Mitchell J. Elliott

71 total papers · 472 total citations
25 papers, 284 citations indexed

About

Mitchell J. Elliott is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mitchell J. Elliott has authored 25 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Cancer Research and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mitchell J. Elliott's work include Cancer Genomics and Diagnostics (9 papers), Advanced Breast Cancer Therapies (7 papers) and Genetic factors in colorectal cancer (5 papers). Mitchell J. Elliott is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Advanced Breast Cancer Therapies (7 papers) and Genetic factors in colorectal cancer (5 papers). Mitchell J. Elliott collaborates with scholars based in Canada, United States and Spain. Mitchell J. Elliott's co-authors include David W. Cescon, Benjamin Haibe‐Kains, Wail Ba-Alawi, Kelsie L. Thu, Jennifer Silvester, Tak W. Mak, Jennifer Cruickshank, Hal K. Berman, Zhaleh Safikhani and Alison P. McGuigan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Mitchell J. Elliott

23 papers receiving 280 citations

Author Peers

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

Author Last Decade Papers Cites
Mitchell J. Elliott 128 111 74 70 69 25 284
Tongyu Tong 113 0.9× 127 1.1× 67 0.9× 44 0.6× 60 0.9× 18 322
Lanqing Cao 65 0.5× 120 1.1× 59 0.8× 40 0.6× 48 0.7× 21 278
Cécile Blanc‐Fournier 114 0.9× 137 1.2× 48 0.6× 94 1.3× 38 0.6× 26 323
Jiří Navrátil 102 0.8× 182 1.6× 38 0.5× 120 1.7× 46 0.7× 28 324
Wanting Hou 119 0.9× 107 1.0× 72 1.0× 53 0.8× 35 0.5× 15 285
Ryan Robb 103 0.8× 142 1.3× 40 0.5× 62 0.9× 27 0.4× 18 273
Emilie Denicolaï 100 0.8× 133 1.2× 38 0.5× 72 1.0× 63 0.9× 17 321
Chunzhao Yu 115 0.9× 193 1.7× 41 0.6× 101 1.4× 28 0.4× 30 328
Man Li 83 0.6× 122 1.1× 57 0.8× 44 0.6× 62 0.9× 26 307
Federica Iannelli 84 0.7× 183 1.6× 68 0.9× 116 1.7× 37 0.5× 19 322

Countries citing papers authored by Mitchell J. Elliott

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell J. Elliott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell J. Elliott. 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 Mitchell J. Elliott. The network helps show where Mitchell J. Elliott may publish in the future.

Co-authorship network of co-authors of Mitchell J. Elliott

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell J. Elliott. A scholar is included among the top collaborators of Mitchell J. Elliott 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 Mitchell J. Elliott. Mitchell J. Elliott 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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