Cristian Pattaro
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes 10
- Renal Diseases and Glomerulopathies 7
- Dialysis and Renal Disease Management 4
- Genetics top 2%
- Genetic Associations and Epidemiology 20
- Genetic Mapping and Diversity in Plants and Animals 10
- Genetic and phenotypic traits in livestock 6
- Aging top 5%
- Physiology top 5%
- Rheumatology top 5%
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- Parkinson's Disease Mechanisms and Treatments 6
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- Opioid Use Disorder Treatment 5
- Co-authors
- Anna KöttgenFabiola Del Greco MPeggy SekulaPeter P. PramstallerRoberto de MarcoMartin GögeleCosetta MinelliOlivier Devuyst
- Cited by
- NephrologyGeneticsAging
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Cristian Pattaro
82 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Nephrology 235
- Genetics 780
- Aging 41
- Physiology 447
- Rheumatology 240
Countries citing papers authored by Cristian Pattaro
This map shows the geographic impact of Cristian Pattaro'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 Cristian Pattaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristian Pattaro more than expected).
Fields of papers citing papers by Cristian Pattaro
This network shows the impact of papers produced by Cristian Pattaro. 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 Cristian Pattaro. The network helps show where Cristian Pattaro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cristian Pattaro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 81 | |
| 14 | 2020 | 15 | |
| 15 | 2019 | 39 | |
| 16 | 2018 | 13 | |
| 17 | Mendelian Randomization as an Approach to Assess Causality Using Observational Databreakdown → | 2016 | 1255 |
| 18 | 2011 | 38 | |
| 19 | 2007 | 42 | |
| 20 | Analyzing Populations with Visual and Analytical Methods to Identify Family Clustered Diseases | 2007 | 1 |
About Cristian Pattaro
Cristian Pattaro is a scholar working on Nephrology, Genetics and Modeling and Simulation, having authored 84 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (20 papers), Chronic Kidney Disease and Diabetes (10 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Renal Diseases and Glomerulopathies (7 papers), Genetic and phenotypic traits in livestock (6 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Opioid Use Disorder Treatment (5 papers) and Dialysis and Renal Disease Management (4 papers). The work is most often cited by research in Nephrology (235 citations), Genetics (780 citations) and Aging (41 citations). Cristian Pattaro has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Anna Köttgen, Fabiola Del Greco M, Peggy Sekula, Peter P. Pramstaller, Roberto de Marco, Martin Gögele, Cosetta Minelli, Olivier Devuyst, Christian Fuchsberger and Gianluca Quaglio. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.
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.