Carlos J. Suarez

3.8k total citations · 2 hit papers
93 papers, 2.4k 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 2.4k 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, Billy T. Lau, Anuja Sathe, Susan M. Grimes, John P. Quinn, Karen Lolans, George A. Poultsides, Benjamin A. Pinsky and Martina I. Lefterova and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Carlos J. Suarez

86 papers receiving 2.3k citations

Hit Papers

Quantitative evidence for early metastatic seeding in col... 2019 2026 2021 2023 2019 2022 50 100 150 200 250

Peers

Carlos J. Suarez
Deepak Narayan United States
Avi Z. Rosenberg United States
Moon‐Woo Seong South Korea
Nan Tang China
Nicolas M. Orsi United Kingdom
Jong Rak Choi South Korea
Tae‐Hyoung Kim South Korea
Deepak Narayan United States
Carlos J. Suarez
Citations per year, relative to Carlos J. Suarez Carlos J. Suarez (= 1×) peers Deepak Narayan

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

20 of 20 papers shown
1.
Leon, Annette, N. Sertac Kip, Angshumoy Roy, et al.. (2025). Clinical Bioinformatician Body of Knowledge—Molecular Diagnostics Core. Journal of Molecular Diagnostics. 27(7). 546–565. 2 indexed citations
2.
Chen, Simon, et al.. (2025). Rapid clinical deployment of UBA1 testing in patients with VEXAS syndrome. American Journal of Clinical Pathology. 164(3). 360–366.
3.
Fernandez‐Pol, Sebastian, Henning Stehr, Carlos J. Suarez, et al.. (2025). MDM2 inhibition is associated with the emergence of TP53-altered clonal hematopoiesis. npj Precision Oncology. 9(1). 34–34. 2 indexed citations
5.
McHenry, Austin, Kelly A. Devereaux, Stephanie Chow, et al.. (2024). Molecular classification of metastatic and recurrent endometrial endometrioid carcinoma: prognostic relevance among low‐ and high‐stage tumours. Histopathology. 85(4). 614–626. 1 indexed citations
6.
Boroujeni, Amir Momeni, et al.. (2024). POLE-Mutated Uterine Carcinosarcomas: A Clinicopathologic and Molecular Study of 11 Cases. Modern Pathology. 38(3). 100676–100676. 2 indexed citations
7.
Khanna, Vishesh, Sebastian Fernandez‐Pol, Henning Stehr, et al.. (2024). MDM2 inhibition is associated with the emergence of TP53-altered clonal hematopoiesis. 1 indexed citations
8.
Truty, Rebecca, Susan Rojahn, Karen Ouyang, et al.. (2023). Patterns of mosaicism for sequence and copy-number variants discovered through clinical deep sequencing of disease-related genes in one million individuals. The American Journal of Human Genetics. 110(4). 551–564. 8 indexed citations
9.
King, Daniel A., et al.. (2023). Therapeutic Implications of Oncogenic Missense HER2 (ERBB2) Mutations in Gastric Adenocarcinoma. JCO Precision Oncology. 7(7). e2200093–e2200093. 2 indexed citations
10.
Sathe, Anuja, Susan M. Grimes, Zilu Zhou, et al.. (2022). Colorectal Cancer Metastases in the Liver Establish Immunosuppressive Spatial Networking between Tumor-Associated SPP1 + Macrophages and Fibroblasts. Clinical Cancer Research. 29(1). 244–260. 104 indexed citations
11.
Kunz, Pamela L., Noah Graham, Paul J. Catalano, et al.. (2022). Randomized Study of Temozolomide or Temozolomide and Capecitabine in Patients With Advanced Pancreatic Neuroendocrine Tumors (ECOG-ACRIN E2211). Journal of Clinical Oncology. 41(7). 1359–1369. 125 indexed citations breakdown →
12.
Duncavage, Eric J., Joshua F. Coleman, Monica E. de Baca, et al.. (2022). Recommendations for the Use of in Silico Approaches for Next-Generation Sequencing Bioinformatic Pipeline Validation. Journal of Molecular Diagnostics. 25(1). 3–16. 13 indexed citations
13.
Devereaux, Kelly A., David F. Steiner, Adam J. Gomez, et al.. (2021). A Multiplex SNaPshot Assay is a Rapid and Cost-Effective Method for Detecting POLE Exonuclease Domain Mutations in Endometrial Carcinoma. International Journal of Gynecological Pathology. 41(6). 541–551. 18 indexed citations
14.
Devereaux, Kelly A., Jennifer Pors, David F. Steiner, et al.. (2021). Prospective molecular classification of endometrial carcinomas: institutional implementation, practice, and clinical experience. Modern Pathology. 35(5). 688–696. 37 indexed citations
15.
Sathe, Anuja, Susan M. Grimes, Billy T. Lau, et al.. (2020). Single-Cell Genomic Characterization Reveals the Cellular Reprogramming of the Gastric Tumor Microenvironment. Clinical Cancer Research. 26(11). 2640–2653. 229 indexed citations
16.
Caswell‐Jin, Jennifer L., Katherine McNamara, Johannes G. Reiter, et al.. (2019). Clonal replacement and heterogeneity in breast tumors treated with neoadjuvant HER2-targeted therapy. Nature Communications. 10(1). 657–657. 40 indexed citations
17.
Suarez, Carlos J.. (2012). Reseña de Cariba malo. Episodios de resistencia de un pueblo indígena aislado del Amazonas. Roberto Franco. Leticia: Universidad Nacional de Colombia, 2012.. Americanae (AECID Library). 1 indexed citations
18.
Nakajima, Takeshi, Carlos J. Suarez, Jan E. Schnitzer, et al.. (2010). T Cell Pathways Involving CTLA4 Contribute To a Model of Acute Lung Injury. The Journal of Immunology. 184(10). 5835–5841. 49 indexed citations
19.
Suarez, Carlos J., et al.. (2008). Por una Bogotá sin mugre: violencia, vida y muerte en la cloaca urbana. SHILAP Revista de lepidopterología. 12 indexed citations
20.
Suarez, Carlos J., Juan Nicolás Kattán, Ana María Guzmán, & María Virginia Villegas. (2006). Mecanismos de resistencia a carbapenems en P. aeruginosa, Acinetobacter y Enterobacteriaceae y estrategias para su prevención y control. Infectio. 10(2). 85–93. 10 indexed citations

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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