Hend Farza

1.5k citations
18 papers · 1.3k · h-index 14

Impact in

Papers in

Hend Farza

18 papers receiving 1.3k citations

Peers

Hend Farza
Comparison fields: 5 of 83
  • Hepatology 177
  • Epidemiology 410
  • Cardiology and Cardiovascular Medicine 265
  • Genetics 340
  • Molecular Biology 713
Replace Anne S. Dejean with:
Anne S. Dejean France
Erhua Zhu Australia
Jenny A. Greig United States
Jennifer A. Tucker United States
Eugénia Lamas France
Katherine Rhodes United States
Hui-Qi Low Singapore
Kohei Murayama Japan
Alienke J. Monsuur Netherlands
Ana Luisa Perdigoto United States
Hend Farza relative to Anne S. Dejean France Anne S. Dejean's profile →
Citations per field
00.5×2×4×6×8.5×
Anne S. Dejean · 1×
Citations per year

Countries citing papers authored by Hend Farza

Since Specialization
Citations

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

Fields of papers citing papers by Hend Farza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2001284
2 1987175
3 1985132
4 1987120
5 1988116
6 1996101
7 199578
8 199463
9 200051
10 199050
11 199850
12 199023
13 201223
14 199217
15 199413
16
Gene expression during cardiac development.
19928
17 19994
18 19921

About Hend Farza

Hend Farza is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology and Immunology and Allergy, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (5 papers), Virus-based gene therapy research (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Epigenetics and DNA Methylation (3 papers), Animal Genetics and Reproduction (2 papers), Genetic Syndromes and Imprinting (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Hepatology (177 citations), Epidemiology (410 citations), Cardiology and Cardiovascular Medicine (265 citations), Genetics (340 citations) and Molecular Biology (713 citations). Hend Farza has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Christine Pourcel, Michelle Hadchouel, Pierre Tiollais, Charles Babinet, Philip J. Townsend, Dominique Simon, Paul Jeremy Richard Barton, Kamil R. Kranc, Helen C. Hurst and Jennifer N. Murdoch. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Journal of Virology, Nature Genetics, Carcinogenesis and Molecular and Cellular Neuroscience.

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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