Edith Palmieri

629 citations
7 papers · 503 · h-index 6

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 4
    • Immune Response and Inflammation 1
    • CAR-T cell therapy research 2
    • Cancer Immunotherapy and Biomarkers 1

Edith Palmieri

7 papers receiving 497 citations

Peers

Edith Palmieri
Comparison fields: 5 of 48
  • Immunology 406
  • Oncology 184
  • Radiology, Nuclear Medicine and Imaging 98
  • Immunology and Allergy 15
  • Endocrinology 8
Replace M. Moser with:
M. Moser Austria
Chunning Yang United States
Alfred E. Slanetz United States
B.A. Van Krimpen Netherlands
R F Wang United States
Margit Haahr Hansen United States
C W Pierce United States
Bee-Cheng Sim United States
D Landais France
Dominique Mège France
Edith Palmieri relative to M. Moser Austria M. Moser's profile →
Citations per field
00.5×2.9×
M. Moser · 1×
Citations per year

Countries citing papers authored by Edith Palmieri

Since Specialization
Citations

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

Fields of papers citing papers by Edith Palmieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2001252
2 2005130
3 201749
4 200233
5 200026
6 199710
7 20103

About Edith Palmieri

Edith Palmieri is a scholar working on Immunology, Oncology, Molecular Biology, Cell Biology and Genetics, having authored 7 papers that have together received 503 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Diabetes and associated disorders (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Immunology (406 citations), Oncology (184 citations), Radiology, Nuclear Medicine and Imaging (98 citations), Immunology and Allergy (15 citations) and Endocrinology (8 citations). Edith Palmieri has collaborated with scholars based in United States, Chile and Switzerland. Frequent co-authors include Stanley G. Nathenson, Alexis M. Kalergis, Earl Goyarts, Zsuzsanna Végh, Immanuel F. Luescher, Nicole Boucheron, Marie‐Agnès Doucey, Jorge E. Mora, Leandro J. Carreño and Daniel Coombs. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Immunological Methods, The Journal of Immunology, Nature Immunology and International Immunology.

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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