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
- RNA Research and Splicing
Papers in
-
- Plant Reproductive Biology 4
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 3
- Genomics and Chromatin Dynamics 3
- Photosynthetic Processes and Mechanisms 2
-
- Plant Molecular Biology Research 8
- Plant Stress Responses and Tolerance 3
- Plant Physiology and Cultivation Studies 1
- Co-authors
- Michel Herzog (7 shared papers)Gilles Vachon (4 shared papers)Lisa J. Newman (1 shared paper)Malcolm M. Campbell (1 shared paper)Jean‐Marc Bonneville (3 shared papers)Martin Hülskamp (2 shared papers)Spencer Brown (2 shared papers)Anne-Marie Dorne (1 shared paper)
In The Last Decade
Daniel Perazza
11 papers receiving 877 citations
Peers
Comparison fields: 5 of 37
- Plant Science 605
- Molecular Biology 743
- 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 | 183 | |
| 2 | 1998 | 156 | |
| 3 | 1999 | 122 | |
| 4 | 2004 | 111 | |
| 5 | 2003 | 81 | |
| 6 | 2012 | 73 | |
| 7 | 2007 | 53 | |
| 8 | 2007 | 39 | |
| 9 | 2014 | 38 | |
| 10 | 2011 | 27 | |
| 11 | 2021 | 10 | |
| 12 | 2026 | 0 |
About Daniel Perazza
Daniel Perazza is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Organic Chemistry and Surgery, having authored 12 papers that have together received 893 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), Plant Reproductive Biology (4 papers), Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers), Genomics and Chromatin Dynamics (3 papers), Plant Stress Responses and Tolerance (3 papers), Photosynthetic Processes and Mechanisms (2 papers) and Plant Physiology and Cultivation Studies (1 paper). The work is most often cited by research in Plant Science (605 citations), Molecular Biology (743 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, Martin Hülskamp, Spencer Brown, Anne-Marie Dorne, Frédéric Berger and Jean‐Denis Faure. Their work appears in journals such as PLANT PHYSIOLOGY, The EMBO Journal, Life Science Alliance, Genetics and Plant Physiology and Biochemistry.
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.