Amber Beyer

488 citations
4 papers · 345 · 1 hit paper · h-index 4

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • CAR-T cell therapy research 1
    • Cancer Cells and Metastasis 1
    • Immunotherapy and Immune Responses 3

Amber Beyer

4 papers receiving 335 citations

Amber Beyer's Hit Papers

Differentiation and Regulation of TH Cells: A Balancing Act for Cancer Immunotherapy 2021 · 225 citations
2250+1+3Years since publication50100150200

Peers

Amber Beyer
Comparison fields: 5 of 80
  • Immunology 158
  • Oncology 153
  • Cancer Research 46
  • Pulmonary and Respiratory Medicine 59
  • History and Philosophy of Science 8
Replace Guillermo O. Rangel Rivera with:
Guillermo O. Rangel Rivera United States
Rebecca Wijers Netherlands
Iñaki Eguren‐Santamaría Spain
Xile Zhou China
Douglas K. Marks United States
Jimin Son South Korea
Valerio D’Alicandro Italy
Wout de Mey Belgium
Lieke L. van der Woude Netherlands
Vishaka Gopalan United States
Amber Beyer relative to Guillermo O. Rangel Rivera United States Guillermo O. Rangel Rivera's profile →
Citations per field
00.5×4.5×
Guillermo O. Rangel Rivera · 1×
Citations per year

Countries citing papers authored by Amber Beyer

Since Specialization
Citations

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

Fields of papers citing papers by Amber Beyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Amber Beyer, 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 Beyer Line = papers co-authored together Amber Beyer links everyone, so they are left out of the graph.

All Works

About Amber Beyer

Amber Beyer is a scholar working on Oncology, Immunology, History and Philosophy of Science, Genetics and Cancer Research, having authored 4 papers that have together received 345 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), CAR-T cell therapy research (1 paper), Cancer Genomics and Diagnostics (1 paper), Cancer Cells and Metastasis (1 paper), Forensic and Genetic Research (1 paper), Philosophy and History of Science (1 paper) and Race, Genetics, and Society (1 paper). The work is most often cited by research in Immunology (158 citations), Oncology (153 citations), Cancer Research (46 citations), Pulmonary and Respiratory Medicine (59 citations) and History and Philosophy of Science (8 citations). Amber Beyer has collaborated with scholars based in United States and China. Frequent co-authors include Ganesan Ramamoorthi, Brian J. Czerniecki, Colin Snyder, Amrita Basu, Krithika N. Kodumudi, Gabriella Albert, Corey Gallen, Gary K. Koski, Mary L. Disis and Jiannbin Lee Shiao. Their work appears in journals such as Frontiers in Immunology, Sociological Theory and Seminars in Cancer Biology.

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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