Arturo B. Ramirez

531 total citations
32 papers, 399 citations indexed

About

Arturo B. Ramirez is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Arturo B. Ramirez has authored 32 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 19 papers in Cancer Research and 9 papers in Molecular Biology. Recurrent topics in Arturo B. Ramirez's work include Cancer Cells and Metastasis (17 papers), Cancer Genomics and Diagnostics (17 papers) and 3D Printing in Biomedical Research (5 papers). Arturo B. Ramirez is often cited by papers focused on Cancer Cells and Metastasis (17 papers), Cancer Genomics and Diagnostics (17 papers) and 3D Printing in Biomedical Research (5 papers). Arturo B. Ramirez collaborates with scholars based in United States, Spain and South Africa. Arturo B. Ramirez's co-authors include Eric Kaldjian, Daniel Campton, Paul D. Lampe, Paulina Varshavskaya, C. Anthony Blau, Jackie L. Stilwell, Joshua J. Nordberg, Daniel E. Sabath, Martin McIntosh and Michael O. Dorschner and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Arturo B. Ramirez

29 papers receiving 389 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arturo B. Ramirez United States 11 250 199 132 76 74 32 399
Kiki Andree Netherlands 10 338 1.4× 224 1.1× 130 1.0× 89 1.2× 182 2.5× 19 522
Gayatri Premasekharan United States 10 306 1.2× 212 1.1× 114 0.9× 151 2.0× 64 0.9× 14 489
Maya Dadiani Israel 12 145 0.6× 136 0.7× 201 1.5× 61 0.8× 25 0.3× 22 411
Haixu Hu China 8 206 0.8× 129 0.6× 134 1.0× 99 1.3× 120 1.6× 15 373
Silvia Bessi Italy 9 452 1.8× 354 1.8× 106 0.8× 142 1.9× 75 1.0× 14 566
Robert Konschak Germany 9 241 1.0× 189 0.9× 120 0.9× 102 1.3× 33 0.4× 12 397
Daniel Campton United States 5 180 0.7× 150 0.8× 83 0.6× 58 0.8× 71 1.0× 10 277
Cathy C. Zhang United States 11 196 0.8× 91 0.5× 288 2.2× 52 0.7× 21 0.3× 13 464
Irene Ogden United States 8 217 0.9× 164 0.8× 226 1.7× 128 1.7× 56 0.8× 11 469
Renée Foekens Netherlands 10 252 1.0× 157 0.8× 127 1.0× 79 1.0× 45 0.6× 12 458

Countries citing papers authored by Arturo B. Ramirez

Since Specialization
Citations

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

Fields of papers citing papers by Arturo B. Ramirez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arturo B. Ramirez. 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 Arturo B. Ramirez. The network helps show where Arturo B. Ramirez may publish in the future.

