Yann Le Cam

3.1k citations
25 papers · 1.4k indexed · 1 hit paper · h-index 12
Topics
Genomics and Rare Diseases (14 papers)Health Systems, Economic Evaluations, Quality of Life (11 papers)Pharmaceutical Economics and Policy (5 papers)

In The Last Decade

Yann Le Cam

25 papers receiving 1.3k citations

Hit Papers

Estimating cumulative point prevalence of rare diseases: ...20192026202120232019250500750

Peers

Yann Le Cam
Comparison fields: 5 of 126
  • Genetics 729
  • Molecular Biology 400
  • Economics and Econometrics 265
  • Pediatrics, Perinatology and Child Health 148
  • Genetics 120
Replace Stephen C. Groft with:
Stephen C. Groft United States
Valérie Serrière-Lanneau France
Annie Olry France
Charlotte Rodwell France
Daniel N. Murphy Ireland
Stéphanie Nguengang Wakap France
Carla van El Netherlands
Anne Pariser United States
Michael F. Murray United States
David Kaufman United States
Yann Le Cam relative to Stephen C. Groft United States Stephen C. Groft's profile →
Citations per field
00.5×1.5×2.5×
Stephen C. Groft · 1×
Citations per year

Countries citing papers authored by Yann Le Cam

Since Specialization
Citations

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

Fields of papers citing papers by Yann Le Cam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yann Le Cam. 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 Yann Le Cam. The network helps show where Yann Le Cam may publish in the future.

Co-authorship network of co-authors of Yann Le Cam

This figure shows the co-authorship network connecting the top 25 collaborators of Yann Le Cam. A scholar is included among the top collaborators of Yann Le Cam 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 Yann Le Cam. Yann Le Cam 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 2
2 34
3 6
4 2
5 8
6 31
7 11
8
Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet databasebreakdown →
833
9 6
10 7
11 76
12 17
13 59
14 100
15 26
16 25
17 8
18 10
19 48
20 33

About Yann Le Cam

Yann Le Cam is a scholar working on Genetics, Economics and Econometrics and Management of Technology and Innovation, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (14 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers) and Pharmaceutical Economics and Policy (5 papers). The work is most often cited by research in Genetics (729 citations), Genetics (120 citations) and Economics and Econometrics (265 citations). Yann Le Cam has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Ana Rath, Valérie Serrière-Lanneau, Daniel N. Murphy, Annie Olry, Deborah M. Lambert, Stéphanie Nguengang Wakap, Charlotte Rodwell, Maria Mavris, Monique Jeanblanc and Anneliene Hechtelt Jonker. Their work appears in journals such as Nature Reviews Drug Discovery, Clinical Pharmacology & Therapeutics and Frontiers in Pharmacology.

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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