Bernd Jagla
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Molecular Biology Techniques and Applications
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
Papers in
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- Vibrio bacteria research studies 2
-
- Antimicrobial Peptides and Activities 2
- Co-authors
- Marie‐Agnès DilliesJean‐Yves CoppéeOdile SismeiroDénis LaloëCaroline Le GallFlorence JaffrézicGrégory GuernecAndréa Rau
- Journals
- PLoS ONE (3 papers)Bioinformatics (2 papers)Nucleic Acids Research (2 papers)Journal of Virology (2 papers)Microbial Cell (1 paper)
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Bernd Jagla
25 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cancer Research 271
- Molecular Biology 1.2k
- Endocrinology 62
- Parasitology 63
- Immunology 198
Countries citing papers authored by Bernd Jagla
This map shows the geographic impact of Bernd Jagla'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 Bernd Jagla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernd Jagla more than expected).
Fields of papers citing papers by Bernd Jagla
This network shows the impact of papers produced by Bernd Jagla. 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 Bernd Jagla. The network helps show where Bernd Jagla may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernd Jagla, 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 | 1 | |
| 2 | 2021 | 11 | |
| 3 | 2020 | 80 | |
| 4 | 2020 | 59 | |
| 5 | 2018 | 5 | |
| 6 | 2018 | 30 | |
| 7 | 2017 | 35 | |
| 8 | 2016 | 70 | |
| 9 | 2015 | 16 | |
| 10 | 2015 | 20 | |
| 11 | 2015 | 23 | |
| 12 | 2014 | 44 | |
| 13 | 2014 | 28 | |
| 14 | 2013 | 13 | |
| 15 | 2012 | 54 | |
| 16 | A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis Hit paper breakdown → | 2012 | 860 |
| 17 | 2011 | 30 | |
| 18 | 2006 | 8 | |
| 19 | 2005 | 125 | |
| 20 | 2000 | 27 |
About Bernd Jagla
Bernd Jagla is a scholar working on Endocrinology, Microbiology, Molecular Biology, Environmental Chemistry and Immunology, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (3 papers), RNA and protein synthesis mechanisms (3 papers), interferon and immune responses (2 papers), Vibrio bacteria research studies (2 papers), Pluripotent Stem Cells Research (2 papers), Antimicrobial Peptides and Activities (2 papers), Genomics and Phylogenetic Studies (2 papers) and Salivary Gland Disorders and Functions (2 papers). The work is most often cited by research in Cancer Research (271 citations), Molecular Biology (1.2k citations), Endocrinology (62 citations), Parasitology (63 citations) and Immunology (198 citations). Bernd Jagla has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Marie‐Agnès Dillies, Jean‐Yves Coppée, Odile Sismeiro, Dénis Laloë, Caroline Le Gall, Florence Jaffrézic, Grégory Guernec, Andréa Rau, Guillemette Marot and Jordi Estellé. Their work appears in journals such as PLoS ONE, Bioinformatics, Nucleic Acids Research, Journal of Virology and Microbial Cell.
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.