Dayana Abboud

406 citations
14 papers · 290 · h-index 8

Impact in

    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Chemokine receptors and signaling

Papers in

    • Receptor Mechanisms and Signaling 6
    • Phenothiazines and Benzothiazines Synthesis and Activities 1
    • Chemokine receptors and signaling 4

Dayana Abboud

14 papers receiving 290 citations

Peers

Dayana Abboud
Comparison fields: 5 of 59
  • Immunology 92
  • Oncology 75
  • Endocrinology, Diabetes and Metabolism 37
  • Dermatology 18
  • Immunology and Allergy 10
Replace Elise Bonvin with:
Elise Bonvin France
Héloïse M. Leclair France
Amy R. Dwyer Australia
Evert Nijhuis Netherlands
Peiyuan Lin United States
Rachele Busca Switzerland
Alberto Del Río-Espínola Spain
Zhuohao Liu China
Cuiyan Xin Germany
Dana Yip United States
Dayana Abboud relative to Elise Bonvin France Elise Bonvin's profile →
Citations per field
00.5×4.9×
Elise Bonvin · 1×
Citations per year

Countries citing papers authored by Dayana Abboud

Since Specialization
Citations

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

Fields of papers citing papers by Dayana Abboud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201977
2 201749
3 202034
4 201832
5 202227
6 201619
7 201519
8 202213
9 20237
10 20244
11 20244
12 20232
13 20232
14 20211

About Dayana Abboud

Dayana Abboud is a scholar working on Molecular Biology, Oncology, Immunology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 290 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Chemokine receptors and signaling (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Neuropeptides and Animal Physiology (3 papers), T-cell and B-cell Immunology (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Immune Cell Function and Interaction (2 papers) and Phenothiazines and Benzothiazines Synthesis and Activities (1 paper). The work is most often cited by research in Immunology (92 citations), Oncology (75 citations), Endocrinology, Diabetes and Metabolism (37 citations), Dermatology (18 citations) and Immunology and Allergy (10 citations). Dayana Abboud has collaborated with scholars based in Belgium, France and Japan. Frequent co-authors include Julien Hanson, Andy Chevigné, Bassam Janji, Asuka Inoue, Bernard Pirotte, Nadine Dupuis, Martyna Szpakowska, Alessandra Baragli, Muhammad Zaeem Noman and Nikolaus Heveker. Their work appears in journals such as Journal of Medicinal Chemistry, British Journal of Pharmacology, Biochemical Pharmacology, Nature Communications and The FASEB Journal.

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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