Iván Durán

1.7k citations
40 papers · 1.2k · h-index 21

Impact in

  • Genetics top 5%
    • Genetic and Kidney Cyst Diseases
    • Connective tissue disorders research
    • Genomics and Rare Diseases
    • Zebrafish Biomedical Research Applications

Papers in

    • Connective tissue disorders research 10
    • Genetic and Kidney Cyst Diseases 9
    • Zebrafish Biomedical Research Applications 7

Iván Durán

40 papers receiving 1.2k citations

Peers

Iván Durán
Comparison fields: 5 of 86
  • Genetics 575
  • Cell Biology 155
  • Developmental Biology 20
  • Molecular Biology 357
  • Rheumatology 71
Replace Roberta Besio with:
Roberta Besio Italy
Sheila X. Zhou Australia
Elizabeth T. Lau Hong Kong
Zequn Tang China
Mateusz Kolanczyk Germany
Michaela Kunova Bosakova Czechia
Susanne Dietrich United Kingdom
Kening Song United States
Lisette Nevarez United States
Jesús Chimal‐Monroy Mexico
Iván Durán relative to Roberta Besio Italy Roberta Besio's profile →
Citations per field
00.5×2×4×6×8×10×
Roberta Besio · 1×
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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016120
2 201797
3 201186
4 201571
5 201760
6 201456
7 201552
8 200248
9 201647
10 201646
11 201846
12 201639
13 201638
14 201838
15 202136
16 201534
17 201934
18 202030
19 202128
20 200725

About Iván Durán

Iván Durán is a scholar working on Genetics, Cell Biology, Molecular Biology, Rheumatology and Biomaterials, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Connective tissue disorders research (10 papers), Genetic and Kidney Cyst Diseases (9 papers), Zebrafish Biomedical Research Applications (7 papers), Developmental Biology and Gene Regulation (6 papers), Bone Metabolism and Diseases (4 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Collagen: Extraction and Characterization (3 papers) and Bone health and osteoporosis research (2 papers). The work is most often cited by research in Genetics (575 citations), Cell Biology (155 citations), Developmental Biology (20 citations), Molecular Biology (357 citations) and Rheumatology (71 citations). Iván Durán has collaborated with scholars based in United States, Spain and Czechia. Frequent co-authors include Deborah Krakow, Daniel H. Cohn, Manuel Marí‐Beffa, José Becerra, Jorge H Martin, S. Paige Taylor, Michael J. Bamshad, Pavel Krejčı́, Deborah A. Nickerson and Jesus Santamaria. Their work appears in journals such as Journal of Bone and Mineral Research, Developmental Biology, Human Molecular Genetics, Science Translational Medicine 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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