E. Tapio Palva

76 total papers · 8.3k total citations
60 papers, 5.8k citations indexed

About

E. Tapio Palva is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, E. Tapio Palva has authored 60 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Plant Science, 32 papers in Molecular Biology and 7 papers in Biotechnology. Recurrent topics in E. Tapio Palva's work include Plant Stress Responses and Tolerance (20 papers), Plant-Microbe Interactions and Immunity (15 papers) and Plant Molecular Biology Research (15 papers). E. Tapio Palva is often cited by papers focused on Plant Stress Responses and Tolerance (20 papers), Plant-Microbe Interactions and Immunity (15 papers) and Plant Molecular Biology Research (15 papers). E. Tapio Palva collaborates with scholars based in Finland, Sweden and Norway. E. Tapio Palva's co-authors include Günter Brader, Jing Li, Annikki Welling, Pekka Heino, Sébastien Besseau, Jing Li, Tarja Kariola, Olavi Junttila, Jing Li and Chunyang Li and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

E. Tapio Palva

59 papers receiving 5.5k citations

Hit Papers

The WRKY70 Transcription ... 2004 2026 2011 2018 2004 250 500 750

Author Peers

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

Author Last Decade Papers Cites
E. Tapio Palva 4.6k 3.1k 308 296 286 60 5.8k
Tina Romeis 6.7k 1.5× 3.4k 1.1× 245 0.8× 100 0.3× 308 1.1× 64 7.7k
Lutz Nover 4.2k 0.9× 6.1k 2.0× 685 2.2× 129 0.4× 399 1.4× 84 7.7k
Klaus‐Dieter Scharf 5.1k 1.1× 6.6k 2.1× 692 2.2× 191 0.6× 395 1.4× 59 8.4k
Javier Terol 3.1k 0.7× 3.0k 1.0× 475 1.5× 150 0.5× 432 1.5× 49 5.8k
Frédéric Domergue 3.5k 0.8× 3.1k 1.0× 154 0.5× 150 0.5× 193 0.7× 71 5.6k
Paul M. Hasegawa 10.8k 2.4× 6.5k 2.1× 259 0.8× 194 0.7× 507 1.8× 109 13.1k
D. H. LEWIS 3.0k 0.7× 2.8k 0.9× 202 0.7× 135 0.5× 316 1.1× 124 5.6k
Sean R. Cutler 9.1k 2.0× 4.9k 1.6× 188 0.6× 139 0.5× 298 1.0× 80 10.8k
Xuewen Wang 4.7k 1.0× 4.3k 1.4× 272 0.9× 89 0.3× 269 0.9× 104 7.1k
Pablo Vera 3.4k 0.7× 2.1k 0.7× 208 0.7× 72 0.2× 235 0.8× 97 4.3k

Countries citing papers authored by E. Tapio Palva

Since Specialization
Citations

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

Fields of papers citing papers by E. Tapio Palva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Tapio Palva. 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 E. Tapio Palva. The network helps show where E. Tapio Palva may publish in the future.

Co-authorship network of co-authors of E. Tapio Palva

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026