Lawrence Horowitz

879 total citations · 1 hit paper
7 papers, 672 citations indexed

About

Lawrence Horowitz is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Epidemiology. According to data from OpenAlex, Lawrence Horowitz has authored 7 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Lawrence Horowitz's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Influenza Virus Research Studies (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Lawrence Horowitz is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Influenza Virus Research Studies (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Lawrence Horowitz collaborates with scholars based in United States, Japan and Türkiye. Lawrence Horowitz's co-authors include Ramesh R. Bhatt, Richard A. Lerner, A.K. Kashyap, John Steel, Peter Palese, Michael Dillon, Michael Horowitz, Adam Rubrum, Gira Bhabha and Reza Khayat and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Molecular Biology.

In The Last Decade

Lawrence Horowitz

7 papers receiving 660 citations

Hit Papers

Cross-neutralization of influenza A viruses mediated by a... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lawrence Horowitz United States 6 520 249 238 179 118 7 672
Anne Fournillier France 16 448 0.9× 218 0.9× 134 0.6× 171 1.0× 74 0.6× 21 740
Shanshan Lang United States 8 313 0.6× 125 0.5× 147 0.6× 186 1.0× 112 0.9× 16 553
Laura Couzens United States 15 722 1.4× 173 0.7× 191 0.8× 147 0.8× 170 1.4× 19 831
James D. Allen United States 12 491 0.9× 133 0.5× 255 1.1× 135 0.8× 297 2.5× 18 715
Matt Ardito United States 10 149 0.3× 117 0.5× 197 0.8× 259 1.4× 77 0.7× 11 437
Christiane Brohm Germany 7 403 0.8× 68 0.3× 146 0.6× 110 0.6× 174 1.5× 7 674
Els Festjens Belgium 3 343 0.7× 96 0.4× 237 1.0× 105 0.6× 75 0.6× 3 441
L. Earnest-Silveira Australia 14 540 1.0× 70 0.3× 79 0.3× 122 0.7× 116 1.0× 19 719
Roy W. Johnson United States 6 155 0.3× 117 0.5× 154 0.6× 246 1.4× 123 1.0× 8 516
Ryan Tassone United States 12 98 0.2× 128 0.5× 212 0.9× 211 1.2× 69 0.6× 14 429

Countries citing papers authored by Lawrence Horowitz

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Horowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Horowitz

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

All Works

7 of 7 papers shown
1.
Milutinovic, Snezana, A.K. Kashyap, Teruki Yanagi, et al.. (2015). Dual Agonist Surrobody Simultaneously Activates Death Receptors DR4 and DR5 to Induce Cancer Cell Death. Molecular Cancer Therapeutics. 15(1). 114–124. 12 indexed citations
2.
Foreman, Pamela K., Li Xu, Charles Hannum, et al.. (2012). ErbB3 Inhibitory Surrobodies Inhibit Tumor Cell Proliferation In Vitro and In Vivo. Molecular Cancer Therapeutics. 11(7). 1411–1420. 16 indexed citations
3.
Ekiert, Damian C., A.K. Kashyap, John Steel, et al.. (2012). Cross-neutralization of influenza A viruses mediated by a single antibody loop. Nature. 489(7417). 526–532. 364 indexed citations breakdown →
4.
Xu, Li, Angeles Estellés, Raffaella Briante, et al.. (2010). Surrobodies with Functional Tails. Journal of Molecular Biology. 397(1). 352–360. 2 indexed citations
5.
Kashyap, A.K., John Steel, Adam Rubrum, et al.. (2010). Protection from the 2009 H1N1 Pandemic Influenza by an Antibody from Combinatorial Survivor-Based Libraries. PLoS Pathogens. 6(7). e1000990–e1000990. 58 indexed citations
6.
Xu, Li, Christina Chan, A.K. Kashyap, et al.. (2008). Combinatorial surrobody libraries. Proceedings of the National Academy of Sciences. 105(31). 10756–10761. 14 indexed citations
7.
Kashyap, A.K., John Steel, Ahmet Faik Öner, et al.. (2008). Combinatorial antibody libraries from survivors of the Turkish H5N1 avian influenza outbreak reveal virus neutralization strategies. Proceedings of the National Academy of Sciences. 105(16). 5986–5991. 206 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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