Iván Durán

1.8k citations
37 papers · 844 · h-index 18

Impact in

  • Genetics top 5%
    • Genetic and Kidney Cyst Diseases
    • Connective tissue disorders research
  • Cell Biology top 10%

Papers in

    • Developmental Biology and Gene Regulation 6
    • Congenital heart defects research 4
    • Renal and related cancers 3
    • Connective tissue disorders research 8
    • Genetic and Kidney Cyst Diseases 6
    • Animal Genetics and Reproduction 3
    • Genetic Syndromes and Imprinting 3

Iván Durán

35 papers receiving 837 citations

Peers

Iván Durán
Comparison fields: 5 of 103
  • Genetics 430
  • Cell Biology 164
  • Molecular Biology 513
  • Rheumatology 83
  • Cancer Research 58
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Steve Allen United Kingdom
Diana E. Libuda United States
Leonie F. A. Huitema Netherlands
Kevin Bishop United States
Zequn Tang China
Jonathan Pearce United Kingdom
Carine Le Goff France
Jessica A. Lehoczky United States
Misuzu Yamashita Japan
Barbara Zerega Italy
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Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by Iván Durán

Since Specialization
Citations

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

Fields of papers citing papers by Iván Durán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201785
2 201181
3 201569
4 201759
5 201452
6 200248
7 201644
8 201644
9 201842
10 201837
11 201530
12 201629
13 202127
14 202025
15 200725
16 201723
17 201918
18 202017
19 202210
20 202110

About Iván Durán

Iván Durán is a scholar working on Molecular Biology, Genetics, Cell Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 844 indexed citations. Recurring topics across this work include Connective tissue disorders research (8 papers), Developmental Biology and Gene Regulation (6 papers), Genetic and Kidney Cyst Diseases (6 papers), Congenital heart defects research (4 papers), Animal Genetics and Reproduction (3 papers), Renal and related cancers (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Genetics (430 citations), Cell Biology (164 citations), Molecular Biology (513 citations), Rheumatology (83 citations) and Cancer Research (58 citations). Iván Durán has collaborated with scholars based in Spain, United States and Czechia. Frequent co-authors include Deborah Krakow, Daniel H. Cohn, Manuel Marí‐Beffa, José Becerra, S. Paige Taylor, Jorge Martı́n, Michael J. Bamshad, Pavel Krejčı́, Deborah A. Nickerson and Jesús Santamaría. Their work appears in journals such as Journal of Bone and Mineral Research, Human Molecular Genetics, Developmental Biology, PLoS Genetics and Human Mutation.

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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