Thamara Hesselink

36 total papers · 4.5k total citations
18 papers, 634 citations indexed

About

Thamara Hesselink is a scholar working on Plant Science, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Thamara Hesselink has authored 18 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 10 papers in Molecular Biology and 4 papers in Organic Chemistry. Recurrent topics in Thamara Hesselink's work include Chromosomal and Genetic Variations (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Plant Virus Research Studies (4 papers). Thamara Hesselink is often cited by papers focused on Chromosomal and Genetic Variations (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Plant Virus Research Studies (4 papers). Thamara Hesselink collaborates with scholars based in Netherlands, United States and Germany. Thamara Hesselink's co-authors include Cees Waalwijk, Ineke de Vries, Théo van der Lee, G.H.J. Kema, P. Kastelein, Zoltán Kerényi, J. Köhl, Elio Schijlen, Sander Peters and J.A.J. Arts and has published in prestigious journals such as PLANT PHYSIOLOGY, The Plant Journal and PLoS Genetics.

In The Last Decade

Thamara Hesselink

18 papers receiving 613 citations

Author Peers

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

Author Last Decade Papers Cites
Thamara Hesselink 470 272 203 60 50 18 634
Noël Magnin 279 0.6× 292 1.1× 260 1.3× 23 0.4× 33 0.7× 14 715
D. R. Sonneborn 168 0.4× 133 0.5× 439 2.2× 75 1.3× 21 0.4× 24 672
Sandra L. Jackson 293 0.6× 136 0.5× 352 1.7× 71 1.2× 24 0.5× 17 561
R. E. Reichle 355 0.8× 218 0.8× 393 1.9× 93 1.6× 44 0.9× 19 689
James E. Jurgenson 583 1.2× 350 1.3× 291 1.4× 53 0.9× 25 0.5× 20 769
Laura Garnjobst 282 0.6× 139 0.5× 480 2.4× 40 0.7× 89 1.8× 20 710
Marcia M. Falconer 243 0.5× 240 0.9× 386 1.9× 24 0.4× 14 0.3× 14 563
DJ Goodchild 428 0.9× 44 0.2× 229 1.1× 50 0.8× 16 0.3× 18 606
Consuelo Montesinos 526 1.1× 43 0.2× 419 2.1× 16 0.3× 19 0.4× 14 764
Jacques Pédron 595 1.3× 248 0.9× 174 0.9× 25 0.4× 15 0.3× 36 743

Countries citing papers authored by Thamara Hesselink

Since Specialization
Citations

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

Fields of papers citing papers by Thamara Hesselink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thamara Hesselink

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