Michael E. Ramirez

714 citations
4 papers · 458 · h-index 4

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • Ubiquitin and proteasome pathways 1
    • Gene Regulatory Network Analysis 1
    • Cell death mechanisms and regulation 1
    • Cancer Genomics and Diagnostics 1
    • NF-κB Signaling Pathways 1

Michael E. Ramirez

4 papers receiving 454 citations

Peers

Michael E. Ramirez
Comparison fields: 5 of 60
  • Cancer Research 128
  • Oncology 149
  • Molecular Biology 273
  • Modeling and Simulation 17
  • Pulmonary and Respiratory Medicine 96
Replace Leanna S. Morinishi with:
Leanna S. Morinishi United States
Maike Roth United States
Arvind Singh Mer Canada
Zuan-Fu Lim United States
Amin Yaqubie United States
Simona Cristea United States
Wubin Zheng China
Jared S. Hierman United States
Nick A. Kuburich United States
Rosemary A Fryer United Kingdom
Michael E. Ramirez relative to Leanna S. Morinishi United States Leanna S. Morinishi's profile →
Citations per field
00.5×1.5×
Leanna S. Morinishi · 1×
Citations per year

Countries citing papers authored by Michael E. Ramirez

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Ramirez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael E. Ramirez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael E. Ramirez Line = papers co-authored together Michael E. Ramirez links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Michael E. Ramirez

Michael E. Ramirez is a scholar working on Molecular Biology, Cancer Research, Oncology, Physiology and Biotechnology, having authored 4 papers that have together received 458 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (2 papers), Cancer Research and Treatments (1 paper), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper), NF-κB Signaling Pathways (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Gene Regulatory Network Analysis (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Cancer Research (128 citations), Oncology (149 citations), Molecular Biology (273 citations), Modeling and Simulation (17 citations) and Pulmonary and Respiratory Medicine (96 citations). Michael E. Ramirez has collaborated with scholars based in United States and Brazil. Frequent co-authors include Lani F. Wu, Steven J. Altschuler, Robert J. Steininger, Louise Evans, Anwu Zhou, Kevin Thurley, Bruce A. Posner, Weiyue Ji, Maike Roth and Shuguang Wei. Their work appears in journals such as Nature Communications, Molecular Biology of the Cell, Molecular Cancer Research and Neoplasia.

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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