Cristian Pattaro
- Genetics top 2%
- Molecular Biology
- Physiology top 5%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Anna KöttgenFabiola Del Greco MPeggy SekulaPeter P. PramstallerRoberto de MarcoMartin GögeleCosetta MinelliOlivier Devuyst
- Topics
- Genetic Associations and Epidemiology (20 papers)Chronic Kidney Disease and Diabetes (10 papers)Genetic Mapping and Diversity in Plants and Animals (10 papers)
- 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
- Genetics 780
- Molecular Biology 628
- Physiology 447
- Epidemiology 428
- Public Health, Environmental and Occupational Health 262
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 of co-authors of Cristian Pattaro
This figure shows the co-authorship network connecting the top 25 collaborators of Cristian Pattaro. A scholar is included among the top collaborators of Cristian Pattaro 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 Cristian Pattaro. Cristian Pattaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 81 | |
| 14 | 15 | |
| 15 | 39 | |
| 16 | 13 | |
| 17 | Mendelian Randomization as an Approach to Assess Causality Using Observational Databreakdown → | 1255 |
| 18 | 38 | |
| 19 | 42 | |
| 20 | Analyzing Populations with Visual and Analytical Methods to Identify Family Clustered Diseases | 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) and Genetic Mapping and Diversity in Plants and Animals (10 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.