Ann Saada

12.2k citations
180 papers · 9.1k · h-index 53

Impact in

    • Metabolism and Genetic Disorders
    • Mitochondrial Function and Pathology
    • ATP Synthase and ATPases Research
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Biochemical and Molecular Research

Papers in

    • Metabolism and Genetic Disorders 71
    • Mitochondrial Function and Pathology 99
    • ATP Synthase and ATPases Research 39
    • RNA modifications and cancer 13
    • Biochemical and Molecular Research 10
    • RNA and protein synthesis mechanisms 8

Ann Saada

174 papers receiving 8.9k citations

Peers

Ann Saada
Comparison fields: 5 of 125
  • Clinical Biochemistry 2.8k
  • Molecular Biology 6.5k
  • Biochemistry 490
  • Neurology 409
  • Cellular and Molecular Neuroscience 811
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Ann Saada relative to Anne Lombès France Anne Lombès's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ann Saada

Since Specialization
Citations

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

Fields of papers citing papers by Ann Saada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001513
2 2001490
3 2007275
4 2005265
5 2011260
6 1994194
7 2009190
8 2004188
9 2013181
10 2008178
11 2008174
12 2006155
13 2009151
14 2008145
15 2016136
16 2013136
17 2007136
18 2013129
19 2015124
20 2019117

About Ann Saada

Ann Saada is a scholar working on Clinical Biochemistry, Molecular Biology, Biochemistry, Physiology and Cellular and Molecular Neuroscience, having authored 180 papers that have together received 9.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (99 papers), Metabolism and Genetic Disorders (71 papers), ATP Synthase and ATPases Research (39 papers), Biochemical Acid Research Studies (14 papers), RNA modifications and cancer (13 papers), Pancreatic function and diabetes (10 papers), Biochemical and Molecular Research (10 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Clinical Biochemistry (2.8k citations), Molecular Biology (6.5k citations), Biochemistry (490 citations), Neurology (409 citations) and Cellular and Molecular Neuroscience (811 citations). Ann Saada has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Orly N Elpeleg, Avraham Shaag, Hanna Mandel, Simon Edvardson, Chaya Miller, S. Eriksson, Shlomo Rotshenker, Fanny Reichert, Aviram Kogot‐Levin and Yoram Nevo. Their work appears in journals such as The American Journal of Human Genetics, European Journal of Human Genetics, Molecular Genetics and Metabolism, Journal of Medical Genetics and Biochemical and Biophysical Research Communications.

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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