Daniel Perazza
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Plant nutrient uptake and metabolism
- Molecular Biology top 10%
- Plant Reproductive Biology
- Plant Gene Expression Analysis
- RNA modifications and cancer
- Photosynthetic Processes and Mechanisms
- Plant biochemistry and biosynthesis
Papers in
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- Plant Reproductive Biology 4
- Genomics and Chromatin Dynamics 3
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 2
- Photosynthetic Processes and Mechanisms 2
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- Plant Molecular Biology Research 8
- Plant Stress Responses and Tolerance 3
- Plant-Microbe Interactions and Immunity 1
- Co-authors
- Michel Herzog (7 shared papers)Gilles Vachon (3 shared papers)Lisa J. Newman (1 shared paper)Malcolm M. Campbell (1 shared paper)Jean‐Marc Bonneville (3 shared papers)Spencer Brown (2 shared papers)Martin Hülskamp (2 shared papers)Anne-Marie Dorne (1 shared paper)
In The Last Decade
Daniel Perazza
11 papers receiving 820 citations
Peers
Comparison fields: 5 of 38
- Plant Science 583
- Molecular Biology 724
- Endocrinology 12
- Horticulture 2
- Cell Biology 31
Countries citing papers authored by Daniel Perazza
This map shows the geographic impact of Daniel Perazza'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 Daniel Perazza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Perazza more than expected).
Fields of papers citing papers by Daniel Perazza
This network shows the impact of papers produced by Daniel Perazza. 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 Daniel Perazza. The network helps show where Daniel Perazza may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Perazza, 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 | 2003 | 173 | |
| 2 | 1998 | 142 | |
| 3 | 1999 | 114 | |
| 4 | 2004 | 104 | |
| 5 | 2003 | 76 | |
| 6 | 2012 | 71 | |
| 7 | 2007 | 49 | |
| 8 | 2007 | 37 | |
| 9 | 2014 | 34 | |
| 10 | 2011 | 25 | |
| 11 | 2021 | 8 |
About Daniel Perazza
Daniel Perazza is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Organic Chemistry and Surgery, having authored 11 papers that have together received 833 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), Plant Reproductive Biology (4 papers), Plant Stress Responses and Tolerance (3 papers), Genomics and Chromatin Dynamics (3 papers), Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Plant-Microbe Interactions and Immunity (1 paper). The work is most often cited by research in Plant Science (583 citations), Molecular Biology (724 citations), Endocrinology (12 citations), Horticulture (2 citations) and Cell Biology (31 citations). Daniel Perazza has collaborated with scholars based in France, Germany and Japan. Frequent co-authors include Michel Herzog, Gilles Vachon, Lisa J. Newman, Malcolm M. Campbell, Jean‐Marc Bonneville, Spencer Brown, Martin Hülskamp, Anne-Marie Dorne, Jean‐Denis Faure and Frédéric Berger. Their work appears in journals such as PLANT PHYSIOLOGY, Molecular Genetics and Genomics, The EMBO Journal, Molecules and Cells and Genetics.
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.