D. Lloyds

465 citations
10 papers · 421 · h-index 8

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 10%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 6
    • Immune Response and Inflammation 3
    • S100 Proteins and Annexins 3
    • Receptor Mechanisms and Signaling 2
    • Glycosylation and Glycoproteins Research 1

D. Lloyds

10 papers receiving 401 citations

Peers

D. Lloyds
Comparison fields: 5 of 74
  • Immunology and Allergy 62
  • Immunology 201
  • Hepatology 52
  • Neurology 22
  • Microbiology 15
Replace Doris Stoll with:
Doris Stoll Germany
Atsutoshi Ikesue Japan
Thomas Knorpp Germany
Suetsugu Mue Japan
Susan P. Fuller United States
Soo-Mi Kweon United States
Ruth Seelige United States
Magdalena Leiva Spain
J Park United States
Feng Wei China
D. Lloyds relative to Doris Stoll Germany Doris Stoll's profile →
Citations per field
00.5×5.6×
Doris Stoll · 1×
Citations per year

Countries citing papers authored by D. Lloyds

Since Specialization
Citations

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

Fields of papers citing papers by D. Lloyds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside D. Lloyds, 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 D. Lloyds Line = papers co-authored together D. Lloyds links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1995215
2 199373
3
Priming of human neutrophils by tumour necrosis factor-alpha and substance P is associated with tyrosine phosphorylation.
199537
4 199332
5 199425
6
The Molecular and Ionic Signaling of Neutrophils
199715
7 199612
8 19937
9 19954
10 19961

About D. Lloyds

D. Lloyds is a scholar working on Immunology, Molecular Biology, Immunology and Allergy, Surgery and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 421 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Cell Adhesion Molecules Research (4 papers), S100 Proteins and Annexins (3 papers), Immune Response and Inflammation (3 papers), Receptor Mechanisms and Signaling (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Immunology and Allergy (62 citations), Immunology (201 citations), Hepatology (52 citations), Neurology (22 citations) and Microbiology (15 citations). D. Lloyds has collaborated with scholars based in United Kingdom and Japan. Frequent co-authors include Maurice B. Hallett, Takashi Nakamura, Nicholas P.J. Brindle, Wen G. Jiang, M. C. A. Puntis, E. V. Davies and Bryan Williams. Their work appears in journals such as Biochemical Society Transactions, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Lara D. Veeken, Biochemical Pharmacology and Clinical & Experimental Metastasis.

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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