Mia Mazer

746 citations
10 papers · 556 · h-index 4

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Virus-based gene therapy research
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Immunotherapy and Immune Responses 9
    • Cancer Immunotherapy and Biomarkers 4
    • CAR-T cell therapy research 4

Mia Mazer

10 papers receiving 550 citations

Peers

Mia Mazer
Comparison fields: 5 of 33
  • Genetics 271
  • Immunology 349
  • Oncology 330
  • Biotechnology 21
  • Cancer Research 26
Replace Adrian J. Giovannone with:
Adrian J. Giovannone United States
D. D. Bigner United States
Denise Lally-Goss United States
Jaime Richardson United States
Carol DePriest United States
Sabrina Genßler Germany
Andrew N. Cornforth United States
Alba Matas‐Céspedes Spain
S. Schmaus Germany
Abraham V. Nguyen United States
Mia Mazer relative to Adrian J. Giovannone United States Adrian J. Giovannone's profile →
Citations per field
00.5×1.5×1.9×
Adrian J. Giovannone · 1×
Citations per year

Countries citing papers authored by Mia Mazer

Since Specialization
Citations

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

Fields of papers citing papers by Mia Mazer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mia Mazer, 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 Mia Mazer Line = papers co-authored together Mia Mazer links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2012294
2 2008209
3 202039
4 20163
5 20113
6 20103
7 20092
8 20181
9 20151
10 20161

About Mia Mazer

Mia Mazer is a scholar working on Immunology, Oncology, Molecular Biology, Genetics and Surgery, having authored 10 papers that have together received 556 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (4 papers), RNA Interference and Gene Delivery (4 papers), Glioma Diagnosis and Treatment (3 papers), Vascular Malformations Diagnosis and Treatment (1 paper), Retinal and Macular Surgery (1 paper) and Vascular Malformations and Hemangiomas (1 paper). The work is most often cited by research in Genetics (271 citations), Immunology (349 citations), Oncology (330 citations), Biotechnology (21 citations) and Cancer Research (26 citations). Mia Mazer has collaborated with scholars based in United States. Frequent co-authors include Keith L. Black, John S. Yu, Christopher J. Wheeler, Miriam Nuño, Surasak Phuphanich, Jeremy Rudnick, Ray Chu, Dennis Goldfinger, Samuel H. Pepkowitz and Gentao Liu. Their work appears in journals such as Neuro-Oncology, Journal of Clinical Oncology, Cancer Immunology Immunotherapy, Cancer Research and Journal of Clinical Neuroscience.

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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