Kevin Diao

55 total papers · 588 total citations
36 papers, 416 citations indexed

About

Kevin Diao is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Kevin Diao has authored 36 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 14 papers in Pulmonary and Respiratory Medicine and 10 papers in Surgery. Recurrent topics in Kevin Diao's work include Breast Cancer Treatment Studies (8 papers), Brain Metastases and Treatment (5 papers) and Advances in Oncology and Radiotherapy (5 papers). Kevin Diao is often cited by papers focused on Breast Cancer Treatment Studies (8 papers), Brain Metastases and Treatment (5 papers) and Advances in Oncology and Radiotherapy (5 papers). Kevin Diao collaborates with scholars based in United States, New Zealand and Canada. Kevin Diao's co-authors include Gabriel Zada, Eric L. Chang, David M. Routman, Shelly X. Bian, Yu Cheng, Michael K. Wong, Naveed Wagle, Jason C. Ye, Paul E. Kim and Benjamin D. Smith and has published in prestigious journals such as Cancer, Annals of Surgery and Journal of neurosurgery.

In The Last Decade

Kevin Diao

34 papers receiving 412 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin Diao 239 207 100 96 39 36 416
S. Caldiera 145 0.6× 173 0.8× 51 0.5× 59 0.6× 25 0.6× 22 467
Shripad Banavali 179 0.7× 144 0.7× 78 0.8× 37 0.4× 105 2.7× 36 480
Brian De 193 0.8× 109 0.5× 176 1.8× 53 0.6× 28 0.7× 53 406
F Ménégoz 159 0.7× 214 1.0× 94 0.9× 36 0.4× 58 1.5× 36 480
Sunil W. Dutta 169 0.7× 123 0.6× 85 0.8× 115 1.2× 34 0.9× 49 476
Anthea Lau 154 0.6× 157 0.8× 35 0.3× 127 1.3× 105 2.7× 28 411
Joseph A. Miccio 182 0.8× 168 0.8× 113 1.1× 19 0.2× 23 0.6× 43 414
Ümit Tapan 116 0.5× 176 0.9× 61 0.6× 37 0.4× 38 1.0× 39 422
S. Rafla 153 0.6× 179 0.9× 151 1.5× 32 0.3× 49 1.3× 27 469
Raj Singh 259 1.1× 176 0.9× 104 1.0× 105 1.1× 41 1.1× 50 473

Countries citing papers authored by Kevin Diao

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Diao

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