Bas te Lintel Hekkert

20 total papers · 2.2k total citations
14 papers, 1.3k citations indexed

About

Bas te Lintel Hekkert is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Bas te Lintel Hekkert has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 6 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Bas te Lintel Hekkert's work include Plant Virus Research Studies (5 papers), Plant Pathogens and Resistance (5 papers) and Plant Disease Resistance and Genetics (4 papers). Bas te Lintel Hekkert is often cited by papers focused on Plant Virus Research Studies (5 papers), Plant Pathogens and Resistance (5 papers) and Plant Disease Resistance and Genetics (4 papers). Bas te Lintel Hekkert collaborates with scholars based in Netherlands, United States and Brazil. Bas te Lintel Hekkert's co-authors include Andy Pereira, Willem J. Stiekema, Mark G. M. Aarts, Jack Gros, Sjefke Allefs, Patricia Stevens, Doret Wouters, Mariëlle Muskens, Edwin van der Vossen and Eric B. Holub and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and The Plant Journal.

In The Last Decade

Bas te Lintel Hekkert

14 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Bas te Lintel Hekkert 1.2k 536 274 137 97 14 1.3k
Bilal Ökmen 1.1k 0.9× 369 0.7× 366 1.3× 94 0.7× 77 0.8× 26 1.3k
Francisco Amil‐Ruíz 790 0.7× 662 1.2× 174 0.6× 63 0.5× 110 1.1× 27 1.1k
Franck Curk 866 0.8× 539 1.0× 185 0.7× 173 1.3× 234 2.4× 23 1.3k
C. M. B. Damasceno 971 0.8× 568 1.1× 107 0.4× 67 0.5× 61 0.6× 24 1.3k
Hernán G. Rosli 1.3k 1.1× 537 1.0× 83 0.3× 100 0.7× 121 1.2× 24 1.5k
Fred Y Peng 790 0.7× 831 1.6× 76 0.3× 226 1.6× 43 0.4× 15 1.2k
Diego Micheletti 846 0.7× 752 1.4× 136 0.5× 86 0.6× 289 3.0× 34 1.2k
Nancy T. Eannetta 825 0.7× 554 1.0× 97 0.4× 96 0.7× 98 1.0× 13 1.1k
Maggie Levy 1.0k 0.9× 753 1.4× 198 0.7× 120 0.9× 48 0.5× 32 1.4k
Justin Lashbrooke 894 0.8× 582 1.1× 46 0.2× 177 1.3× 115 1.2× 19 1.1k

Countries citing papers authored by Bas te Lintel Hekkert

Since Specialization
Citations

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

Fields of papers citing papers by Bas te Lintel Hekkert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bas te Lintel Hekkert. 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 Bas te Lintel Hekkert. The network helps show where Bas te Lintel Hekkert may publish in the future.

Co-authorship network of co-authors of Bas te Lintel Hekkert

This figure shows the co-authorship network connecting the top 25 collaborators of Bas te Lintel Hekkert. A scholar is included among the top collaborators of Bas te Lintel Hekkert 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 Bas te Lintel Hekkert. Bas te Lintel Hekkert 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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