Julian R. Smith

44 total papers · 1.0k total citations
26 papers, 690 citations indexed

About

Julian R. Smith is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Julian R. Smith has authored 26 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Julian R. Smith's work include Receptor Mechanisms and Signaling (4 papers), Barrier Structure and Function Studies (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Julian R. Smith is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Barrier Structure and Function Studies (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Julian R. Smith collaborates with scholars based in United States, Canada and United Kingdom. Julian R. Smith's co-authors include Dritan Agalliu, Sigal B. Kofman, Sarah E. Lutz, Yueh–Ming Loo, Jason W. Locasale, Annelise G. Snyder, Michael Gale, Xia Gao, Jennifer Martinez and Joseph P. Kolb and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Julian R. Smith

25 papers receiving 679 citations

Hit Papers

The Nucleotide Sensor ZBP... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Julian R. Smith 355 173 161 95 60 26 690
Yongwei Qin 235 0.7× 168 1.0× 88 0.5× 80 0.8× 36 0.6× 43 614
Cagla Akay 289 0.8× 101 0.6× 110 0.7× 76 0.8× 16 0.3× 31 711
Herena Eixarch 389 1.1× 221 1.3× 65 0.4× 87 0.9× 131 2.2× 31 774
James A. Martiney 163 0.5× 242 1.4× 156 1.0× 102 1.1× 43 0.7× 17 772
Ya Zhang 379 1.1× 169 1.0× 76 0.5× 80 0.8× 28 0.5× 37 755
Yiguo Qiu 240 0.7× 182 1.1× 84 0.5× 46 0.5× 19 0.3× 27 685
Joan H. Lane 130 0.4× 147 0.8× 84 0.5× 79 0.8× 25 0.4× 20 603
Sabine Wolter 478 1.3× 128 0.7× 58 0.4× 84 0.9× 35 0.6× 29 748
Laura Collins 195 0.5× 133 0.8× 155 1.0× 84 0.9× 16 0.3× 30 611
Robert M. DeKroon 391 1.1× 60 0.3× 109 0.7× 90 0.9× 38 0.6× 26 759

Countries citing papers authored by Julian R. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Julian R. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julian R. Smith. 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 Julian R. Smith. The network helps show where Julian R. Smith may publish in the future.

Co-authorship network of co-authors of Julian R. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Julian R. Smith. A scholar is included among the top collaborators of Julian R. Smith 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 Julian R. Smith. Julian R. Smith 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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