Anna Benet‐Pagès

7.1k citations
35 papers · 2.9k · 1 hit paper · h-index 16

Impact in

  • Nephrology top 0.2%
    • Parathyroid Disorders and Treatments
  • Genetics top 2%
    • Genetic Syndromes and Imprinting

Papers in

Anna Benet‐Pagès

34 papers receiving 2.8k citations

Anna Benet‐Pagès's Hit Papers

The UCSC Genome Browser database: 2025 update 2024 · 164 citations
1640+1Years since publication50100150

Peers

Anna Benet‐Pagès
Comparison fields: 5 of 91
  • Nephrology 1.7k
  • Genetics 1.1k
  • Rheumatology 442
  • Nutrition and Dietetics 403
  • Pathology and Forensic Medicine 328
Replace Olivier Vanakker with:
Olivier Vanakker Belgium
Cheikh Menaa United States
H. Diefenbach-Jagger Australia
Ilana Chefetz United States
Marguerite Mangin United States
Meera Ramanujam United States
Dana Thomasová Germany
John E. Skonier United States
Mario Grisanti United States
Luiz F. Onuchic Brazil
Anna Benet‐Pagès relative to Olivier Vanakker Belgium Olivier Vanakker's profile →
Citations per field
00.5×10×13.3×
Olivier Vanakker · 1×
Citations per year

Countries citing papers authored by Anna Benet‐Pagès

Since Specialization
Citations

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

Fields of papers citing papers by Anna Benet‐Pagès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Benet‐Pagès. 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 Anna Benet‐Pagès. The network helps show where Anna Benet‐Pagès may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006431
2 2001428
3 2004411
4 2006368
5 2006304
6 2004214
7
The UCSC Genome Browser database: 2025 update
Hit paper breakdown →
2024164
8 201094
9 200993
10 201658
11 201354
12 201352
13 201146
14 202225
15 201823
16 201823
17 201514
18 200412
19 201712
20 201911

About Anna Benet‐Pagès

Anna Benet‐Pagès is a scholar working on Genetics, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Nephrology, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Genomics and Rare Diseases (9 papers), Genetic factors in colorectal cancer (7 papers), Parathyroid Disorders and Treatments (6 papers), BRCA gene mutations in cancer (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Biomedical Research and Pathophysiology (2 papers) and Cardiac pacing and defibrillation studies (2 papers). The work is most often cited by research in Nephrology (1.7k citations), Genetics (1.1k citations), Rheumatology (442 citations), Nutrition and Dietetics (403 citations) and Pathology and Forensic Medicine (328 citations). Anna Benet‐Pagès has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Tim M. Strom, Bettina Lorenz‐Depiereux, Michael J. Econs, Kenneth E. White, Peter Orlik, Gwénaëlle Carn, Janine Wagenstaller, Charlotte Jeanneau, Mads A. Tarp and Ulla Mandel. Their work appears in journals such as Familial Cancer, Journal of Medical Genetics, Human Mutation, Blood and Genome biology.

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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