Frédéric Taïeb
- Endocrinology top 1%
- Escherichia coli research studies 7
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 9
- Aging top 5%
- Cell Biology top 2%
- Microtubule and mitosis dynamics 11
- Biotechnology top 2%
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- Bacterial Genetics and Biotechnology 13
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- Reproductive Biology and Fertility 9
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- DNA Repair Mechanisms 7
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- Bacteriophages and microbial interactions 5
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- Plant Molecular Biology Research 4
- Co-authors
- Éric OswaldJean‐Philippe NougayrèdeJames L. MallerStefan HomburgCarmen BuchrieserJörg HackerGerhard GottschalkElżbieta Brzuszkiewicz
- Cited by
- EndocrinologyMolecular MedicineAging
- Journals
- Current Biology (3 papers)Biology of the Cell (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Frédéric Taïeb
40 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Endocrinology 510
- Molecular Medicine 198
- Aging 69
- Cell Biology 500
- Biotechnology 247
Countries citing papers authored by Frédéric Taïeb
This map shows the geographic impact of Frédéric Taïeb'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 Frédéric Taïeb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Taïeb more than expected).
Fields of papers citing papers by Frédéric Taïeb
This network shows the impact of papers produced by Frédéric Taïeb. 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 Frédéric Taïeb. The network helps show where Frédéric Taïeb may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frédéric Taïeb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 19 | |
| 2 | 2022 | 40 | |
| 3 | 2020 | 24 | |
| 4 | 2019 | 33 | |
| 5 | 2017 | 31 | |
| 6 | 2015 | 2 | |
| 7 | 2013 | 27 | |
| 8 | 2010 | 9 | |
| 9 | Escherichia coli Induces DNA Double-Strand Breaks in Eukaryotic Cellsbreakdown → | 2006 | 850 |
| 10 | 2006 | 72 | |
| 11 | 2005 | 116 | |
| 12 | 2002 | 31 | |
| 13 | 2001 | 104 | |
| 14 | 2001 | 134 | |
| 15 | 2001 | 22 | |
| 16 | 2000 | 199 | |
| 17 | 1997 | 76 | |
| 18 | 1997 | 10 | |
| 19 | 1996 | 27 | |
| 20 | 1994 | 18 |
About Frédéric Taïeb
Frédéric Taïeb is a scholar working on Endocrinology, Molecular Medicine, Aging, Cell Biology and Genetics, having authored 40 papers that have together received 2.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), Microtubule and mitosis dynamics (11 papers), Reproductive Biology and Fertility (9 papers), Antibiotic Resistance in Bacteria (9 papers), DNA Repair Mechanisms (7 papers), Escherichia coli research studies (7 papers), Bacteriophages and microbial interactions (5 papers) and Plant Molecular Biology Research (4 papers). The work is most often cited by research in Endocrinology (510 citations), Molecular Medicine (198 citations), Aging (69 citations), Cell Biology (500 citations) and Biotechnology (247 citations). Frédéric Taïeb has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Éric Oswald, Jean‐Philippe Nougayrède, James L. Maller, Stefan Homburg, Carmen Buchrieser, Jörg Hacker, Gerhard Gottschalk, Elżbieta Brzuszkiewicz, Michèle Boury and Ulrich Dobrindt. Their work appears in journals such as Current Biology, Biology of the Cell, Frontiers in Cellular and Infection Microbiology, Cellular Microbiology and PLoS ONE.
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.