Daniel C. Cho

145 total papers · 3.2k total citations
61 papers, 1.7k citations indexed

About

Daniel C. Cho is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Daniel C. Cho has authored 61 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Oncology, 32 papers in Pulmonary and Respiratory Medicine and 26 papers in Molecular Biology. Recurrent topics in Daniel C. Cho's work include Renal cell carcinoma treatment (28 papers), Cancer Immunotherapy and Biomarkers (28 papers) and Renal and related cancers (9 papers). Daniel C. Cho is often cited by papers focused on Renal cell carcinoma treatment (28 papers), Cancer Immunotherapy and Biomarkers (28 papers) and Renal and related cancers (9 papers). Daniel C. Cho collaborates with scholars based in United States, United Kingdom and Canada. Daniel C. Cho's co-authors include Michael B. Atkins, David F. McDermott, Chiara Battelli, James W. Mier, Toni K. Choueiri, David J. Panka, Igor Puzanov, Sabina Signoretti, Ulka N. Vaishampayan and Jamal Tarazi and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Cancer.

In The Last Decade

Daniel C. Cho

61 papers receiving 1.6k citations

Hit Papers

Axitinib in combination w... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Daniel C. Cho 877 845 803 379 334 61 1.7k
Kathryn E. Beckermann 905 1.0× 887 1.0× 613 0.8× 472 1.2× 672 2.0× 57 2.0k
Masaki Hanibuchi 834 1.0× 797 0.9× 862 1.1× 225 0.6× 255 0.8× 104 1.9k
Heidrun Gevensleben 899 1.0× 952 1.1× 637 0.8× 537 1.4× 456 1.4× 56 2.1k
Chunyan Wu 1.0k 1.2× 601 0.7× 980 1.2× 578 1.5× 261 0.8× 67 1.9k
David A. Braun 1.0k 1.2× 867 1.0× 930 1.2× 580 1.5× 442 1.3× 92 2.0k
Carmen Belli 994 1.1× 542 0.6× 514 0.6× 396 1.0× 245 0.7× 59 1.6k
Shejuan An 601 0.7× 805 1.0× 721 0.9× 399 1.1× 234 0.7× 35 1.5k
Soji Kakiuchi 848 1.0× 997 1.2× 910 1.1× 313 0.8× 152 0.5× 41 1.9k
Patrick G. Pilié 1.0k 1.2× 1.1k 1.3× 397 0.5× 340 0.9× 227 0.7× 43 1.8k
Holger W. Hirte 978 1.1× 765 0.9× 432 0.5× 307 0.8× 271 0.8× 46 2.0k

Countries citing papers authored by Daniel C. Cho

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Cho

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