J. Schuurmans

717 total citations
11 papers, 562 citations indexed

About

J. Schuurmans is a scholar working on Plant Science, Molecular Biology and Surgery. According to data from OpenAlex, J. Schuurmans has authored 11 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 6 papers in Molecular Biology and 1 paper in Surgery. Recurrent topics in J. Schuurmans's work include Plant nutrient uptake and metabolism (7 papers), Plant Molecular Biology Research (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). J. Schuurmans is often cited by papers focused on Plant nutrient uptake and metabolism (7 papers), Plant Molecular Biology Research (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). J. Schuurmans collaborates with scholars based in Netherlands and Germany. J. Schuurmans's co-authors include Sjef Smeekens, Bas J. W. Dekkers, A. C. Borstlap, Anika Wiese‐Klinkenberg, Johannes Hanson, Maureen Hummel, Joost T. van Dongen, Bas Rutjens, Alex Boonman and Corné M. J. Pieterse and has published in prestigious journals such as PLANT PHYSIOLOGY, Planta and Plant Molecular Biology.

In The Last Decade

J. Schuurmans

11 papers receiving 543 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Schuurmans Netherlands 8 484 275 17 17 13 11 562
Mohamed Ali Ghars France 8 422 0.9× 226 0.8× 19 1.1× 4 0.2× 15 1.2× 8 463
Pablo Albertos Spain 8 572 1.2× 276 1.0× 20 1.2× 6 0.4× 6 0.5× 9 643
Julia Wind Netherlands 4 514 1.1× 263 1.0× 14 0.8× 20 1.2× 24 1.8× 4 571
S. Fieuw Australia 10 371 0.8× 149 0.5× 11 0.6× 6 0.4× 13 1.0× 10 405
Jérémie Bazin France 5 498 1.0× 183 0.7× 7 0.4× 10 0.6× 9 0.7× 5 536
Barbara Eva Koffler Austria 9 269 0.6× 193 0.7× 24 1.4× 9 0.5× 18 1.4× 9 347
Georgios Aivalakis Greece 13 379 0.8× 176 0.6× 13 0.8× 4 0.2× 12 0.9× 26 426
Mireille de Meyer Switzerland 8 490 1.0× 300 1.1× 3 0.2× 27 1.6× 9 0.7× 9 550
Mathieu Castelain France 5 379 0.8× 256 0.9× 29 1.7× 13 0.8× 15 1.2× 6 437
Hamid Sobhanian Iran 5 394 0.8× 211 0.8× 7 0.4× 6 0.4× 10 0.8× 8 434

Countries citing papers authored by J. Schuurmans

Since Specialization
Citations

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

Fields of papers citing papers by J. Schuurmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Schuurmans

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

All Works

11 of 11 papers shown
1.
Hummel, Maureen, et al.. (2009). Sucrose Control of Translation Mediated by an Upstream Open Reading Frame-Encoded Peptide    . PLANT PHYSIOLOGY. 150(3). 1356–1367. 136 indexed citations
2.
Dekkers, Bas J. W., J. Schuurmans, & Sjef Smeekens. (2008). Interaction between sugar and abscisic acid signalling during early seedling development in Arabidopsis. Plant Molecular Biology. 67(1-2). 151–167. 129 indexed citations
3.
Borstlap, A. C. & J. Schuurmans. (2004). Sucrose Transport into Plasma Membrane Vesicles from Tobacco Leaves by H+ Symport or Counter Exchange Does not Display a Linear Component. The Journal of Membrane Biology. 198(1). 31–42. 12 indexed citations
4.
Dekkers, Bas J. W., J. Schuurmans, & Sjef Smeekens. (2004). Glucose delays seed germination in Arabidopsis thaliana. Planta. 218(4). 579–588. 127 indexed citations
5.
Smeekens, Sjef, et al.. (2003). Sucrose specific signalling. 6 indexed citations
6.
Schuurmans, J., et al.. (2003). Members of the aquaporin family in the developing pea seed coat include representatives of the PIP, TIP, and NIP subfamilies. Plant Molecular Biology. 53(5). 655–667. 69 indexed citations
7.
Schuurmans, J., et al.. (2000). Proton-Symport of l-Valine in Plasma Membrane Vesicles Isolated from Leaves of the Wild-Type and the Valr-2 Mutant of Nicotiana tabacum L.. Plant and Cell Physiology. 41(11). 1210–1217. 3 indexed citations
9.
Borstlap, A. C. & J. Schuurmans. (1988). Kinetics of L-valine uptake in tobacco leaf discs. Comparison of wild-type, the digenic mutant Valr-2, and its monogenic derivatives. Planta. 176(1). 42–50. 26 indexed citations
10.
Borstlap, A. C., et al.. (1987). Transport of 2-aminoisobutyric acid in mesophyll protoplasts of Pisum sativum L. Application of silicone oil layer centrifugation. Plant Science. 48(1). 55–62. 3 indexed citations
11.
Ruiter, H. de, J. Schuurmans, & C. Kollöffel. (1984). Amino Acid Leakage from Cotyledons of Developing and Germinating Pea Seeds. Journal of Plant Physiology. 116(1). 47–57. 20 indexed citations

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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