Cosetta Minelli

23.0k citations
159 papers · 16.0k · 12 hit papers · h-index 54

Impact in

  • Genetics top 0.5%
    • Genetic Associations and Epidemiology
    • Genetic and phenotypic traits in livestock
  • Nephrology top 0.5%
    • Chronic Kidney Disease and Diabetes

Papers in

    • Genetic Associations and Epidemiology 36
    • Genetic and phenotypic traits in livestock 15
    • Genetic Mapping and Diversity in Plants and Animals 10
    • Chronic Obstructive Pulmonary Disease (COPD) Research 17
    • Respiratory Support and Mechanisms 9

Cosetta Minelli

159 papers receiving 15.7k citations

Cosetta Minelli's Hit Papers

Lung-function trajectories: relevance and implementation in clinical practice 2024 · 84 citations
840+7+14Years since publication4008001.2k

Peers

Cosetta Minelli
Comparison fields: 5 of 175
  • Genetics 3.8k
  • Nephrology 837
  • Critical Care and Intensive Care Medicine 421
  • Pulmonary and Respiratory Medicine 1.6k
  • Rheumatology 760
Replace Francesco U.S. Mattace-Raso with:
Francesco U.S. Mattace-Raso Netherlands
Tanja Zeller Germany
Naomi E. Hammond Australia
J. Jeffrey Carr United States
James S. Floyd United States
Cuno S.P.M. Uiterwaal Netherlands
Magnus K. Karlsson Sweden
Christoph Engel Germany
Wendy S. Post United States
Tatjana Rundek United States
Cosetta Minelli relative to Francesco U.S. Mattace-Raso Netherlands Francesco U.S. Mattace-Raso's profile →
Citations per field
00.5×1.5×2×2.4×
Francesco U.S. Mattace-Raso · 1×
Citations per year

Countries citing papers authored by Cosetta Minelli

Since Specialization
Citations

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

Fields of papers citing papers by Cosetta Minelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for performing Mendelian randomization investigations
Hit paper breakdown →
20191293
2
A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization
Hit paper breakdown →
20171251
3
Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic
Hit paper breakdown →
20161153
4
Guidelines for performing Mendelian randomization investigations
Hit paper breakdown →
20201073
5
Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome
Hit paper breakdown →
20151064
6
New loci associated with kidney function and chronic kidney disease
Hit paper breakdown →
2010695
7
Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption
Hit paper breakdown →
2018627
8
Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression
Hit paper breakdown →
2018626
9
Epidemiology and outcome of acute lung injury in European intensive care units
Hit paper breakdown →
2004543
10
Guidelines for performing Mendelian randomization investigations: update for summer 2023
Hit paper breakdown →
2023402
11 2005329
12 2015249
13
The use of two-sample methods for Mendelian randomization analyses on single large datasets
Hit paper breakdown →
2021228
14 2004227
15 2008221
16 2011218
17 2013211
18 2006195
19 2011193
20 2013186

About Cosetta Minelli

Cosetta Minelli is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis, Physiology and Rheumatology, having authored 159 papers that have together received 16.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (36 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (17 papers), Genetic and phenotypic traits in livestock (15 papers), Asthma and respiratory diseases (11 papers), Air Quality and Health Impacts (10 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Respiratory Support and Mechanisms (9 papers) and Folate and B Vitamins Research (7 papers). The work is most often cited by research in Genetics (3.8k citations), Nephrology (837 citations), Critical Care and Intensive Care Medicine (421 citations), Pulmonary and Respiratory Medicine (1.6k citations) and Rheumatology (760 citations). Cosetta Minelli has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include John Russell Thompson, Fabiola Del Greco M, Nuala A. Sheehan, George Davey Smith, Jack Bowden, Dipender Gill, M. Maria Glymour, Michael Vaclav Holmes, Evropi Τheodoratou and Fernando Pires Hartwig. Their work appears in journals such as Thorax, International Journal of Epidemiology, PLoS ONE, Intensive Care Medicine and American Journal of Epidemiology.

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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