José M. Pardo
- Plant Science top 0.02%
- Molecular Biology top 1%
- Biomedical Engineering top 10%
- Cell Biology top 5%
- Food Science top 5%
- Co-authors
- Francisco J. QuinteroRay A. BressanJian‐Kang ZhuEduardo O. LeidiHuazhong ShiPaul M. HasegawaImelda MendozaBeatriz Cubero
- Topics
- Plant Stress Responses and Tolerance (70 papers)Plant nutrient uptake and metabolism (61 papers)Plant Molecular Biology Research (54 papers)
- Partner nations
- SpainUnited StatesSouth Korea
In The Last Decade
José M. Pardo
116 papers receiving 13.5k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Plant Science 11.9k
- Molecular Biology 5.4k
- Biomedical Engineering 400
- Cell Biology 296
- Food Science 282
Countries citing papers authored by José M. Pardo
This map shows the geographic impact of José M. Pardo'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. Pardo 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. Pardo more than expected).
Fields of papers citing papers by José M. Pardo
This network shows the impact of papers produced by José M. Pardo. 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. Pardo. The network helps show where José M. Pardo may publish in the future.
Co-authorship network of co-authors of José M. Pardo
This figure shows the co-authorship network connecting the top 25 collaborators of José M. Pardo. A scholar is included among the top collaborators of José M. Pardo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with José M. Pardo. José M. Pardo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 10 | |
| 3 | 24 | |
| 4 | 43 | |
| 5 | 3 | |
| 6 | 24 | |
| 7 | 24 | |
| 8 | 38 | |
| 9 | 43 | |
| 10 | 60 | |
| 11 | 31 | |
| 12 | 169 | |
| 13 | 260 | |
| 14 | Ion Exchangers NHX1 and NHX2 Mediate Active Potassium Uptake into Vacuoles to Regulate Cell Turgor and Stomatal Function in Arabidopsisbreakdown → | 486 |
| 15 | 47 | |
| 16 | The Putative Plasma Membrane Na + /H + Antiporter SOS1 Controls Long-Distance Na + Transport in Plantsbreakdown → | 997 |
| 17 | 439 | |
| 18 | 51 | |
| 19 | Functional genomics of plant stress tolerance | 0 |
| 20 | 37 |
About José M. Pardo
José M. Pardo is a scholar working on Plant Science, Fluid Flow and Transfer Processes and Molecular Biology, having authored 119 papers that have together received 13.9k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (70 papers), Plant nutrient uptake and metabolism (61 papers) and Plant Molecular Biology Research (54 papers). The work is most often cited by research in Plant Science (11.9k citations), Molecular Biology (5.4k citations) and Physiology (209 citations). José M. Pardo has collaborated with scholars based in Spain, United States and South Korea. Frequent co-authors include Francisco J. Quintero, Ray A. Bressan, Jian‐Kang Zhu, Eduardo O. Leidi, Huazhong Shi, Paul M. Hasegawa, Imelda Mendoza, Beatriz Cubero, Dae‐Jin Yun and Xingyu Jiang. 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.