George A. Dominguez

1.5k total citations
12 papers, 279 citations indexed

About

George A. Dominguez is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, George A. Dominguez has authored 12 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in George A. Dominguez's work include Immune cells in cancer (5 papers), Single-cell and spatial transcriptomics (2 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). George A. Dominguez is often cited by papers focused on Immune cells in cancer (5 papers), Single-cell and spatial transcriptomics (2 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). George A. Dominguez collaborates with scholars based in United States. George A. Dominguez's co-authors include Dmitry I. Gabrilovich, Ayumi Hashimoto, Daniel A. Hammer, Prasanna Kumar, Qin Liu, Fang Wang, Neil Hockstein, Sridevi Mony, Robert L. Witt and Nicholas R. Anderson and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Cancer Research.

In The Last Decade

George A. Dominguez

10 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George A. Dominguez United States 5 198 126 73 27 27 12 279
Anchana Rathinasamy Germany 8 203 1.0× 149 1.2× 89 1.2× 31 1.1× 6 0.2× 10 291
Ilona Berestjuk France 5 88 0.4× 95 0.8× 93 1.3× 18 0.7× 44 1.6× 5 231
Yoko Nishiga United States 3 182 0.9× 138 1.1× 109 1.5× 20 0.7× 4 0.1× 3 302
S Ferjancic United Kingdom 2 171 0.9× 180 1.4× 130 1.8× 39 1.4× 24 0.9× 2 357
Rishi R. Rampersad United States 9 155 0.8× 96 0.8× 123 1.7× 37 1.4× 17 0.6× 16 325
Marius Messemaker Switzerland 3 354 1.8× 216 1.7× 107 1.5× 33 1.2× 17 0.6× 3 460
Junya Peng China 7 80 0.4× 72 0.6× 172 2.4× 24 0.9× 16 0.6× 11 277
Chiara Svetlana Brambillasca Italy 5 105 0.5× 163 1.3× 120 1.6× 24 0.9× 31 1.1× 5 272
Soumya M. Turaga United States 9 78 0.4× 90 0.7× 147 2.0× 23 0.9× 16 0.6× 11 288
Irina Abécassis United States 6 154 0.8× 186 1.5× 147 2.0× 41 1.5× 21 0.8× 7 371

Countries citing papers authored by George A. Dominguez

Since Specialization
Citations

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

Fields of papers citing papers by George A. Dominguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George A. Dominguez. 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 George A. Dominguez. The network helps show where George A. Dominguez may publish in the future.

Co-authorship network of co-authors of George A. Dominguez

This figure shows the co-authorship network connecting the top 25 collaborators of George A. Dominguez. A scholar is included among the top collaborators of George A. Dominguez 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 George A. Dominguez. George A. Dominguez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Dominguez, George A., et al.. (2020). Detecting Prostate Cancer Using Pattern Recognition Neural Networks With Flow Cytometry-Based Immunophenotyping in At-Risk Men. Biomarker Insights. 15. 2138507972–2138507972. 3 indexed citations
2.
Dominguez, George A., et al.. (2020). Abstract A12: Combining the immunophenotyping of MDSCs and lymphocytes with artificial intelligence (AI) to predict early-stage breast cancer. Cancer Immunology Research. 8(4_Supplement). A12–A12.
3.
Dominguez, George A., et al.. (2020). Abstract B50: Using pattern recognition neural networks to detect prostate cancer: A new method to analyze flow cytometry-based immunophenotyping using machine learning. Clinical Cancer Research. 26(11_Supplement). B50–B50. 1 indexed citations
4.
Karakasheva, Tatiana A., George A. Dominguez, Ayumi Hashimoto, et al.. (2018). CD38+ M-MDSC expansion characterizes a subset of advanced colorectal cancer patients. JCI Insight. 3(6). 62 indexed citations
5.
Dominguez, George A., et al.. (2018). The coupling of MDSCs with a computational analytic method to detect solid tumors.. Journal of Clinical Oncology. 36(5_suppl). 24–24. 1 indexed citations
6.
Dominguez, George A., Thomas Condamine, Sridevi Mony, et al.. (2017). Abstract CT095: The selective targeting of myeloid-derived suppressor cells in cancer patients using an agonistic TRAIL-R2 antibody. Cancer Research. 77(13_Supplement). CT095–CT095. 1 indexed citations
7.
Dominguez, George A., Gary W. Falk, Gregory G. Ginsberg, et al.. (2017). Identification of Myeloid Derived Suppressor Cells in the Barrett’s Metaplasia to Esophageal Adenocarcinoma Sequence. Gastroenterology. 152(5). S234–S234. 1 indexed citations
8.
Dominguez, George A., Thomas Condamine, Sridevi Mony, et al.. (2016). Selective Targeting of Myeloid-Derived Suppressor Cells in Cancer Patients Using DS-8273a, an Agonistic TRAIL-R2 Antibody. Clinical Cancer Research. 23(12). 2942–2950. 152 indexed citations
9.
Johnson, Melissa L., Alex A. Adjei, Suresh S. Ramalingam, et al.. (2016). Preliminary results of ENCORE 601, a phase 1b/2, open-label study of entinostat (ENT) in combination with pembrolizumab (PEMBRO) in patients with non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 34(15_suppl). e20659–e20659. 9 indexed citations
10.
Dominguez, George A., Nicholas R. Anderson, & Daniel A. Hammer. (2015). The direction of migration of T-lymphocytes under flow depends upon which adhesion receptors are engaged. Integrative Biology. 7(3). 345–355. 40 indexed citations
11.
Dominguez, George A. & Daniel A. Hammer. (2014). Effect of adhesion and chemokine presentation on T-lymphocyte haptokinesis. Integrative Biology. 6(9). 862–873. 9 indexed citations
12.
Dominguez, George A., et al.. (1999). Angiogenesis and cancer: the contribution of organic chemistry. Clinical & Translational Oncology. 1(3).

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Anchana Rathinasamy Breakdown of academic impact, for papers by Ilona Berestjuk Breakdown of academic impact, for papers by Yoko Nishiga Breakdown of academic impact, for papers by S Ferjancic Breakdown of academic impact, for papers by Rishi R. Rampersad Breakdown of academic impact, for papers by Marius Messemaker Breakdown of academic impact, for papers by Junya Peng Breakdown of academic impact, for papers by Chiara Svetlana Brambillasca Breakdown of academic impact, for papers by Soumya M. Turaga Breakdown of academic impact, for papers by Irina Abécassis
Rankless by CCL
2026