Julia Song

25 total papers · 2.3k total citations
13 papers, 867 citations indexed

About

Julia Song is a scholar working on Oncology, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Julia Song has authored 13 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in General Health Professions and 3 papers in Economics and Econometrics. Recurrent topics in Julia Song's work include Global Cancer Incidence and Screening (4 papers), Patient-Provider Communication in Healthcare (3 papers) and Economic and Financial Impacts of Cancer (2 papers). Julia Song is often cited by papers focused on Global Cancer Incidence and Screening (4 papers), Patient-Provider Communication in Healthcare (3 papers) and Economic and Financial Impacts of Cancer (2 papers). Julia Song collaborates with scholars based in United States, Switzerland and Belgium. Julia Song's co-authors include João Pires, Marius Gilbert, Sebastian Bonhoeffer, Thomas P. Van Boeckel, Cheng Zhao, Reshma Silvester, Nicola G. Criscuolo, Ramanan Laxminarayan, Marie‐Anne Durand and Paul Barr and has published in prestigious journals such as Science, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Julia Song

11 papers receiving 855 citations

Hit Papers

Global trends in antimicr... 2019 2026 2021 2023 2019 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Julia Song 326 269 148 140 137 13 867
Alicia J. Polachek 328 1.0× 237 0.9× 169 1.1× 146 1.0× 98 0.7× 14 815
Nishan Sharma 328 1.0× 237 0.9× 169 1.1× 146 1.0× 98 0.7× 24 881
Nicola G. Criscuolo 360 1.1× 298 1.1× 170 1.1× 150 1.1× 149 1.1× 13 936
Bram van Bunnik 454 1.4× 450 1.7× 156 1.1× 257 1.8× 187 1.4× 23 1.0k
Niamh Caffrey 363 1.1× 270 1.0× 218 1.5× 151 1.1× 109 0.8× 24 959
Isabel Frost 149 0.5× 320 1.2× 55 0.4× 258 1.8× 179 1.3× 19 900
Maurizio Ferri 146 0.4× 217 0.8× 187 1.3× 123 0.9× 210 1.5× 10 822
Stefan S. Olsen 216 0.7× 352 1.3× 220 1.5× 94 0.7× 97 0.7× 15 837
María Camila Montealegre 156 0.5× 363 1.3× 89 0.6× 117 0.8× 307 2.2× 27 928
Alejandro Dorado-García 399 1.2× 389 1.4× 140 0.9× 214 1.5× 127 0.9× 18 903

Countries citing papers authored by Julia Song

Since Specialization
Citations

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

Fields of papers citing papers by Julia Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Song

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