Jonathan Lehrer

1.3k total citations
25 papers, 279 citations indexed

About

Jonathan Lehrer is a scholar working on Plant Science, Pulmonary and Respiratory Medicine and Cell Biology. According to data from OpenAlex, Jonathan Lehrer has authored 25 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Cell Biology. Recurrent topics in Jonathan Lehrer's work include Botany, Ecology, and Taxonomy Studies (8 papers), Plant Pathogens and Fungal Diseases (8 papers) and Prostate Cancer Treatment and Research (7 papers). Jonathan Lehrer is often cited by papers focused on Botany, Ecology, and Taxonomy Studies (8 papers), Plant Pathogens and Fungal Diseases (8 papers) and Prostate Cancer Treatment and Research (7 papers). Jonathan Lehrer collaborates with scholars based in United States, Canada and China. Jonathan Lehrer's co-authors include Mark H. Brand, Nicholas Erho, Mohammed Alshalalfa, Elai Davicioni, Harrison Tsai, Tamara L. Lotan, Kent E. Holsinger, Wenyu Sun, Christine Buerki and Maria Aranes and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

In The Last Decade

Jonathan Lehrer

24 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Lehrer United States 10 112 101 92 45 43 25 279
Calin O. Marian United States 7 255 2.3× 161 1.6× 27 0.3× 8 0.2× 15 0.3× 11 455
Guangfu Huang China 12 145 1.3× 158 1.6× 26 0.3× 28 0.6× 11 0.3× 24 543
Eric J. Earley United States 9 95 0.8× 51 0.5× 15 0.2× 41 0.9× 7 0.2× 29 249
Lixiao Che United States 9 256 2.3× 154 1.5× 14 0.2× 24 0.5× 49 1.1× 11 318
Youngsun Lee South Korea 9 169 1.5× 18 0.2× 60 0.7× 10 0.2× 27 0.6× 22 273
Maria Cartolano Germany 10 374 3.3× 335 3.3× 23 0.3× 68 1.5× 9 0.2× 15 507
Lijuan Zhao China 11 166 1.5× 47 0.5× 26 0.3× 8 0.2× 24 0.6× 33 419
Rola Dali Canada 10 233 2.1× 51 0.5× 7 0.1× 34 0.8× 29 0.7× 11 327
Jennifer Dorrens United Kingdom 7 81 0.7× 14 0.1× 89 1.0× 24 0.5× 30 0.7× 9 316

Countries citing papers authored by Jonathan Lehrer

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Lehrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Lehrer

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Lehrer. A scholar is included among the top collaborators of Jonathan Lehrer 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 Jonathan Lehrer. Jonathan Lehrer 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.
Sun, Da, Wenyu Sun, Songqi Gao, et al.. (2024). Intravitreal Delivery of PEGylated-ECO Plasmid DNA Nanoparticles for Gene Therapy of Stargardt Disease. Pharmaceutical Research. 41(4). 807–817. 4 indexed citations
2.
Sun, Da, Wenyu Sun, Songqi Gao, et al.. (2022). Effective gene therapy of Stargardt disease with PEG-ECO/pGRK1-ABCA4-S/MAR nanoparticles. Molecular Therapy — Nucleic Acids. 29. 823–835. 22 indexed citations
3.
Alshalalfa, Mohammed, Yang Liu, Alexander W. Wyatt, et al.. (2019). Characterization of transcriptomic signature of primary prostate cancer analogous to prostatic small cell neuroendocrine carcinoma. International Journal of Cancer. 145(12). 3453–3461. 15 indexed citations
4.
Cooperberg, Matthew R., Nicholas Erho, June M. Chan, et al.. (2018). The Diverse Genomic Landscape of Clinically Low-risk Prostate Cancer. European Urology. 74(4). 444–452. 40 indexed citations
5.
Miyamoto, David T., Ewan A. Gibb, Kent W. Mouw, et al.. (2018). Genomic profiling of muscle invasive bladder cancer to predict response to bladder-sparing trimodality therapy.. Journal of Clinical Oncology. 36(6_suppl). 513–513. 1 indexed citations
6.
Kim, Won Bae, Eric J. Small, Rahul Aggarwal, et al.. (2018). Luminal and basal subtyping of metastatic castration-resistant prostate cancer (mCRPC) and its clinical implications.. Journal of Clinical Oncology. 36(6_suppl). 197–197. 2 indexed citations
7.
Tsai, Harrison, Jonathan Lehrer, Mohammed Alshalalfa, et al.. (2017). Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma. BMC Cancer. 17(1). 759–759. 50 indexed citations
8.
Efstathiou, Jason A., Ewan A. Gibb, David T. Miyamoto, et al.. (2017). Subtyping muscle-invasive bladder cancer to assess clinical response to trimodality therapy.. Journal of Clinical Oncology. 35(6_suppl). 287–287.
9.
Kim, Hyun, María Santiago‐Jiménez, Jonathan Lehrer, et al.. (2017). Transcriptome evaluation of the relation between body mass index and prostate cancer outcomes. Cancer. 123(12). 2240–2247. 2 indexed citations
10.
Efstathiou, Jason A., Ewan A. Gibb, David T. Miyamoto, et al.. (2017). Subtyping Muscle-Invasive Bladder Cancer to Assess Clinical Response to Trimodality Therapy. International Journal of Radiation Oncology*Biology*Physics. 99(2). S118–S118. 1 indexed citations
11.
Brand, Mark H., et al.. (2012). Fecundity of Winged Euonymus Cultivars and Their Ability to Invade Various Natural Environments. HortScience. 47(8). 1029–1033. 5 indexed citations
12.
Brand, Mark H., et al.. (2011). Susceptibility of Eastern Ninebark (Physocarpus opulifolius (L.) Maxim.) Cultivars to Powdery Mildew. Journal of Environmental Horticulture. 29(3). 105–107. 1 indexed citations
13.
Lehrer, Jonathan & Mark H. Brand. (2010). Purple-leaved Japanese Barberry (var. atropurpurea) Genotypes Become Visually Indistinguishable from Greenleaved Genotypes (Berberis thunbergii DC.) at Low Light Levels. Journal of Environmental Horticulture. 28(3). 187–189. 3 indexed citations
14.
15.
Brand, Mark H., et al.. (2008). AFLP identification ofBerberis thunbergiicultivars, inter-specific hybrids, and their parental species. The Journal of Horticultural Science and Biotechnology. 83(1). 55–63. 18 indexed citations
16.
17.
Brand, Mark H., et al.. (2008). Detecting the influence of ornamental Berberis thunbergii var. atropurpurea in invasive populations of Berberis thunbergii (Berberidaceae) using AFLP1. American Journal of Botany. 95(6). 700–705. 15 indexed citations
18.
Lehrer, Jonathan. (2007). Horticultural strategies to counter invasive Japanese barberry (Berberis thunbergii DC.). OpenCommons - UConn (University of Connecticut). 1 indexed citations
19.
Lehrer, Jonathan, et al.. (2006). Four Cultivars of Japanese Barberry Demonstrate Differential Reproductive Potential under Landscape Conditions. HortScience. 41(3). 762–767. 22 indexed citations
20.
Lehrer, Jonathan, et al.. (2006). Seedling Populations Produced by Colored-leaf Genotypes of Japanese Barberry (Berberis thunbergii DC.) Contain Seedlings with Green Leaf Phenotype. Journal of Environmental Horticulture. 24(3). 133–136. 4 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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