Angela Epp

684 citations
19 papers · 538 · h-index 10

Impact in

  • Oncology top 10%
    • Chemokine receptors and signaling
    • Viral-associated cancers and disorders
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Chemokine receptors and signaling 4
    • CAR-T cell therapy research 3
    • Cancer Immunotherapy and Biomarkers 2
    • Immunotherapy and Immune Responses 5
    • Galectins and Cancer Biology 3
    • T-cell and B-cell Immunology 3

Angela Epp

17 papers receiving 523 citations

Peers

Angela Epp
Comparison fields: 5 of 56
  • Oncology 315
  • Immunology 211
  • Hematology 62
  • Genetics 41
  • Immunology and Allergy 22
Replace Silvana Festa with:
Silvana Festa Italy
Vadim Deyev United States
Riccardo Turrini Italy
Ursula R. Sorg Germany
Thamara Beyer Germany
Heike Schmidlin Netherlands
Tomomitsu Doi Japan
Qingsheng Li China
Mikio Ohtsuka Japan
Laura Tassone Italy
Angela Epp relative to Silvana Festa Italy Silvana Festa's profile →
Citations per field
00.5×1.5×1.8×
Silvana Festa · 1×
Citations per year

Countries citing papers authored by Angela Epp

Since Specialization
Citations

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

Fields of papers citing papers by Angela Epp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2000182
2 199996
3 200072
4 200841
5 201540
6 199831
7 201116
8 200914
9 202111
10 19999
11 20158
12 20115
13 20155
14 20213
15 20242
16 20222
17 20161
18 20060
19 20230

About Angela Epp

Angela Epp is a scholar working on Oncology, Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Hematology, having authored 19 papers that have together received 538 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (5 papers), Glycosylation and Glycoproteins Research (4 papers), Chemokine receptors and signaling (4 papers), Galectins and Cancer Biology (3 papers), T-cell and B-cell Immunology (3 papers), CAR-T cell therapy research (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Oncology (315 citations), Immunology (211 citations), Hematology (62 citations), Genetics (41 citations) and Immunology and Allergy (22 citations). Angela Epp has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Patrick W. Gray, Carol J. Raport, Vicki L. Schweickart, David Chantry, Christi L. Wood, Shyra J. Gardai, Paola Romagnani, Johnny T. Stine, Che‐Leung Law and Sergio Romagnani. Their work appears in journals such as Cancer Research, Blood, Molecular Therapy, Journal of Leukocyte Biology and PROTEOMICS.

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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