Rod Flower

47 total papers · 2.2k total citations
35 papers, 1.7k citations indexed

About

Rod Flower is a scholar working on Molecular Biology, Pharmacology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rod Flower has authored 35 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Pharmacology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rod Flower's work include S100 Proteins and Annexins (12 papers), Inflammatory mediators and NSAID effects (8 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Rod Flower is often cited by papers focused on S100 Proteins and Annexins (12 papers), Inflammatory mediators and NSAID effects (8 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Rod Flower collaborates with scholars based in United Kingdom, United States and Canada. Rod Flower's 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 and has published in prestigious journals such as Nature, Nature reviews. Neuroscience and PLoS ONE.

In The Last Decade

Rod Flower

33 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rod Flower 723 374 328 210 208 35 1.7k
MyTrang Nguyen 739 1.0× 450 1.2× 558 1.7× 195 0.9× 318 1.5× 27 1.9k
Feng‐Ming Ho 699 1.0× 261 0.7× 280 0.9× 97 0.5× 214 1.0× 39 1.8k
S. Narumiya 689 1.0× 243 0.6× 653 2.0× 250 1.2× 359 1.7× 25 2.0k
Kentaro Maemura 945 1.3× 544 1.5× 162 0.5× 270 1.3× 239 1.1× 52 2.3k
Nobuhiro Nishigaki 873 1.2× 161 0.4× 417 1.3× 172 0.8× 208 1.0× 36 1.8k
Cristiana Stefan 734 1.0× 181 0.5× 180 0.5× 144 0.7× 140 0.7× 48 1.9k
B Thiele 1.3k 1.8× 230 0.6× 176 0.5× 206 1.0× 196 0.9× 57 2.0k
Kiyoshi Takayama 558 0.8× 256 0.7× 316 1.0× 135 0.6× 280 1.3× 35 1.7k
Kenneth P. Chepenik 917 1.3× 181 0.5× 230 0.7× 252 1.2× 427 2.1× 36 1.9k
John B. Cheng 1.1k 1.5× 341 0.9× 413 1.3× 141 0.7× 513 2.5× 59 2.0k

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-authorship network of co-authors of Rod Flower

This figure shows the co-authorship network connecting the top 25 collaborators of Rod Flower. A scholar is included among the top collaborators of Rod Flower based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rod Flower. Rod Flower is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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