Jonathan Schwartz

208 total papers · 1.3k total citations
41 papers, 797 citations indexed

About

Jonathan Schwartz is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Jonathan Schwartz has authored 41 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 7 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Jonathan Schwartz's work include Glioma Diagnosis and Treatment (11 papers), Meningioma and schwannoma management (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jonathan Schwartz is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Meningioma and schwannoma management (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jonathan Schwartz collaborates with scholars based in United States, Spain and Taiwan. Jonathan Schwartz's co-authors include Chwan‐Chuen King, Po‐Ren Hsueh, Muh‐Yong Yen, Wolfgang Schmidt-Nowara, Max Hirshkowitz, Milton K. Erman, David J. Daniels, Julian S. Rechberger, Soumen Khatua and Hagop Youssoufian and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Jonathan Schwartz

38 papers receiving 761 citations

Author Peers

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

Author Last Decade Papers Cites
Jonathan Schwartz 190 167 106 97 68 41 797
Regina Demlová 202 1.1× 245 1.5× 109 1.0× 162 1.7× 91 1.3× 66 779
Lisa Shah 195 1.0× 260 1.6× 65 0.6× 146 1.5× 41 0.6× 45 888
Mathieu Coudert 112 0.6× 87 0.5× 103 1.0× 72 0.7× 55 0.8× 39 817
Vivian Y. Chang 106 0.6× 328 2.0× 130 1.2× 72 0.7× 93 1.4× 42 1.0k
Jing Huang 223 1.2× 260 1.6× 138 1.3× 72 0.7× 131 1.9× 31 933
Ali Dabaja 137 0.7× 261 1.6× 219 2.1× 80 0.8× 47 0.7× 55 889
Joseph F. O’Donnell 199 1.0× 88 0.5× 134 1.3× 65 0.7× 22 0.3× 29 974
Candace L. Haddox 284 1.5× 212 1.3× 175 1.7× 66 0.7× 45 0.7× 32 924
Julian Barwell 120 0.6× 173 1.0× 48 0.5× 213 2.2× 37 0.5× 33 747
Roya Dolatkhah 300 1.6× 123 0.7× 122 1.2× 84 0.9× 21 0.3× 80 852

Countries citing papers authored by Jonathan Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Schwartz. A scholar is included among the top collaborators of Jonathan Schwartz 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 Schwartz. Jonathan Schwartz 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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