Danielle C. Pappas

486 citations
11 papers · 280 · h-index 6

Impact in

Papers in

    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 3
    • CAR-T cell therapy research 4
    • Cancer Immunotherapy and Biomarkers 2

Danielle C. Pappas

11 papers receiving 274 citations

Peers

Danielle C. Pappas
Comparison fields: 5 of 62
  • Psychiatry and Mental health 74
  • Biological Psychiatry 9
  • Physiology 84
  • Cognitive Neuroscience 49
  • Neurology 19
Replace Maralyssa Bann with:
Maralyssa Bann United States
Glen Frick United States
Renato D’Alonzo Italy
Claire Hourrègue France
Melina G.H.E. den Brok Netherlands
Valentino Manzo Italy
Justin M. Barber United States
Yan Lian China
Verónica Cabreira United Kingdom
Danielle C. Pappas relative to Maralyssa Bann United States Maralyssa Bann's profile →
Citations per field
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Maralyssa Bann · 1×
Citations per year

Countries citing papers authored by Danielle C. Pappas

Since Specialization
Citations

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

Fields of papers citing papers by Danielle C. Pappas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle C. Pappas. 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 Danielle C. Pappas. The network helps show where Danielle C. Pappas may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2006112
2 201179
3 199329
4 202429
5 202417
6 20215
7 20224
8 20162
9 20171
10 20081
11 20221

About Danielle C. Pappas

Danielle C. Pappas is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Physiology and Molecular Biology, having authored 11 papers that have together received 280 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Allergic Rhinitis and Sensitization (1 paper), Alzheimer's disease research and treatments (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Psychiatry and Mental health (74 citations), Biological Psychiatry (9 citations), Physiology (84 citations), Cognitive Neuroscience (49 citations) and Neurology (19 citations). Danielle C. Pappas has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include John Lin, Sangeetha Bollini, Erene Mina, Wei-Hsien Ho, Yasmina Abdiche, Thomas T. Kawabe, Jaume Pons, Dione Kobayashi, Kelly R. Bales and George Kollias. Their work appears in journals such as Journal of Clinical Oncology, Journal of Psychoeducational Assessment, Alzheimer s & Dementia, Cancer Discovery and Science Translational Medicine.

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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