Carlos J. Suarez

196 total papers · 3.8k total citations
93 papers, 2.3k citations indexed

About

Carlos J. Suarez is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Carlos J. Suarez has authored 93 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Oncology and 19 papers in Cancer Research. Recurrent topics in Carlos J. Suarez's work include Cancer Genomics and Diagnostics (18 papers), Computational Fluid Dynamics and Aerodynamics (12 papers) and Genetic factors in colorectal cancer (10 papers). Carlos J. Suarez is often cited by papers focused on Cancer Genomics and Diagnostics (18 papers), Computational Fluid Dynamics and Aerodynamics (12 papers) and Genetic factors in colorectal cancer (10 papers). Carlos J. Suarez collaborates with scholars based in United States, Colombia and Spain. Carlos J. Suarez's co-authors include Hanlee P. Ji, María Virginia Villegas, Susan M. Grimes, John P. Quinn, Karen Lolans, Anuja Sathe, Billy T. Lau, George A. Poultsides, Martina I. Lefterova and Gerald N. Malcolm and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Carlos J. Suarez

84 papers receiving 2.3k citations

Hit Papers

Quantitative evidence for... 2019 2026 2021 2023 2019 2022 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
Carlos J. Suarez 782 689 433 399 276 93 2.3k
Kyungja Han 708 0.9× 400 0.6× 309 0.7× 111 0.3× 176 0.6× 158 2.4k
Hany Ariffin 868 1.1× 510 0.7× 144 0.3× 307 0.8× 97 0.4× 112 2.3k
Xiaoyun Yang 798 1.0× 255 0.4× 163 0.4× 580 1.5× 161 0.6× 87 1.8k
Yunbao Pan 1.5k 2.0× 645 0.9× 190 0.4× 773 1.9× 49 0.2× 88 2.9k
Shuying Liu 685 0.9× 435 0.6× 306 0.7× 155 0.4× 48 0.2× 85 2.7k
Yoko Tabe 1.3k 1.7× 542 0.8× 219 0.5× 361 0.9× 46 0.2× 164 2.9k
Jianhui Chen 856 1.1× 538 0.8× 305 0.7× 301 0.8× 93 0.3× 116 2.2k
Atsuhisa Ueda 1.1k 1.3× 326 0.5× 269 0.6× 204 0.5× 41 0.1× 90 2.6k
Jinbo Liu 865 1.1× 513 0.7× 253 0.6× 414 1.0× 237 0.9× 142 2.3k
Jae Jin Lee 653 0.8× 347 0.5× 290 0.7× 133 0.3× 154 0.6× 107 1.7k

Countries citing papers authored by Carlos J. Suarez

Since Specialization
Citations

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

Fields of papers citing papers by Carlos J. Suarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos J. Suarez

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