's work include Transgenic Plants and Applications (10 papers), Virus-based gene therapy research (7 papers) and Wound Healing and Treatments (7 papers). Jacquelyn Kilbourne is often cited by papers focused on Transgenic Plants and Applications (10 papers), Virus-based gene therapy research (7 papers) and Wound Healing and Treatments (7 papers). Jacquelyn Kilbourne collaborates with scholars based in United States, China and Chile. Jacquelyn Kilbourne's co-authors include Hugh S. Mason, Charles J. Arntzen, Luca Santi, Zhong Huang, Qiang Chen, Brooke E. Hjelm, Melissa M. Herbst‐Kralovetz, Lance A. Batchelor, Roy Curtiss and Tsafrir S. Mor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biomaterials.

In The Last Decade

Jacquelyn Kilbourne

42 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jacquelyn Kilbourne 434 361 250 186 175 43 1.2k
Shiho Kurokawa 609 1.4× 286 0.8× 288 1.2× 72 0.4× 386 2.2× 35 1.4k
Haoming Wu 450 1.0× 275 0.8× 288 1.2× 116 0.6× 91 0.5× 56 1.3k
Christopher Thomas 413 1.0× 303 0.8× 193 0.8× 172 0.9× 143 0.8× 41 1.5k
Olivier Grépinet 365 0.8× 440 1.2× 122 0.5× 130 0.7× 192 1.1× 35 1.5k
Sumita Jain 563 1.3× 132 0.4× 69 0.3× 123 0.7× 166 0.9× 26 1.3k
Sandeep Kaur 397 0.9× 87 0.2× 170 0.7× 209 1.1× 59 0.3× 36 1.3k
Thierry Bernardi 717 1.7× 260 0.7× 118 0.5× 141 0.8× 46 0.3× 26 1.4k
Hany Anany 419 1.0× 96 0.3× 237 0.9× 127 0.7× 65 0.4× 35 1.2k
M Kostrzyńska 339 0.8× 294 0.8× 165 0.7× 152 0.8× 292 1.7× 28 1.3k
Krisana Asano 454 1.0× 268 0.7× 227 0.9× 110 0.6× 139 0.8× 62 1.4k

Countries citing papers authored by Jacquelyn Kilbourne

Since Specialization
Citations

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

Fields of papers citing papers by Jacquelyn Kilbourne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacquelyn Kilbourne

This figure shows the co-authorship network connecting the top 25 collaborators of Jacquelyn Kilbourne. A scholar is included among the top collaborators of Jacquelyn Kilbourne 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 Jacquelyn Kilbourne. Jacquelyn Kilbourne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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