Lee Shaughnessy

686 total citations
8 papers, 521 citations indexed

About

Lee Shaughnessy is a scholar working on Biotechnology, Molecular Biology and Endocrinology. According to data from OpenAlex, Lee Shaughnessy has authored 8 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biotechnology, 4 papers in Molecular Biology and 3 papers in Endocrinology. Recurrent topics in Lee Shaughnessy's work include Vibrio bacteria research studies (3 papers), Listeria monocytogenes in Food Safety (3 papers) and Microbial Inactivation Methods (2 papers). Lee Shaughnessy is often cited by papers focused on Vibrio bacteria research studies (3 papers), Listeria monocytogenes in Food Safety (3 papers) and Microbial Inactivation Methods (2 papers). Lee Shaughnessy collaborates with scholars based in United States and Germany. Lee Shaughnessy's co-authors include Joel A. Swanson, Ken Christensen, Adam D. Hoppe, Martin J. Loessner, Christine Alberti‐Segui, Darren E. Higgins, Davide Foletti, Adela Hasa-Moreno, Christine Bee and Arvind Rajpal and has published in prestigious journals such as Journal of Molecular Biology, Infection and Immunity and Cellular Microbiology.

In The Last Decade

Lee Shaughnessy

7 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lee Shaughnessy United States	7	243	140	106	89	88	8	521
Sebastian Hannemann Germany	9	266 1.1×	50 0.4×	204 1.9×	127 1.4×	144 1.6×	9	772
Mounir G. AbouHaidar Canada	20	595 2.4×	122 0.9×	62 0.6×	161 1.8×	74 0.8×	75	1.1k
Kristof Moonens Belgium	16	252 1.0×	36 0.3×	85 0.8×	134 1.5×	66 0.8×	20	557
P. Norton United Kingdom	11	199 0.8×	29 0.2×	89 0.8×	55 0.6×	106 1.2×	18	421
Stacy M. Burns United States	7	228 0.9×	30 0.2×	61 0.6×	76 0.9×	47 0.5×	9	468
Virginie Braun Canada	11	351 1.4×	42 0.3×	168 1.6×	286 3.2×	78 0.9×	11	894
Estelle Garénaux France	15	363 1.5×	57 0.4×	40 0.4×	44 0.5×	37 0.4×	20	518
Ondřej Černý Czechia	13	148 0.6×	28 0.2×	94 0.9×	165 1.9×	58 0.7×	19	459
Anne Rytkönen Sweden	10	232 1.0×	44 0.3×	159 1.5×	206 2.3×	81 0.9×	10	705
Ramona L. McCaffrey United States	11	428 1.8×	65 0.5×	232 2.2×	77 0.9×	167 1.9×	12	705

Countries citing papers authored by Lee Shaughnessy

Since Specialization

Citations

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

Fields of papers citing papers by Lee Shaughnessy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lee Shaughnessy

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

All Works

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8 of 8 papers shown

Neuhaus, Sarah, Marjorie Weaver, Jennifer L. Cohen, et al.. (2025). Phase 1/2 dose-finding study to evaluate systemic administration of an AAV9-based gene therapy for peripheral manifestation of Gaucher disease: The PROCEED study. Molecular Genetics and Metabolism. 144(2). 108873–108873.

Blarcom, Thomas Van, Andrea Rossi, Davide Foletti, et al.. (2014). Precise and Efficient Antibody Epitope Determination through Library Design, Yeast Display and Next-Generation Sequencing. Journal of Molecular Biology. 427(6). 1513–1534. 50 indexed citations

Foletti, Davide, Pavel Strop, Lee Shaughnessy, et al.. (2013). Mechanism of Action and In Vivo Efficacy of a Human-Derived Antibody against Staphylococcus aureus α-Hemolysin. Journal of Molecular Biology. 425(10). 1641–1654. 81 indexed citations

Shaughnessy, Lee, Peter Lipp, Kyung‐Dall Lee, & Joel A. Swanson. (2007). Localization of protein kinase C ? to macrophage vacuoles perforated by Listeria monocytogenes cytolysin. Cellular Microbiology. 9(7). 1695–1704. 14 indexed citations

Shaughnessy, Lee. (2006). The role of the activated macrophage in clearing Listeria monocytogenes infection. Frontiers in bioscience. 12(1). 2683–2683. 108 indexed citations

Thomason, Brendan, Lee Shaughnessy, R.A. McDonald, et al.. (2006). Bacillus anthracisPhospholipases C Facilitate Macrophage-Associated Growth and Contribute to Virulence in a Murine Model of Inhalation Anthrax. Infection and Immunity. 74(7). 3756–3764. 35 indexed citations

Shaughnessy, Lee, et al.. (2005). Cytolysin-dependent delay of vacuole maturation in macrophages infected with Listeria monocytogenes. Cellular Microbiology. 8(1). 107–119. 98 indexed citations

Shaughnessy, Lee, Adam D. Hoppe, Ken Christensen, & Joel A. Swanson. (2005). Membrane perforations inhibit lysosome fusion by altering pH and calcium in Listeria monocytogenes vacuoles. Cellular Microbiology. 8(5). 781–792. 135 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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