Danilo Guerini

7.0k citations
78 papers · 4.8k indexed · 1 hit paper · h-index 37

Danilo Guerini

78 papers receiving 4.7k citations

Hit Papers

Proton-sensing G-protein-coupled receptors5822003202620102018100200300400500

Peers

Danilo Guerini
Comparison fields: 5 of 118
  • Physiology 277
  • Molecular Biology 3.9k
  • Cellular and Molecular Neuroscience 905
  • Sensory Systems 241
  • Cell Biology 674
Replace Roland Malli with:
Roland Malli Austria
Xin Xu United States
Pann‐Ghill Suh South Korea
Manuela Zaccolo United Kingdom
Vytautas P. Bindokas United States
Christophé Erneux Belgium
Susan Treves Switzerland
Matilde Caivano United Kingdom
Axel Methner Germany
Guillermo Romero United States
Danilo Guerini relative to Roland Malli Austria Roland Malli's profile →
Citations per field
00.5×1.5×
Roland Malli · 1×
Citations per year

Countries citing papers authored by Danilo Guerini

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Guerini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20199
2 2013106
3 2012100
4 20096
5 20076
6 2007163
7 200635
8 2006108
9 20059
10 200533
11 2005119
12 200383
13 200210
14 199962
15 199832
16 199774
17 199620
18 199333
19 198946
20 198729

About Danilo Guerini

Danilo Guerini is a scholar working on Physiology, Molecular Biology and Cell Biology, having authored 78 papers that have together received 4.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (31 papers), Sphingolipid Metabolism and Signaling (16 papers), Signaling Pathways in Disease (16 papers), Carbohydrate Chemistry and Synthesis (10 papers), Peptidase Inhibition and Analysis (8 papers), Cellular transport and secretion (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Lipid Membrane Structure and Behavior (7 papers). The work is most often cited by research in Physiology (277 citations), Molecular Biology (3.9k citations) and Cellular and Molecular Neuroscience (905 citations). Danilo Guerini has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Ernesto Carafoli, Klaus Seuwen, Claude B. Klee, Thomas P. Stauffer, Joachim Krebs, Armando A. Genazzani, Andreas Billich, Florian Müllershausen, Carol E. Jones and U. Junker. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Biochemistry, Bioorganic & Medicinal Chemistry Letters, Biochemistry and Biochemical and Biophysical Research Communications.

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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