Erin Piazza

1.3k citations
8 papers · 189 · 1 hit paper · h-index 4

Impact in

    • Cell Image Analysis Techniques
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

    • Single-cell and spatial transcriptomics 4
    • Molecular Biology Techniques and Applications 3
    • Bioinformatics and Genomic Networks 1
    • Immunotherapy and Immune Responses 2

Erin Piazza

8 papers receiving 188 citations

Erin Piazza's Hit Papers

Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data 2022 · 141 citations
1410+1+2Years since publication4080120

Peers

Erin Piazza
Comparison fields: 5 of 55
  • Biophysics 17
  • Immunology 50
  • Biological Psychiatry 4
  • Oncology 42
  • Cancer Research 22
Replace Diana Shinko with:
Diana Shinko Australia
Abigail Knecht United States
Maigan A. Brusko United States
Nan W. Hultgren United States
Nadav Sharon Israel
Cameran Jones United States
Arthur Lewis United Kingdom
Ivana Apicella United States
Dongli Song China
Maoying Han China
Erin Piazza relative to Diana Shinko Australia Diana Shinko's profile →
Citations per field
00.5×1.5×
Diana Shinko · 1×
Citations per year

Countries citing papers authored by Erin Piazza

Since Specialization
Citations

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

Fields of papers citing papers by Erin Piazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data
Hit paper breakdown →
2022141
2 202026
3 20219
4 20236
5 20213
6 20192
7 20231
8 20201

About Erin Piazza

Erin Piazza is a scholar working on Molecular Biology, Immunology, Genetics, Biotechnology and Cancer Research, having authored 8 papers that have together received 189 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Molecular Biology Techniques and Applications (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Research and Treatments (2 papers), Immunotherapy and Immune Responses (2 papers), Virus-based gene therapy research (2 papers), CAR-T cell therapy research (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Biophysics (17 citations), Immunology (50 citations), Biological Psychiatry (4 citations), Oncology (42 citations) and Cancer Research (22 citations). Erin Piazza has collaborated with scholars based in United States and Germany. Frequent co-authors include Joseph Beechem, Patrick Danaher, Young‐Mi Kim, Zhi Yang, Kevin P. Kotredes, Lara M. Mangravite, Thanneer M. Perumal, Harriet M. Williams, Michael Sasner and Benjamin A. Logsdon. Their work appears in journals such as Cancer Research, Molecular Neurodegeneration, Nature Communications, PLoS ONE and SHILAP Revista de lepidopterología.

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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