Carmen Say

64 total papers · 3.1k total citations
10 papers, 1.0k citations indexed

About

Carmen Say is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Carmen Say has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Molecular Biology. Recurrent topics in Carmen Say's work include Cancer Genomics and Diagnostics (5 papers), Lung Cancer Treatments and Mutations (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Carmen Say is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Lung Cancer Treatments and Mutations (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Carmen Say collaborates with scholars based in United States, Canada and Türkiye. Carmen Say's co-authors include Maximilian Diehn, Henning Stehr, Alexander F. Lovejoy, Aaron M. Newman, Billy W. Loo, Li Zhou, Robert B. West, Ash A. Alizadeh, Justin N. Carter and Scott V. Bratman and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Carmen Say

8 papers receiving 1.0k citations

Hit Papers

Integrated digital error ... 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
Carmen Say 731 468 405 375 200 10 1.0k
Justin N. Carter 743 1.0× 461 1.0× 434 1.1× 357 1.0× 197 1.0× 10 1.0k
Neal Lindeman 636 0.9× 295 0.6× 369 0.9× 336 0.9× 213 1.1× 9 911
Cathy Ratcliffe 531 0.7× 562 1.2× 449 1.1× 311 0.8× 143 0.7× 12 1.1k
Andrew J. Rowan 489 0.7× 559 1.2× 223 0.6× 326 0.9× 128 0.6× 12 1.0k
Jerry Haney 361 0.5× 848 1.8× 297 0.7× 482 1.3× 161 0.8× 12 1.2k
Karine Pallier 428 0.6× 423 0.9× 307 0.8× 336 0.9× 196 1.0× 11 876
Fanny Rolet 769 1.1× 422 0.9× 289 0.7× 407 1.1× 300 1.5× 6 957
Alexander Penson 350 0.5× 445 1.0× 317 0.8× 360 1.0× 90 0.5× 12 893
Allison Hills 605 0.8× 423 0.9× 212 0.5× 416 1.1× 111 0.6× 12 855
Lucy Gossage 523 0.7× 860 1.8× 413 1.0× 258 0.7× 71 0.4× 12 1.2k

Countries citing papers authored by Carmen Say

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Say

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Say

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