Henia Darr

1.8k citations
10 papers · 1.3k · h-index 10

Impact in

    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation
    • Renal and related cancers
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
  • Aging top 10%

Papers in

    • Pluripotent Stem Cells Research 9
    • CRISPR and Genetic Engineering 7
    • Epigenetics and DNA Methylation 2
    • Renal and related cancers 2
    • Gene Regulatory Network Analysis 1
    • Tissue Engineering and Regenerative Medicine 2

Henia Darr

10 papers receiving 1.3k citations

Peers

Henia Darr
Comparison fields: 5 of 66
  • Molecular Biology 1.0k
  • Aging 26
  • Oncology 268
  • Cancer Research 122
  • Genetics 150
Replace María Castellà with:
María Castellà Spain
Jotaro Suzuki Japan
Kenjiro Adachi Germany
David J. Rodda Canada
Rachael Walker United Kingdom
Benjamin A. Schwarz United States
Michael D. Bettess Australia
Azadeh Golipour Canada
Daniel Oristian United States
Kevin Andrew Uy Gonzales Singapore
Henia Darr relative to María Castellà Spain María Castellà's profile →
Citations per field
00.5×1.5×2.4×
María Castellà · 1×
Citations per year

Countries citing papers authored by Henia Darr

Since Specialization
Citations

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

Fields of papers citing papers by Henia Darr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2011437
2 2019231
3 2015170
4 2006166
5 2004107
6 200867
7 201533
8 201532
9 200616
10 20069

About Henia Darr

Henia Darr is a scholar working on Molecular Biology, Surgery, Biomedical Engineering, Oncology and Genetics, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (7 papers), Epigenetics and DNA Methylation (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Renal and related cancers (2 papers), Nanowire Synthesis and Applications (1 paper), Gene Regulatory Network Analysis (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Molecular Biology (1.0k citations), Aging (26 citations), Oncology (268 citations), Cancer Research (122 citations) and Genetics (150 citations). Henia Darr has collaborated with scholars based in United States, Israel and Portugal. Frequent co-authors include Nissim Benvenisty, Yoav Mayshar, Ihor R. Lemischka, Christoph Schaniel, Dung‐Fang Lee, Betty Chang, Jie Su, Michael Rendl, Yongchao Ge and Jianlong Wang. Their work appears in journals such as Cell, Stem Cell Reports, Journal for ImmunoTherapy of Cancer, Stem Cells and Development.

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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