Tina C. Young

54 total papers · 1.9k total citations
18 papers, 1.0k citations indexed

About

Tina C. Young is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Tina C. Young has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 9 papers in Pulmonary and Respiratory Medicine and 4 papers in Immunology. Recurrent topics in Tina C. Young's work include Cancer Immunotherapy and Biomarkers (12 papers), Renal cell carcinoma treatment (3 papers) and CAR-T cell therapy research (3 papers). Tina C. Young is often cited by papers focused on Cancer Immunotherapy and Biomarkers (12 papers), Renal cell carcinoma treatment (3 papers) and CAR-T cell therapy research (3 papers). Tina C. Young collaborates with scholars based in United States, Canada and Germany. Tina C. Young's co-authors include Scott A. Laurie, David E. Gerber, William J. Geese, Rosalyn A. Juergens, Frances A. Shepherd, Scott Antonia, Matthew D. Hellmann, Scott Gettinger, Hossein Borghaei and Laura Q.M. Chow and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and The Lancet Oncology.

In The Last Decade

Tina C. Young

18 papers receiving 1.0k citations

Hit Papers

Nivolumab plus ipilimumab... 2016 2026 2019 2022 2016 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
Tina C. Young 914 563 268 139 126 18 1.0k
Chuanyong Mu 762 0.8× 352 0.6× 377 1.4× 154 1.1× 114 0.9× 24 962
Yanna Tang 877 1.0× 613 1.1× 184 0.7× 168 1.2× 138 1.1× 15 1.1k
Virginie Poulot 845 0.9× 462 0.8× 591 2.2× 152 1.1× 103 0.8× 20 1.2k
Daniel Carvajal 932 1.0× 403 0.7× 367 1.4× 91 0.7× 111 0.9× 8 1.0k
Cory Batenchuk 659 0.7× 353 0.6× 186 0.7× 135 1.0× 182 1.4× 16 878
Mariacarla Andreozzi 605 0.7× 406 0.7× 176 0.7× 177 1.3× 150 1.2× 19 800
Meiji Itakura 458 0.5× 660 1.2× 275 1.0× 123 0.9× 65 0.5× 22 1.0k
Johnathan Man 990 1.1× 843 1.5× 151 0.6× 134 1.0× 177 1.4× 11 1.1k
Sirisha L. Mushti 691 0.8× 308 0.5× 215 0.8× 149 1.1× 133 1.1× 16 916
Jerónimo Rafael Rodríguez‐Cid 951 1.0× 736 1.3× 129 0.5× 85 0.6× 74 0.6× 31 1.1k

Countries citing papers authored by Tina C. Young

Since Specialization
Citations

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

Fields of papers citing papers by Tina C. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tina C. Young. 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 Tina C. Young. The network helps show where Tina C. Young may publish in the future.

Co-authorship network of co-authors of Tina C. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Tina C. Young. A scholar is included among the top collaborators of Tina C. Young 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 Tina C. Young. Tina C. Young 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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