Heiti Paves

24 total papers · 607 total citations
17 papers, 474 citations indexed

About

Heiti Paves is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Heiti Paves has authored 17 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Plant Science and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Heiti Paves's work include Plant Reproductive Biology (5 papers), Plant Virus Research Studies (4 papers) and Signaling Pathways in Disease (3 papers). Heiti Paves is often cited by papers focused on Plant Reproductive Biology (5 papers), Plant Virus Research Studies (4 papers) and Signaling Pathways in Disease (3 papers). Heiti Paves collaborates with scholars based in Estonia, United States and Sweden. Heiti Paves's co-authors include Märt Saarma, Erkki Truve, Kadri Järve, Toomas Neuman, Madis Metsis, Tiina Tamm, Allan Olspert, Maarja Andaloussi Mäe, Andres Valkna and Ülo Langel and has published in prestigious journals such as FEBS Letters, Biochimica et Biophysica Acta (BBA) - Biomembranes and Experimental Cell Research.

In The Last Decade

Heiti Paves

17 papers receiving 465 citations

Author Peers

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

Author Last Decade Papers Cites
Heiti Paves 285 194 130 89 48 17 474
Vered Holdengreber 164 0.6× 115 0.6× 127 1.0× 35 0.4× 63 1.3× 19 411
Lorène Aeschbach 283 1.0× 50 0.3× 101 0.8× 81 0.9× 6 0.1× 17 469
Takako Kaneko‐Kawano 204 0.7× 122 0.6× 139 1.1× 155 1.7× 27 0.6× 12 439
Jae Hwan Goo 357 1.3× 68 0.4× 82 0.6× 145 1.6× 9 0.2× 14 489
Vincent W. Wu 304 1.1× 110 0.6× 116 0.9× 49 0.6× 10 0.2× 12 427
Junbo Peng 199 0.7× 162 0.8× 43 0.3× 81 0.9× 32 0.7× 32 413
Andy Schneider 316 1.1× 56 0.3× 148 1.1× 34 0.4× 7 0.1× 21 511
Gregory Heller 233 0.8× 220 1.1× 81 0.6× 80 0.9× 9 0.2× 16 538
Mamta Rai 265 0.9× 116 0.6× 55 0.4× 59 0.7× 7 0.1× 26 522
Yanli Niu 294 1.0× 316 1.6× 44 0.3× 15 0.2× 24 0.5× 20 537

Countries citing papers authored by Heiti Paves

Since Specialization
Citations

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

Fields of papers citing papers by Heiti Paves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heiti Paves. 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 Heiti Paves. The network helps show where Heiti Paves may publish in the future.

Co-authorship network of co-authors of Heiti Paves

This figure shows the co-authorship network connecting the top 25 collaborators of Heiti Paves. A scholar is included among the top collaborators of Heiti Paves 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 Heiti Paves. Heiti Paves 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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