Jan Schripsema

4.0k total citations
123 papers, 2.9k citations indexed

About

Jan Schripsema is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Jan Schripsema has authored 123 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 57 papers in Molecular Biology and 18 papers in Pharmacology. Recurrent topics in Jan Schripsema's work include Natural product bioactivities and synthesis (22 papers), Phytochemistry and Biological Activities (21 papers) and Plant tissue culture and regeneration (16 papers). Jan Schripsema is often cited by papers focused on Natural product bioactivities and synthesis (22 papers), Phytochemistry and Biological Activities (21 papers) and Plant tissue culture and regeneration (16 papers). Jan Schripsema collaborates with scholars based in Brazil, Netherlands and Denmark. Jan Schripsema's co-authors include Robert Verpoorte, Denise Dagnino, Gilsane Lino von Poser, Raimundo Braz‐Filho, Ben Lugtenberg, Jan W. Kijne, Amélia T. Henriques, Moacir Geraldo Pizzolatti, Anton A. N. van Brussel and A A van Brussel and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Agricultural and Food Chemistry.

In The Last Decade

Jan Schripsema

120 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Schripsema Brazil 31 1.5k 1.2k 374 343 285 123 2.9k
Djaja D. Soejarto United States 30 1.2k 0.8× 1.3k 1.1× 451 1.2× 443 1.3× 297 1.0× 80 2.9k
Catherine Lavaud France 29 1.0k 0.7× 1.7k 1.4× 258 0.7× 374 1.1× 185 0.6× 126 2.5k
Otília Deusdênia Loiola Pessoa Brazil 26 900 0.6× 1.1k 0.9× 439 1.2× 596 1.7× 358 1.3× 198 3.0k
João Batista Fernandes Brazil 28 1.4k 0.9× 1.2k 1.0× 229 0.6× 378 1.1× 211 0.7× 206 3.3k
Jamil A. Shilpi Bangladesh 29 1.2k 0.8× 885 0.7× 474 1.3× 673 2.0× 220 0.8× 94 2.9k
Mauro Ballero Italy 34 1.6k 1.1× 1.2k 1.0× 262 0.7× 851 2.5× 355 1.2× 115 3.1k
Amir Reza Jassbi Iran 25 1.1k 0.7× 1.4k 1.1× 222 0.6× 663 1.9× 273 1.0× 120 2.7k
Lourdes Campaner dos Santos Brazil 27 1.0k 0.7× 832 0.7× 306 0.8× 544 1.6× 211 0.7× 122 2.4k
Pablo N. Solís Panama 26 839 0.5× 674 0.6× 429 1.1× 400 1.2× 287 1.0× 67 2.0k
Sabira Begum Pakistan 27 907 0.6× 761 0.6× 479 1.3× 559 1.6× 152 0.5× 121 2.1k

Countries citing papers authored by Jan Schripsema

Since Specialization
Citations

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

Fields of papers citing papers by Jan Schripsema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Schripsema

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

All Works

20 of 20 papers shown
1.
Dagnino, Denise, et al.. (2024). Holistic analysis of glyphosate formulations with nuclear magnetic resonance, similarity calculations and differential NMR. Microchemical Journal. 205. 111199–111199. 1 indexed citations
2.
Silva, Eliane de Oliveira, et al.. (2024). Endophytic Fungi Co-Culture: An Alternative Source of Antimicrobial Substances. Microorganisms. 12(12). 2413–2413. 3 indexed citations
3.
Meirelles, Gabriela de Carvalho, Keli Cristine Reiter, Gilson Pires Dorneles, et al.. (2024). Anti-Leishmania effect of icetexanes from Salvia procurrens. Phytomedicine. 131. 155796–155796. 2 indexed citations
4.
Ferreira, Antônio G., et al.. (2024). Antioxidant Potential and Chemical Evaluation of Extracts from Endophytic Fungus Lasiodiplodia sp.. Chemistry & Biodiversity. 22(1). e202401649–e202401649. 1 indexed citations
5.
6.
Schripsema, Jan, et al.. (2021). Differential NMR and chromatography for the detection and analysis of adulteration of vetiver essential oils. Talanta. 237. 122928–122928. 16 indexed citations
7.
Dagnino, Denise, et al.. (2021). Rapid and accurate verification of drug identity, purity and quality by 1H-NMR using similarity calculations and differential NMR. Journal of Pharmaceutical and Biomedical Analysis. 199. 114040–114040. 9 indexed citations
8.
Schripsema, Jan & Denise Dagnino. (2018). Two-Phase Extraction for Comprehensive Analysis of the Plant Metabolome by NMR. Methods in molecular biology. 1738. 195–202. 4 indexed citations
9.
Schripsema, Jan, et al.. (2015). Persistence of Only a Minute Viable Population in Chlorotic Microcystis aeruginosa PCC 7806 Cultures Obtained by Nutrient Limitation. PLoS ONE. 10(7). e0133075–e0133075. 6 indexed citations
10.
11.
Pizzolatti, Moacir Geraldo, Inês Maria Costa Brighente, Adaı́lton J. Bortoluzzi, Jan Schripsema, & Luiz Gonzaga Verdi. (2007). Cyathenosin A, a spiropyranosyl derivative of protocatechuic acid from Cyathea phalerata. Phytochemistry. 68(9). 1327–1330. 10 indexed citations
12.
Cargnin, Simone Tasca, et al.. (2007). Herpes virus inhibitory substances from Hypericum connatum Lam., a plant used in southern Brazil to treat oral lesions. Journal of Ethnopharmacology. 113(3). 517–520. 39 indexed citations
13.
Dagnino, Denise & Jan Schripsema. (2005). 1H NMR quantification in very dilute toxin solutions: application to anatoxin-a analysis. Toxicon. 46(2). 236–240. 24 indexed citations
14.
Ferraz, Alexandre de Barros Falcão, Sérgio Augusto de Loreto Bordignon, Charley Christian Staats, Jan Schripsema, & Gilsane Lino von Poser. (2001). Benzopyrans from Hypericum polyanthemum. Phytochemistry. 57(8). 1227–1230. 42 indexed citations
15.
Poser, Gilsane Lino von, et al.. (2000). The Distribution of Iridoids in Labiatae sensu Lato. 19(1). 69–71. 1 indexed citations
16.
Dagnino, Denise, Jan Schripsema, & Robert Verpoorte. (1996). Analysis of Several Iridoid and Indole Precursors of Terpenoid Indole Alkaloids with a Single HPLC Run. Planta Medica. 62(3). 278–280. 19 indexed citations
17.
Schripsema, Jan & Robert Verpoorte. (1995). Primary and secondary metabolism of plants and cell cultures III : proceedings of the workshop held in Leiden, the Netherlands, 4-7 April 1993. Kluwer Academic Publishers eBooks. 1 indexed citations
18.
19.
Schripsema, Jan, Cornelis Erkelens, & Robert Verpoorte. (1991). Intra- and extracellular carbohydrates in plant cell cultures investigated by 1H-NMR. Plant Cell Reports. 9(9). 527–30. 15 indexed citations
20.
Recourt, Kees, Jan Schripsema, Jan W. Kijne, Anton A. N. van Brussel, & Ben Lugtenberg. (1991). Inoculation of Vicia sativa subsp. nigra roots with Rhizobium leguminosarum biovar viciae results in release of nod gene activating flavanones and chalcones. Plant Molecular Biology. 16(5). 841–852. 79 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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