Edd Ricker

769 citations
13 papers · 550 · h-index 10

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Rheumatology top 10%
    • Systemic Lupus Erythematosus Research
    • Rheumatoid Arthritis Research and Therapies

Papers in

    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 5
    • Protein Kinase Regulation and GTPase Signaling 2
    • vaccines and immunoinformatics approaches 1

Edd Ricker

12 papers receiving 546 citations

Peers

Edd Ricker
Comparison fields: 5 of 63
  • Immunology 295
  • Rheumatology 136
  • Oncology 60
  • Hematology 25
  • Pathology and Forensic Medicine 38
Replace Lynnette Walters with:
Lynnette Walters United States
Linda M. Slot Netherlands
Aakash V. Patel United States
Benjamin Wakeland United States
Erica Moore United States
Ann‐Katrin Clauder Germany
Jessica M. Dorschner United States
Sólrún Melkorka Maggadóttir United States
Ryochi Yoshida Japan
Dao Xuan Nguyen United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Edd Ricker

Since Specialization
Citations

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

Fields of papers citing papers by Edd Ricker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2018126
2 201899
3 202185
4 201750
5 201646
6 201643
7 202132
8 202026
9 201721
10 202214
11 20207
12 20221
13 20250

About Edd Ricker

Edd Ricker is a scholar working on Immunology, Molecular Biology, Pathology and Forensic Medicine, Genetics and Rheumatology, having authored 13 papers that have together received 550 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Lymphoma Diagnosis and Treatment (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Systemic Lupus Erythematosus Research (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Immunology (295 citations), Rheumatology (136 citations), Oncology (60 citations), Hematology (25 citations) and Pathology and Forensic Medicine (38 citations). Edd Ricker has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Alessandra B. Pernis, Michela Manni, Sanjay Kumar Gupta, Yurii V. Chinenov, Woelsung Yi, Rolf Jessberger, Tania Pannellini, Lionel B. Ivashkiv, Sung Ho Park and Chien‐Huan Weng. Their work appears in journals such as Nature Communications, Arthritis Research & Therapy, Blood, Current Rheumatology Reports and Scientific Reports.

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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