Alex Pizzini

34 papers receiving 1.4k citations

Alex Pizzini's Hit Papers

Arachidonic Acid Metabolites in Cardiovascular and Metabolic Diseases 2018 · 344 citations
3440+2+5Years since publication100200300

Peers

Alex Pizzini
Comparison fields: 5 of 126
  • Neurology 210
  • Nutrition and Dietetics 194
  • Sensory Systems 58
  • Critical Care and Intensive Care Medicine 46
  • Biochemistry 75
Replace Ivan Tancevski with:
Ivan Tancevski Austria
Patrizia Viola United Kingdom
Peter A. Southorn United States
Xinmin S. Li United States
T G Rosano United States
Vincenzo Ostilio Palmieri Italy
Jing Bao China
Eric Pussard France
Nilaksh Gupta United States
Fabiana Andréa Moura Brazil
Alex Pizzini relative to Ivan Tancevski Austria Ivan Tancevski's profile →
Citations per field
00.5×6.4×
Ivan Tancevski · 1×
Citations per year

Countries citing papers authored by Alex Pizzini

Since Specialization
Citations

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

Fields of papers citing papers by Alex Pizzini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Arachidonic Acid Metabolites in Cardiovascular and Metabolic Diseases
Hit paper breakdown →
2018344
2 2014133
3 2009126
4 2021111
5 202098
6 201789
7 202261
8 201855
9 201954
10 202044
11 202137
12 201828
13 202227
14 202024
15 201922
16 202218
17 201718
18 201916
19 202116
20 202112

About Alex Pizzini

Alex Pizzini is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Neurology, Epidemiology and Nutrition and Dietetics, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), COVID-19 Clinical Research Studies (6 papers), Fatty Acid Research and Health (3 papers), Tryptophan and brain disorders (3 papers), Advanced Chemical Sensor Technologies (3 papers), Cholesterol and Lipid Metabolism (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Neurology (210 citations), Nutrition and Dietetics (194 citations), Sensory Systems (58 citations), Critical Care and Intensive Care Medicine (46 citations) and Biochemistry (75 citations). Alex Pizzini has collaborated with scholars based in Austria, Germany and Poland. Frequent co-authors include Günter Weiß, Ivan Tancevski, Thomas Sonnweber, Manfred Nairz, Judith Löffler‐Ragg, Rosa Bellmann‐Weiler, Sabina Sahanic, Wojciech Filipiak, Lukas Lunger and Katharina Kurz. Their work appears in journals such as Journal of Breath Research, Nutrients, European Respiratory Journal, Heart & Lung and Clinical Chemistry and Laboratory Medicine (CCLM).

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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