Rod Flower

2.2k citations
35 papers · 1.7k · h-index 19

Impact in

Papers in

    • S100 Proteins and Annexins 12
    • Protein Kinase Regulation and GTPase Signaling 3
    • Inflammatory mediators and NSAID effects 8

Rod Flower

33 papers receiving 1.6k citations

Peers

Rod Flower
Comparison fields: 5 of 131
  • Behavioral Neuroscience 76
  • Pharmacology 328
  • Immunology 374
  • Immunology and Allergy 64
  • Molecular Biology 723
Replace Hui Kong with:
Hui Kong China
F. Nantel Canada
Sharon DeMorrow United States
Dominique Thomas Germany
John N. Snouwaert United States
John F. Schmedtje United States
Maria Grazia Cattaneo Italy
Fabio Benigni Italy
Nobuo Katsube Japan
Jun Takasaki Japan
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Rod Flower

Since Specialization
Citations

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

Fields of papers citing papers by Rod Flower

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003359
2 1994296
3 2000246
4 2002112
5 199571
6 199659
7 200359
8 202150
9 200948
10 200447
11 199839
12 200235
13 201333
14 198132
15 201621
16 201220
17 201119
18 200318
19 201418
20 202018

About Rod Flower

Rod Flower is a scholar working on Molecular Biology, Pharmacology, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (12 papers), Inflammatory mediators and NSAID effects (8 papers), Cytokine Signaling Pathways and Interactions (5 papers), Neonatal Respiratory Health Research (5 papers), Immune Response and Inflammation (4 papers), Asthma and respiratory diseases (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Behavioral Neuroscience (76 citations), Pharmacology (328 citations), Immunology (374 citations), Immunology and Allergy (64 citations) and Molecular Biology (723 citations). Rod Flower has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Jamie D. Croxtall, Nancy J. Rothwell, Samia Yazid, Derek W. Gilroy, Ajantha Sinniah, Julia C. Buckingham, Peter Th. W. van Hal, Nicolás G. Bazán, Egle Solito and Simon P. Newman. Their work appears in journals such as Trends in Pharmacological Sciences, Nature, Nature Reviews Drug Discovery, Biochemical Pharmacology and British Journal of Pharmacology.

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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