Co-authorship network of co-authors of Arturo B. Ramirez

This figure shows the co-authorship network connecting the top 25 collaborators of Arturo B. Ramirez. A scholar is included among the top collaborators of Arturo B. Ramirez 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 Arturo B. Ramirez. Arturo B. Ramirez 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.
Ramirez, Arturo B., et al.. (2025). PRISM: Parameter Recovery Identification from Synthetic Modeling. PubMed. 2025. 1396–1402. 1 indexed citations
2.
Ramirez, Arturo B., et al.. (2023). Circulating tumour cell enumeration, biomarker analyses, and kinetics in patients with colorectal cancer and other GI malignancies. Frontiers in Oncology. 13. 1305181–1305181. 8 indexed citations
3.
Rosenblatt, Russell, et al.. (2023). Liquid biopsy kinetics and detection of ERBB2 amplification/HER2-positivity in refractory hepatocellular carcinoma. SHILAP Revista de lepidopterología. 2. 100009–100009. 1 indexed citations
4.
Yeo, Dannel, Steven Kao, Ruta Gupta, et al.. (2023). Accurate isolation and detection of circulating tumor cells using enrichment-free multiparametric high resolution imaging. Frontiers in Oncology. 13. 1141228–1141228. 12 indexed citations
5.
Kennedy, Laura C., Jun Lü, Arturo B. Ramirez, et al.. (2022). Liquid Biopsy Assessment of Circulating Tumor Cell PD-L1 and IRF-1 Expression in Patients with Advanced Solid Tumors Receiving Immune Checkpoint Inhibitor. Targeted Oncology. 17(3). 329–341. 3 indexed citations
6.
Kaldjian, Eric, et al.. (2022). Beyond Circulating Tumor Cell Enumeration: Cell-Based Liquid Biopsy to Assess Protein Biomarkers and Cancer Genomics Using the RareCyte® Platform. Frontiers in Pharmacology. 13. 835727–835727. 8 indexed citations
7.
Kopparapu, Prasad, Edward Chin Man Lo, Yingjun Yan, et al.. (2022). Abstract 3375: Molecular subtyping of circulating tumor cells in patients with small cell lung cancer. Cancer Research. 82(12_Supplement). 3375–3375. 1 indexed citations
8.
Sabath, Daniel E., Kam Chiu Tam, Michael Hardin, et al.. (2022). Clinical Validation of a Circulating Tumor Cell Assay Using Density Centrifugation and Automated Immunofluorescence Microscopy. American Journal of Clinical Pathology. 158(2). 270–276. 8 indexed citations
9.
10.
Kennedy, Laura C., Arturo B. Ramirez, Lance U’Ren, et al.. (2019). Circulating tumor cell (CTC) PD-L1 and interferon regulatory factor-1 (IRF-1) expression as biomarkers of anti-PD-(L)1 response.. Journal of Clinical Oncology. 37(15_suppl). e14032–e14032.
11.
12.
Stilwell, Jackie L., Paulina Varshavskaya, Joshua J. Nordberg, et al.. (2017). RareCyte® CTC Analysis Step 3: Using the CytePicker® Module for Individual Cell Retrieval and Subsequent Whole Genome Amplification of Circulating Tumor Cells for Genomic Analysis. Methods in molecular biology. 1634. 181–192. 5 indexed citations
13.
Ramirez, Arturo B., Lance U’Ren, Daniel Campton, et al.. (2017). RareCyte® CTC Analysis Step 1: AccuCyte® Sample Preparation for the Comprehensive Recovery of Nucleated Cells from Whole Blood. Methods in molecular biology. 1634. 163–172. 16 indexed citations
14.
15.
Stilwell, Jackie L., Arturo B. Ramirez, Daniel Campton, et al.. (2015). Abstract 1601: Clinical performance of the AccuCyte® - CyteFinder® System, a dual-technology platform for comprehensive collection and high resolution imaging of circulating tumor cells. Cancer Research. 75(15_Supplement). 1601–1601. 7 indexed citations
16.
Li, Christopher I., Yuzheng Zhang, Arturo B. Ramirez, et al.. (2012). Discovery and preliminary confirmation of novel early detection biomarkers for triple-negative breast cancer using preclinical plasma samples from the Women’s Health Initiative observational study. Breast Cancer Research and Treatment. 135(2). 611–618. 18 indexed citations
17.
Ramirez, Arturo B., Christian Loc’h, Yuzheng Zhang, et al.. (2010). Use of a Single-Chain Antibody Library for Ovarian Cancer Biomarker Discovery. Molecular & Cellular Proteomics. 9(7). 1449–1460. 32 indexed citations
18.
Scholler, Nathalie, Barbara Garvik, Lance Wells, et al.. (2008). Use of cancer-specific yeast-secreted in vivo biotinylated recombinant antibodies for serum biomarker discovery. Journal of Translational Medicine. 6(1). 41–41. 21 indexed citations
19.
Loc’h, Christian, Arturo B. Ramirez, Yan Liu, et al.. (2007). Use of high density antibody arrays to validate and discover cancer serum biomarkers. Molecular Oncology. 1(3). 313–320. 30 indexed citations
20.

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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