José M. Gualberto
- Molecular Biology top 1%
- Photosynthetic Processes and Mechanisms 36
- Mitochondrial Function and Pathology 30
- RNA and protein synthesis mechanisms 23
- Genomics and Phylogenetic Studies 13
- RNA modifications and cancer 10
- Redox biology and oxidative stress 8
- DNA Repair Mechanisms 6
- Plant Science top 1%
- Biochemistry top 5%
- Clinical Biochemistry top 5%
-
- Trace Elements in Health 5
- Co-authors
- Jean-Michel GrienenbergerKathleen J. NewtonLorenzo LamattinaJacques‐Henry WeilJean Michel GrienenbergerNicolas RouhierMonique Le RetGéraldine Bonnard
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (5 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
José M. Gualberto
63 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 4.7k
- Plant Science 1.8k
- Biochemistry 174
- Clinical Biochemistry 119
- Renewable Energy, Sustainability and the Environment 279
Countries citing papers authored by José M. Gualberto
This map shows the geographic impact of José M. Gualberto'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 José M. Gualberto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José M. Gualberto more than expected).
Fields of papers citing papers by José M. Gualberto
This network shows the impact of papers produced by José M. Gualberto. 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 José M. Gualberto. The network helps show where José M. Gualberto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside José M. Gualberto, 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 | 2025 | 1 | |
| 2 | 2022 | 7 | |
| 3 | 2021 | 12 | |
| 4 | 2019 | 50 | |
| 5 | 2017 | 89 | |
| 6 | 2016 | 25 | |
| 7 | 2015 | 51 | |
| 8 | 2014 | 29 | |
| 9 | 2013 | 61 | |
| 10 | 2012 | 38 | |
| 11 | 2009 | 71 | |
| 12 | 2006 | 290 | |
| 13 | Genome-Wide Analysis of Arabidopsis Pentatricopeptide Repeat Proteins Reveals Their Essential Role in Organelle Biogenesis[W]breakdown → | 2004 | 1051 |
| 14 | 2004 | 196 | |
| 15 | 1999 | 17 | |
| 16 | 1996 | 164 | |
| 17 | 1995 | 15 | |
| 18 | 1995 | 19 | |
| 19 | 1993 | 132 | |
| 20 | 1988 | 135 |
About José M. Gualberto
José M. Gualberto is a scholar working on Molecular Biology, Clinical Biochemistry and Plant Science, having authored 63 papers that have together received 5.4k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (36 papers), Mitochondrial Function and Pathology (30 papers), RNA and protein synthesis mechanisms (23 papers), Genomics and Phylogenetic Studies (13 papers), RNA modifications and cancer (10 papers), Redox biology and oxidative stress (8 papers), DNA Repair Mechanisms (6 papers) and Trace Elements in Health (5 papers). The work is most often cited by research in Molecular Biology (4.7k citations), Plant Science (1.8k citations) and Biochemistry (174 citations). José M. Gualberto has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Jean-Michel Grienenberger, Kathleen J. Newton, Lorenzo Lamattina, Jacques‐Henry Weil, Jean Michel Grienenberger, Nicolas Rouhier, Monique Le Ret, Géraldine Bonnard, Jean‐Pierre Jacquot and Ian Small. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.