José L. Pruneda-Paz

6.9k citations
43 papers · 4.5k indexed · 2 hit papers · h-index 29
Topics
Plant Molecular Biology Research (32 papers)Light effects on plants (23 papers)Photosynthetic Processes and Mechanisms (17 papers)

In The Last Decade

José L. Pruneda-Paz

42 papers receiving 4.5k citations

Hit Papers

Linking photoreceptor excitation to changes in plant arch...201220262016202120122012100200300400

Peers

José L. Pruneda-Paz
Comparison fields: 5 of 101
  • Plant Science 4.0k
  • Molecular Biology 2.9k
  • Endocrine and Autonomic Systems 205
  • Immunology 160
  • Genetics 156
Replace Joshua M. Gendron with:
Joshua M. Gendron United States
Henry D. Priest United States
On Sun Lau United States
Xiaojun Nie China
Hitoshi Onouchi Japan
Federico Valverde Spain
Patrick Schweizer Germany
Zhongchi Liu United States
Steve van Nocker United States
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José L. Pruneda-Paz relative to Joshua M. Gendron United States Joshua M. Gendron's profile →
Citations per field
00.5×7.6×
Joshua M. Gendron · 1×
Citations per year

Countries citing papers authored by José L. Pruneda-Paz

Since Specialization
Citations

This map shows the geographic impact of José L. Pruneda-Paz'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 L. Pruneda-Paz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José L. Pruneda-Paz more than expected).

Fields of papers citing papers by José L. Pruneda-Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José L. Pruneda-Paz. 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 L. Pruneda-Paz. The network helps show where José L. Pruneda-Paz may publish in the future.

Co-authorship network of co-authors of José L. Pruneda-Paz

This figure shows the co-authorship network connecting the top 25 collaborators of José L. Pruneda-Paz. A scholar is included among the top collaborators of José L. Pruneda-Paz 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 L. Pruneda-Paz. José L. Pruneda-Paz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 11
3 4
4 11
5 10
6 46
7 62
8 83
9 7
10 97
11 2
12 206
13 200
14 70
15 156
16 187
17
Arabidopsis circadian clock protein, TOC1, is a DNA-binding transcription factorbreakdown →
415
18 150
19 379
20 349

About José L. Pruneda-Paz

José L. Pruneda-Paz is a scholar working on Plant Science, Molecular Biology and Endocrine and Autonomic Systems, having authored 43 papers that have together received 4.5k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (32 papers), Light effects on plants (23 papers) and Photosynthetic Processes and Mechanisms (17 papers). The work is most often cited by research in Plant Science (4.0k citations), Molecular Biology (2.9k citations) and Endocrine and Autonomic Systems (205 citations). José L. Pruneda-Paz has collaborated with scholars based in United States, Argentina and China. Frequent co-authors include Steve A. Kay, Ghislaı̀n Breton, Joseph R. Ecker, Colleen J. Doherty, Alessia Para, Sungkwon Kang, Joshua M. Gendron, Andrew M. Gross, Thomas F. Schultz and Samuel P. Hazen. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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.

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