João Daniel Arrabaça

33 total papers · 601 total citations
24 papers, 461 citations indexed

About

João Daniel Arrabaça is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, João Daniel Arrabaça has authored 24 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 14 papers in Molecular Biology and 4 papers in Biochemistry. Recurrent topics in João Daniel Arrabaça's work include Photosynthetic Processes and Mechanisms (7 papers), Cassava research and cyanide (5 papers) and Plant Stress Responses and Tolerance (5 papers). João Daniel Arrabaça is often cited by papers focused on Photosynthetic Processes and Mechanisms (7 papers), Cassava research and cyanide (5 papers) and Plant Stress Responses and Tolerance (5 papers). João Daniel Arrabaça collaborates with scholars based in Portugal, France and United States. João Daniel Arrabaça's co-authors include Maria C. Loureiro‐Dias, Paula Duque, Ana Rita Matos, F. Moreau, Alain Zachowski, M.G. Barreiro, Cécile Cabassa, M. T. Amaral-Collaço, Nathalie Rézé and F. Xavier Malcata and has published in prestigious journals such as FEBS Letters, Applied Microbiology and Biotechnology and Plant Cell & Environment.

In The Last Decade

João Daniel Arrabaça

23 papers receiving 450 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
João Daniel Arrabaça 260 241 55 39 38 24 461
J.W. Dicks 160 0.6× 197 0.8× 27 0.5× 65 1.7× 16 0.4× 22 431
Duo Chen 258 1.0× 180 0.7× 83 1.5× 37 0.9× 21 0.6× 33 474
Nirupama S. Jayasinghe 180 0.7× 293 1.2× 92 1.7× 54 1.4× 13 0.3× 12 515
T. A. Pedersen 287 1.1× 135 0.6× 133 2.4× 72 1.8× 31 0.8× 22 528
Xi Chen 330 1.3× 137 0.6× 54 1.0× 13 0.3× 17 0.4× 21 519
Guowei Zheng 249 1.0× 327 1.4× 22 0.4× 41 1.1× 104 2.7× 26 501
Libero Gurrieri 199 0.8× 209 0.9× 93 1.7× 21 0.5× 14 0.4× 20 428
Emilia Reszczyńska 190 0.7× 159 0.7× 35 0.6× 53 1.4× 29 0.8× 18 429
Elena V. Tyutereva 229 0.9× 410 1.7× 42 0.8× 47 1.2× 13 0.3× 29 519
R. F. Anderson 192 0.7× 140 0.6× 78 1.4× 102 2.6× 16 0.4× 22 459

Countries citing papers authored by João Daniel Arrabaça

Since Specialization
Citations

This map shows the geographic impact of João Daniel Arrabaça'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 João Daniel Arrabaça with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João Daniel Arrabaça more than expected).

Fields of papers citing papers by João Daniel Arrabaça

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João Daniel Arrabaça. 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 João Daniel Arrabaça. The network helps show where João Daniel Arrabaça may publish in the future.

Co-authorship network of co-authors of João Daniel Arrabaça

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

All Works

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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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