J.M. van der Wolf

6.3k total citations
174 papers, 4.1k citations indexed

About

J.M. van der Wolf is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, J.M. van der Wolf has authored 174 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Plant Science, 41 papers in Cell Biology and 18 papers in Molecular Biology. Recurrent topics in J.M. van der Wolf's work include Plant Pathogenic Bacteria Studies (118 papers), Plant-Microbe Interactions and Immunity (79 papers) and Plant Pathogens and Fungal Diseases (40 papers). J.M. van der Wolf is often cited by papers focused on Plant Pathogenic Bacteria Studies (118 papers), Plant-Microbe Interactions and Immunity (79 papers) and Plant Pathogens and Fungal Diseases (40 papers). J.M. van der Wolf collaborates with scholars based in Netherlands, United States and Poland. J.M. van der Wolf's co-authors include Robert Czajkowski, M. C. M. Pérombelon, Johannes A. van Veen, Ewa Łojkowska, J.R.C.M. van Beckhoven, Valérie Hélias, Grzegorz J. Grabe, P.S. van der Zouwen, Ian K. Toth and Waldo J. de Boer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Science of The Total Environment.

In The Last Decade

J.M. van der Wolf

164 papers receiving 3.9k 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.M. van der Wolf Netherlands 33 3.3k 1.3k 685 305 261 174 4.1k
Cees Waalwijk Netherlands 45 5.1k 1.5× 3.7k 2.9× 1.7k 2.5× 165 0.5× 234 0.9× 141 6.4k
Cayo Ramos Spain 34 1.9k 0.6× 649 0.5× 951 1.4× 375 1.2× 145 0.6× 87 2.9k
Christopher B. Lawrence United States 37 2.4k 0.7× 911 0.7× 1.3k 1.9× 49 0.2× 92 0.4× 58 3.9k
Nurit Katzir Israel 43 3.1k 0.9× 239 0.2× 1.7k 2.5× 178 0.6× 309 1.2× 109 5.2k
Ruslan Kalendar Finland 38 4.3k 1.3× 302 0.2× 2.0k 3.0× 345 1.1× 190 0.7× 141 5.4k
Yuki Ichinose Japan 40 3.5k 1.1× 400 0.3× 1.6k 2.4× 165 0.5× 197 0.8× 201 4.8k
Susanne Jacobsen Denmark 29 963 0.3× 114 0.1× 1.1k 1.6× 142 0.5× 357 1.4× 65 2.5k
Jana Žel Slovenia 32 1.7k 0.5× 115 0.1× 1.9k 2.7× 195 0.6× 137 0.5× 87 2.9k
Carlos Priminho Pirovani Brazil 24 1.3k 0.4× 94 0.1× 708 1.0× 121 0.4× 214 0.8× 143 2.2k
Nurit Firon Israel 28 1.6k 0.5× 169 0.1× 1.3k 2.0× 125 0.4× 261 1.0× 44 2.7k

Countries citing papers authored by J.M. van der Wolf

Since Specialization
Citations

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

Fields of papers citing papers by J.M. van der Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. van der Wolf. 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.M. van der Wolf. The network helps show where J.M. van der Wolf may publish in the future.

Co-authorship network of co-authors of J.M. van der Wolf

This figure shows the co-authorship network connecting the top 25 collaborators of J.M. van der Wolf. A scholar is included among the top collaborators of J.M. van der Wolf 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.M. van der Wolf. J.M. van der Wolf 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.
2.
Wolf, J.M. van der, et al.. (2025). A Novel Approach for Modelling Loads on Profiled Cutting Tools. Procedia CIRP. 133. 394–399. 1 indexed citations
3.
Wolf, J.M. van der, et al.. (2024). Image Based Detection of Coating Wear on Cutting Tools with Machine Learning. Journal of Machine Engineering. 25(1). 57–67. 1 indexed citations
4.
Wolf, J.M. van der, et al.. (2024). Transient Wear Modelling of Coated Cutting Tools. Procedia CIRP. 130. 1827–1831. 3 indexed citations
5.
Kurm, Viola, O. Mendes, Jack Gros, & J.M. van der Wolf. (2023). Potato tuber origin and microbial composition determines resistance against soft rot Pectobacteriaceae. European Journal of Plant Pathology. 168(2). 383–399. 6 indexed citations
6.
Nečas, Tomáš, et al.. (2023). Evaluation of Nursery Traits in Japanese Plums on Five Different Rootstocks. Horticulturae. 9(3). 318–318. 2 indexed citations
7.
Nijhuis, E.H., et al.. (2021). Circular alternatives to peat in growing media: A microbiome perspective. Journal of Cleaner Production. 327. 129375–129375. 32 indexed citations
8.
Waleron, Małgorzata, Thomas Schott, Ilse Cleenwerck, et al.. (2020). Pectobacterium parvum sp. nov., having a Salmonella SPI-1-like Type III secretion system and low virulence. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 70(4). 2440–2448. 41 indexed citations
9.
10.
Krijger, M.C., et al.. (2020). Molecular characterization of Pseudomonas from Agaricus bisporus caps reveal novel blotch pathogens in Western Europe. BMC Genomics. 21(1). 505–505. 15 indexed citations
11.
Polder, G., et al.. (2019). Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images. Frontiers in Plant Science. 10. 209–209. 149 indexed citations
12.
Hannukkala, Asko, et al.. (2018). Biological control of potato soft rot caused by Dickeya solani and the survival of bacterial antagonists under cold storage conditions. Plant Pathology. 68(2). 297–311. 29 indexed citations
13.
Visser, Richard G. F., et al.. (2018). Development of an in vitro protocol to screen Clavibacter michiganensis subsp. michiganensis pathogenicity in different Solanum species. Plant Pathology. 68(1). 42–48. 12 indexed citations
14.
Wolf, J.M. van der, et al.. (2016). Characterization of Pseudomonas species causing brown blotch of Agaricus bisporis. Socio-Environmental Systems Modeling. 1 indexed citations
15.
Wolf, J.M. van der, Robert Czajkowski, & H. Velvis. (2009). Effective colonisation of potato plants by Dickeya species (Erwinia chrysanthemi).. 40(4). 169–171. 1 indexed citations
16.
Wolf, J.M. van der, Robert Czajkowski, & H. Velvis. (2008). Why is Dickeya spp. (syn. Erwinia chrysanthemi) taking over? - The ecology of a blackleg pathogen. Socio-Environmental Systems Modeling. 39. 238–238. 3 indexed citations
17.
Groot, S.P.C., H. Jalink, J. Köhl, et al.. (2006). Improvement of the quality of propagation material for organic farming system. Socio-Environmental Systems Modeling. 408–409. 2 indexed citations
18.
Velvis, H. & J.M. van der Wolf. (2006). Eerste jaar Erwinia-project legt topje van de ijsberg bloot. Socio-Environmental Systems Modeling. 18–19. 2 indexed citations
19.
Hukkanen, Anne, Riikka Karjalainen, Steen Lykke Nielsen, & J.M. van der Wolf. (2005). Epidemiology of Clavibacter michiganensis subsp. sepedonicus in potato under European conditions: population development and yield reduction. Socio-Environmental Systems Modeling. 112(1). 88–97. 8 indexed citations
20.
Köhl, J. & J.M. van der Wolf. (2005). Alternaria brassicicola and Xanthomonas campestris pv. campestris in organic seed production of Brassicae: Epidemiology and seed infection. Organic Eprints (International Centre for Research in Organic Food Systems, and Research Institute of Organic Agriculture). 7 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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