Michael Lanuti

476 total citations
8 papers, 371 citations indexed

About

Michael Lanuti is a scholar working on Genetics, Epidemiology and Biotechnology. According to data from OpenAlex, Michael Lanuti has authored 8 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Epidemiology and 4 papers in Biotechnology. Recurrent topics in Michael Lanuti's work include Virus-based gene therapy research (6 papers), Cancer Research and Treatments (4 papers) and Herpesvirus Infections and Treatments (3 papers). Michael Lanuti is often cited by papers focused on Virus-based gene therapy research (6 papers), Cancer Research and Treatments (4 papers) and Herpesvirus Infections and Treatments (3 papers). Michael Lanuti collaborates with scholars based in United States. Michael Lanuti's co-authors include Larry R. Kaiser, Katherine L. Molnar-Kimber, Steven Μ. Albelda, James M. Wilson, M. Douglas Baker, Daniel H. Sterman, Michael Chang, Seth Force, Eun Ha Kang and Ashraf A. Elshami and has published in prestigious journals such as The Annals of Thoracic Surgery, Molecular Therapy and Annals of Emergency Medicine.

In The Last Decade

Michael Lanuti

8 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Lanuti United States 8 249 161 115 68 67 8 371
Ashraf A. Elshami United States 12 456 1.8× 267 1.7× 203 1.8× 201 3.0× 161 2.4× 17 734
Nagarajan Ramesh United States 7 236 0.9× 186 1.2× 148 1.3× 75 1.1× 24 0.4× 9 355
Jennifer Hickey United States 3 160 0.6× 79 0.5× 155 1.3× 37 0.5× 38 0.6× 6 264
Isabel DeLaura United States 9 106 0.4× 59 0.4× 89 0.8× 13 0.2× 47 0.7× 35 308
Désirée J. Wendering Germany 5 135 0.5× 289 1.8× 99 0.9× 10 0.1× 34 0.5× 7 386
Howard L. Kaufman United States 4 221 0.9× 163 1.0× 392 3.4× 33 0.5× 42 0.6× 9 479
Mario Chan United Kingdom 10 156 0.6× 139 0.9× 34 0.3× 10 0.1× 50 0.7× 12 353
Anna Marei Eichhoff Germany 7 51 0.2× 142 0.9× 39 0.3× 9 0.1× 85 1.3× 7 402
Jesse Veenstra United States 10 27 0.1× 57 0.4× 77 0.7× 13 0.2× 58 0.9× 42 245
Cecilia Robat United States 11 75 0.3× 28 0.2× 33 0.3× 26 0.4× 23 0.3× 20 314

Countries citing papers authored by Michael Lanuti

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lanuti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lanuti

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

All Works

8 of 8 papers shown
1.
Wiewrodt, Rainer, Kunjlata M. Amin, Michael Kiefer, et al.. (2003). Adenovirus-mediated gene transfer of enhanced Herpes simplex virus thymidine kinase mutants improves prodrug-mediated tumor cell killing. Cancer Gene Therapy. 10(5). 353–364. 41 indexed citations
2.
Lambright, Eric S., et al.. (2000). Efficacy of repeated adenoviral suicide gene therapy in a localized murine tumor model. The Annals of Thoracic Surgery. 70(6). 1865–1871. 17 indexed citations
3.
Lambright, Eric S., Seth Force, Michael Lanuti, et al.. (2000). Effect of Preexisting Anti-Herpes Immunity on the Efficacy of Herpes Simplex Viral Therapy in a Murine Intraperitoneal Tumor Model. Molecular Therapy. 2(4). 387–393. 39 indexed citations
4.
Sterman, Daniel H., Katherine L. Molnar-Kimber, Michael Chang, et al.. (2000). A pilot study of systemic corticosteroid administration in conjunction with intrapleural adenoviral vector administration in patients with malignant pleural mesothelioma. Cancer Gene Therapy. 7(12). 1511–1518. 28 indexed citations
5.
Xu, Keyang, Michael Lanuti, Eric S. Lambright, et al.. (2000). A rapid and sensitive method for the quantification of ganciclovir in plasma using liquid chromatography/selected reaction monitoring/mass spectrometry. Biomedical Chromatography. 14(2). 93–98. 14 indexed citations
6.
Lanuti, Michael, Seth Force, Michael Y. Chang, et al.. (1999). Evaluation of an E1E4-Deleted Adenovirus Expressing the Herpes Simplex Thymidine Kinase Suicide Gene in Cancer Gene Therapy. Human Gene Therapy. 10(3). 463–475. 28 indexed citations
7.
Molnar-Kimber, Katherine L., Daniel H. Sterman, Michael Chang, et al.. (1998). Impact of Preexisting and Induced Humoral and Cellular Immune Responses in an Adenovirus-Based Gene Therapy Phase I Clinical Trial for Localized Mesothelioma. Human Gene Therapy. 9(14). 2121–2133. 167 indexed citations
8.
Baker, M. Douglas & Michael Lanuti. (1990). The management and outcome of lacerations in urban children. Annals of Emergency Medicine. 19(9). 1001–1005. 37 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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