María Isabel Puga
- Plant Science top 0.5%
- Molecular Biology top 5%
- Cancer Research top 5%
- Insect Science top 2%
- Endocrinology top 2%
- Co-authors
- Javier Paz‐AresAntonio LeyvaJosé M. Franco‐ZorrillaIsabel MateosDetlef WeigelAdrián VallíIgnacio Rubio‐SomozaMarco Todesco
- Topics
- Plant nutrient uptake and metabolism (9 papers)Plant Stress Responses and Tolerance (5 papers)Plant Molecular Biology Research (5 papers)
- Partner nations
- SpainUnited StatesSwitzerland
In The Last Decade
María Isabel Puga
13 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Plant Science 3.4k
- Molecular Biology 1.7k
- Cancer Research 534
- Insect Science 393
- Endocrinology 230
Countries citing papers authored by María Isabel Puga
This map shows the geographic impact of María Isabel Puga'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 María Isabel Puga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Isabel Puga more than expected).
Fields of papers citing papers by María Isabel Puga
This network shows the impact of papers produced by María Isabel Puga. 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 María Isabel Puga. The network helps show where María Isabel Puga may publish in the future.
Co-authorship network of co-authors of María Isabel Puga
This figure shows the co-authorship network connecting the top 25 collaborators of María Isabel Puga. A scholar is included among the top collaborators of María Isabel Puga 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 María Isabel Puga. María Isabel Puga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 147 | |
| 3 | 143 | |
| 4 | 79 | |
| 5 | SPX1 is a phosphate-dependent inhibitor of PHOSPHATE STARVATION RESPONSE 1 in Arabidopsisbreakdown → | 374 |
| 6 | 153 | |
| 7 | TheArabidopsisbHLH Transcription Factors MYC3 and MYC4 Are Targets of JAZ Repressors and Act Additively with MYC2 in the Activation of Jasmonate Responses breakdown → | 890 |
| 8 | A Central Regulatory System Largely Controls Transcriptional Activation and Repression Responses to Phosphate Starvation in Arabidopsisbreakdown → | 586 |
| 9 | Target mimicry provides a new mechanism for regulation of microRNA activitybreakdown → | 1563 |
| 10 | 11 | |
| 11 | 102 | |
| 12 | 19 | |
| 13 | 23 |
About María Isabel Puga
María Isabel Puga is a scholar working on Physiology, Plant Science and Insect Science, having authored 13 papers that have together received 4.1k indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (9 papers), Plant Stress Responses and Tolerance (5 papers) and Plant Molecular Biology Research (5 papers). The work is most often cited by research in Plant Science (3.4k citations), Endocrinology (230 citations) and Cancer Research (534 citations). María Isabel Puga has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Javier Paz‐Ares, Antonio Leyva, José M. Franco‐Zorrilla, Isabel Mateos, Detlef Weigel, Adrián Vallí, Ignacio Rubio‐Somoza, Marco Todesco, Juan Antonio Garcı́a and Vicente Rubio. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and The Plant 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.