Andrew Podd

567 citations
10 papers · 453 · h-index 7

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • Immune Response and Inflammation 3
    • Cytokine Signaling Pathways and Interactions 3

Andrew Podd

8 papers receiving 451 citations

Peers

Andrew Podd
Comparison fields: 5 of 57
  • Immunology 306
  • Cancer Research 76
  • Hematology 49
  • Immunology and Allergy 22
  • Oncology 87
Replace Rikke Riisbro with:
Rikke Riisbro Denmark
Darlene Monlish United States
Christine Edmead United Kingdom
Alessandra Jales United States
Mingqiang Hua China
Yu Okajima Japan
Osama Elbaz Egypt
Emmanuel J. Volanakis United States
Il‐Kyoo Park United States
Laura S. Treml United States
Andrew Podd relative to Rikke Riisbro Denmark Rikke Riisbro's profile →
Citations per field
00.5×4.3×
Rikke Riisbro · 1×
Citations per year

Countries citing papers authored by Andrew Podd

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Podd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2012192
2 200970
3 200755
4 201344
5 200839
6 201136
7 201216
8 20121
9 20110
10 20250

About Andrew Podd

Andrew Podd is a scholar working on Immunology, Oncology, Cancer Research, Hematology and Surgery, having authored 10 papers that have together received 453 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Immune Cell Function and Interaction (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), T-cell and B-cell Immunology (3 papers), Immune Response and Inflammation (3 papers), Platelet Disorders and Treatments (3 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Immunology (306 citations), Cancer Research (76 citations), Hematology (49 citations), Immunology and Allergy (22 citations) and Oncology (87 citations). Andrew Podd has collaborated with scholars based in United States and China. Frequent co-authors include Demin Wang, Renren Wen, Yuhong Chen, Mei Yu, Hai Qi, Stephanie S. Watowich, Andrei M. Alekseev, Junmei Wang, Hua Huang and Chen Dong. Their work appears in journals such as Blood, The Journal of Immunology, Immunity, Journal of Biological Chemistry and Clinics in Laboratory 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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