Edik M. Blais

78 total papers · 1.8k total citations
33 papers, 1.1k citations indexed

About

Edik M. Blais is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Edik M. Blais has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 17 papers in Cancer Research and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Edik M. Blais's work include Pancreatic and Hepatic Oncology Research (20 papers), Cancer Genomics and Diagnostics (17 papers) and Neuroendocrine Tumor Research Advances (7 papers). Edik M. Blais is often cited by papers focused on Pancreatic and Hepatic Oncology Research (20 papers), Cancer Genomics and Diagnostics (17 papers) and Neuroendocrine Tumor Research Advances (7 papers). Edik M. Blais collaborates with scholars based in United States and Colombia. Edik M. Blais's co-authors include Michael J. Pishvaian, Andrew Hendifar, Emanuel F. Petricoin, Vincent Chung, Davendra Sohal, Subha Madhavan, Jason A. Papin, Lynn M. Matrisian, Lola Rahib and Jonathan R. Brody and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Edik M. Blais

27 papers receiving 1.1k citations

Hit Papers

Overall survival in patie... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Edik M. Blais 672 492 377 179 119 33 1.1k
Nadia Dandachi 799 1.2× 507 1.0× 565 1.5× 213 1.2× 97 0.8× 57 1.5k
Eva Obermayr 508 0.8× 479 1.0× 324 0.9× 142 0.8× 115 1.0× 43 948
Mythili Shastry 687 1.0× 286 0.6× 384 1.0× 230 1.3× 69 0.6× 38 1.2k
Dingkong Liang 572 0.9× 439 0.9× 633 1.7× 145 0.8× 62 0.5× 21 1.1k
Jiangdong Qiu 513 0.8× 486 1.0× 572 1.5× 144 0.8× 110 0.9× 22 1.1k
Masahisa Ohkuma 731 1.1× 335 0.7× 489 1.3× 86 0.5× 73 0.6× 38 1.1k
Josef Srovnal 365 0.5× 518 1.1× 717 1.9× 162 0.9× 54 0.5× 53 1.3k
Xiaolu Ma 525 0.8× 267 0.5× 251 0.7× 135 0.8× 117 1.0× 42 1.1k
Eric Hau 322 0.5× 476 1.0× 424 1.1× 381 2.1× 128 1.1× 53 1.3k
Yitian Chen 462 0.7× 423 0.9× 576 1.5× 217 1.2× 69 0.6× 45 1.3k

Countries citing papers authored by Edik M. Blais

Since Specialization
Citations

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

Fields of papers citing papers by Edik M. Blais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edik M. Blais. 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 Edik M. Blais. The network helps show where Edik M. Blais may publish in the future.

Co-authorship network of co-authors of Edik M. Blais

This figure shows the co-authorship network connecting the top 25 collaborators of Edik M. Blais. A scholar is included among the top collaborators of Edik M. Blais 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 Edik M. Blais. Edik M. Blais 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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