Frédéric E. Taieb
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Molecular Medicine top 2%
Papers in
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- Escherichia coli research studies 7
-
- Antibiotic Resistance in Bacteria 9
- Co-authors
- Éric Oswald (20 shared papers)Jean‐Philippe Nougayrède (16 shared papers)James L. Maller (6 shared papers)Gerhard Gottschalk (1 shared paper)Stefan Homburg (1 shared paper)Jörg Hinrich Hacker (1 shared paper)Michèle Boury (1 shared paper)Ulrich Dobrindt (1 shared paper)
- Journals
- Current Biology (3 papers)Biology of the Cell (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)Cellular Microbiology (2 papers)PLoS ONE (2 papers)
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Frédéric E. Taieb
40 papers receiving 3.0k citations
Frédéric E. Taieb's Hit Papers
Peers
Comparison fields: 5 of 101
- Endocrinology 532
- Molecular Medicine 201
- Aging 68
- Cell Biology 507
- Biotechnology 260
Countries citing papers authored by Frédéric E. Taieb
This map shows the geographic impact of Frédéric E. Taieb'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 E. Taieb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric E. Taieb more than expected).
Fields of papers citing papers by Frédéric E. Taieb
This network shows the impact of papers produced by Frédéric E. Taieb. 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 E. Taieb. The network helps show where Frédéric E. Taieb may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric E. Taieb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Escherichia coli Induces DNA Double-Strand Breaks in Eukaryotic Cells Hit paper breakdown → | 2006 | 962 |
| 2 | 2000 | 206 | |
| 3 | 2005 | 197 | |
| 4 | 2018 | 187 | |
| 5 | 2001 | 140 | |
| 6 | 2005 | 128 | |
| 7 | 2001 | 104 | |
| 8 | 2001 | 87 | |
| 9 | 2016 | 86 | |
| 10 | 2006 | 80 | |
| 11 | 1997 | 77 | |
| 12 | 2010 | 65 | |
| 13 | 2008 | 64 | |
| 14 | 2021 | 59 | |
| 15 | 2009 | 57 | |
| 16 | 2009 | 52 | |
| 17 | 2022 | 46 | |
| 18 | 2008 | 45 | |
| 19 | 2011 | 40 | |
| 20 | 2019 | 35 |
About Frédéric E. Taieb
Frédéric E. Taieb is a scholar working on Endocrinology, Molecular Medicine, Genetics, Cell Biology and Molecular Biology, having authored 40 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), Microtubule and mitosis dynamics (9 papers), Antibiotic Resistance in Bacteria (9 papers), Escherichia coli research studies (7 papers), DNA Repair Mechanisms (7 papers), Reproductive Biology and Fertility (6 papers), Bacteriophages and microbial interactions (5 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Endocrinology (532 citations), Molecular Medicine (201 citations), Aging (68 citations), Cell Biology (507 citations) and Biotechnology (260 citations). Frédéric E. Taieb has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Éric Oswald, Jean‐Philippe Nougayrède, James L. Maller, Gerhard Gottschalk, Stefan Homburg, Jörg Hinrich Hacker, Michèle Boury, Ulrich Dobrindt, Carmen Buchrieser and Elżbieta Brzuszkiewicz. 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.