Daniela Linder-Basso

12 total papers · 3.3k total citations
7 papers, 521 citations indexed

About

Daniela Linder-Basso is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Daniela Linder-Basso has authored 7 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 3 papers in Molecular Biology and 3 papers in Endocrinology. Recurrent topics in Daniela Linder-Basso's work include Plant and Fungal Interactions Research (3 papers), Plant Virus Research Studies (3 papers) and Genomics and Chromatin Dynamics (2 papers). Daniela Linder-Basso is often cited by papers focused on Plant and Fungal Interactions Research (3 papers), Plant Virus Research Studies (3 papers) and Genomics and Chromatin Dynamics (2 papers). Daniela Linder-Basso collaborates with scholars based in United States, Sweden and Germany. Daniela Linder-Basso's co-authors include Bradley I. Hillman, Jasmin N. Dynek, Michael Tolstorukov, Mitzi I. Kuroda, Nicole C. Riddle, Artyom A. Alekseyenko, Yuri B. Schwartz, Vincenzo Pirrotta, Gary H. Karpen and Sarah C. R. Elgin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genome Research and Molecular Ecology.

In The Last Decade

Daniela Linder-Basso

7 papers receiving 510 citations

Author Peers

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

Author Last Decade Papers Cites
Daniela Linder-Basso 341 326 150 44 43 7 521
Marian Longstaff 357 1.0× 374 1.1× 66 0.4× 19 0.4× 24 0.6× 13 564
Magali Devic 251 0.7× 380 1.2× 88 0.6× 25 0.6× 47 1.1× 13 507
Laurence Vayssié 411 1.2× 177 0.5× 63 0.4× 132 3.0× 64 1.5× 8 550
Liuling Pei 258 0.8× 406 1.2× 99 0.7× 23 0.5× 46 1.1× 12 509
Rivka Steinlauf 410 1.2× 172 0.5× 68 0.5× 68 1.5× 32 0.7× 15 484
Stephen H. Howell 351 1.0× 264 0.8× 82 0.5× 18 0.4× 9 0.2× 6 513
Abdelmalek Alioua 269 0.8× 320 1.0× 43 0.3× 14 0.3× 16 0.4× 11 481
Marie-Christine Jacquemot-Perbal 313 0.9× 370 1.1× 31 0.2× 13 0.3× 34 0.8× 7 576
Zhengxiu Ye 362 1.1× 495 1.5× 31 0.2× 15 0.3× 61 1.4× 13 616
Gebhard Geier 304 0.9× 194 0.6× 26 0.2× 37 0.8× 119 2.8× 8 588

Countries citing papers authored by Daniela Linder-Basso

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Linder-Basso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Linder-Basso. 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 Daniela Linder-Basso. The network helps show where Daniela Linder-Basso may publish in the future.

Co-authorship network of co-authors of Daniela Linder-Basso

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Linder-Basso. A scholar is included among the top collaborators of Daniela Linder-Basso 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 Daniela Linder-Basso. Daniela Linder-Basso 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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