Anita Farhi

7.6k citations
14 papers · 3.5k indexed · 2 hit papers · h-index 12

Anita Farhi

14 papers receiving 3.5k citations

Hit Papers

Genetic diagnosis by whole exome capture and massively pa...88520022026201020184008001.2k

Peers

Anita Farhi
Comparison fields: 5 of 126
  • Nephrology 299
  • Genetics 1.1k
  • Molecular Biology 2.3k
  • Orthopedics and Sports Medicine 229
  • Endocrinology, Diabetes and Metabolism 355
Replace Marcella Devoto with:
Marcella Devoto Italy
Elisabetta Gazzerro Italy
Steven Mumm United States
Robert A. Nissenson United States
Andreas Winterpacht Germany
Andrew H. Crosby United Kingdom
Tadashi Kaname Japan
Bernd Wollnik Germany
Toshiaki Monkawa Japan
Samuel Gebré‐Medhin Sweden
Anita Farhi relative to Marcella Devoto Italy Marcella Devoto's profile →
Citations per field
00.5×1.6×
Marcella Devoto · 1×
Citations per year

Countries citing papers authored by Anita Farhi

Since Specialization
Citations

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

Fields of papers citing papers by Anita Farhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 201542
2 201210
3 201240
4 2012175
5 2010116
6
Genetic diagnosis by whole exome capture and massively parallel DNA sequencingbreakdown →
2009885
7 2009354
8 200845
9 200558
10 2004256
11
High Bone Density Due to a Mutation in LDL-Receptor–Related Protein 5breakdown →
20021206
12 2001132
13 2000218
14 199511

About Anita Farhi

Anita Farhi is a scholar working on Nephrology, Cell Biology and Molecular Biology, having authored 14 papers that have together received 3.5k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (6 papers), Skin and Cellular Biology Research (3 papers), Congenital heart defects research (3 papers), Microtubule and mitosis dynamics (2 papers), Ion channel regulation and function (2 papers), Sodium Intake and Health (1 paper), Contact Dermatitis and Allergies (1 paper) and Bone health and treatments (1 paper). The work is most often cited by research in Nephrology (299 citations), Genetics (1.1k citations) and Molecular Biology (2.3k citations). Anita Farhi has collaborated with scholars based in United States, Canada and Lebanon. Frequent co-authors include Richard P. Lifton, Carol Nelson‐Williams, Lynn M. Boyden, Dianqing Wu, Joseph L. Belsky, Karl Insogna, Mary Ann Mitnick, Junhao Mao, Ute I. Scholl and Murim Choi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science, The American Journal of Human Genetics, Nature Genetics and Biological Psychiatry.

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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