Guillaume Paré

47.2k citations
268 papers · 10.6k indexed · 3 hit papers · h-index 53
Topics
Genetic Associations and Epidemiology (70 papers)Lipoproteins and Cardiovascular Health (38 papers)Antiplatelet Therapy and Cardiovascular Diseases (19 papers)

In The Last Decade

Guillaume Paré

257 papers receiving 10.4k citations

Hit Papers

Benefits and limitations of genome-wide association studies20192026202120232019201920232505007501000

Peers

Guillaume Paré
Comparison fields: 5 of 170
  • Molecular Biology 2.8k
  • Genetics 2.7k
  • Surgery 2.1k
  • Cardiology and Cardiovascular Medicine 1.8k
  • Endocrinology, Diabetes and Metabolism 1.5k
Replace Markus Perola with:
Markus Perola Finland
Daniel I. Chasman United States
Erik Ingelsson Sweden
Sekar Kathiresan United States
David B. Sacks United States
Atsushi Takahashi Japan
Adam S. Butterworth United Kingdom
Gibran Hemani United Kingdom
Abbas Dehghan Netherlands
Florian Kronenberg Austria
Guillaume Paré relative to Markus Perola Finland Markus Perola's profile →
Citations per field
00.5×1.7×
Markus Perola · 1×
Citations per year

Countries citing papers authored by Guillaume Paré

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Paré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Paré

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Paré. A scholar is included among the top collaborators of Guillaume Paré 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 Guillaume Paré. Guillaume Paré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 2
5 5
6 19
7 8
8 12
9 61
10 64
11 31
12 2
13 7
14 28
15 30
16 8
17 42
18 79
19 29
20 36

About Guillaume Paré

Guillaume Paré is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 268 papers that have together received 10.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (70 papers), Lipoproteins and Cardiovascular Health (38 papers) and Antiplatelet Therapy and Cardiovascular Diseases (19 papers). The work is most often cited by research in Genetics (2.7k citations), Endocrinology, Diabetes and Metabolism (1.5k citations) and Cardiology and Cardiovascular Medicine (1.8k citations). Guillaume Paré has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Daniel I. Chasman, Paul M. Ridker, Sonia S. Anand, David Meyre, Yohan Bossé, Nikunj Patel, Michelle Turcotte, Vivian Tam, Hertzel C. Gerstein and Salim Yusuf. Their work appears in journals such as New England Journal of Medicine, The Lancet and Journal of Biological Chemistry.

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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