Amber Heath

1.7k citations
5 papers · 1.2k indexed · 2 hit papers · h-index 4

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Cancer Cells and Metastasis

Papers in

    • MicroRNA in disease regulation 2
    • Cancer, Hypoxia, and Metabolism 2
    • Cancer-related molecular mechanisms research 1
    • Cancer Cells and Metastasis 5
    • Cancer-related Molecular Pathways 1

Amber Heath

5 papers receiving 1.1k citations

Hit Papers

Antiangiogenic agents increase breast cancer stem cells via the generation of tumor hypoxia 2012 · 521 citations
5212011202620162021100200300400500

Peers

Amber Heath
Comparison fields: 5 of 71
  • Cancer Research 558
  • Oncology 719
  • Genetics 195
  • Molecular Biology 598
  • Biotechnology 62
Replace Robert J. Vanner with:
Robert J. Vanner Canada
Juliane von der Ohe Germany
Catharina Melzer Germany
Albert Santamaria‐Martínez Switzerland
Awad Jarrar United States
Nadia Zanetti Italy
Demirkan Gursel United States
Mark J. Hynes United States
A. J. A. Terzis Germany
Verlene Henry United States
Amber Heath relative to Robert J. Vanner Canada Robert J. Vanner's profile →
Citations per field
00.5×1.5×2.1×
Robert J. Vanner · 1×
Citations per year

Countries citing papers authored by Amber Heath

Since Specialization
Citations

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

Fields of papers citing papers by Amber Heath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amber Heath. 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 Amber Heath. The network helps show where Amber Heath may publish in the future.

Co-authors

The 24 scholars most cited alongside Amber Heath, 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 Amber Heath Line = papers co-authored together Amber Heath links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2012137
2
Antiangiogenic agents increase breast cancer stem cells via the generation of tumor hypoxia
Hit paper breakdown →
2012521
3
Breast Cancer Stem Cells Are Regulated by Mesenchymal Stem Cells through Cytokine Networks
Hit paper breakdown →
2011495
4 20113
5 20102

About Amber Heath

Amber Heath is a scholar working on Cancer Research, Oncology, Biotechnology, Genetics and Psychiatry and Mental health, having authored 5 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), MicroRNA in disease regulation (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer-related molecular mechanisms research (1 paper), Cancer-related Molecular Pathways (1 paper), Cancer Research and Treatments (1 paper), Mesenchymal stem cell research (1 paper) and Cancer, Stress, Anesthesia, and Immune Response (1 paper). The work is most often cited by research in Cancer Research (558 citations), Oncology (719 citations), Genetics (195 citations), Molecular Biology (598 citations) and Biotechnology (62 citations). Amber Heath has collaborated with scholars based in United States and France. Frequent co-authors include Max S. Wicha, Shawn G. Clouthier, Hasan Körkaya, Sarah J. Conley, Bryan Newman, Christophe Ginestier, Shivani Patel, Sing J. Ou, Suling Liu and Gabriela Dontu. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences and PLoS Genetics.

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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