Paul Lavender

4.8k citations
66 papers · 3.3k · h-index 29

Impact in

Papers in

    • Immune Cell Function and Interaction 18
    • T-cell and B-cell Immunology 15
    • Immune Response and Inflammation 7
    • Epigenetics and DNA Methylation 7

Paul Lavender

63 papers receiving 3.2k citations

Peers

Paul Lavender
Comparison fields: 5 of 114
  • Endocrinology, Diabetes and Metabolism 830
  • Behavioral Neuroscience 133
  • Immunology 775
  • Cardiology and Cardiovascular Medicine 591
  • Immunology and Allergy 149
Replace S. Kapas with:
S. Kapas United Kingdom
Antonio J. Oliveira-dos-Santos Canada
Rachelle Donn United Kingdom
Masanori Utsuyama Japan
Keith R. Anderson United States
Holger Luthman Sweden
Victorine Douin‐Echinard France
T Kishimoto Japan
Mitsuo Itakura Japan
Sawsan Youssef United States
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Citations per field
00.5×7.9×
S. Kapas · 1×
Citations per year

Countries citing papers authored by Paul Lavender

Since Specialization
Citations

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

Fields of papers citing papers by Paul Lavender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994476
2 1999300
3 2015192
4 1995154
5 2013138
6 1998129
7 2009123
8 1992105
9 2019103
10 1989101
11 199597
12 201783
13 200578
14 198874
15 202067
16 200761
17 200858
18 199757
19 200555
20 201654

About Paul Lavender

Paul Lavender is a scholar working on Immunology, Molecular Biology, Physiology, Genetics and Cancer Research, having authored 66 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (15 papers), Asthma and respiratory diseases (12 papers), Immune Response and Inflammation (7 papers), Epigenetics and DNA Methylation (7 papers), Estrogen and related hormone effects (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and NF-κB Signaling Pathways (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (830 citations), Behavioral Neuroscience (133 citations), Immunology (775 citations), Cardiology and Cardiovascular Medicine (591 citations) and Immunology and Allergy (149 citations). Paul Lavender has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Adrian Clark, Mark J. Caulfield, Martin Farrall, Patricia B. Munroe, Paul Turner, Mary Lawson, Lesley Rees, Grant D. Barish, Bart O. Williams and Aaron M. Zorn. Their work appears in journals such as Journal of Allergy and Clinical Immunology, The Journal of Immunology, Nature Communications, Clinical Endocrinology and Molecular Immunology.

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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