A.P.M. den Nijs

1.4k total citations
67 papers, 692 citations indexed

About

A.P.M. den Nijs is a scholar working on Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, A.P.M. den Nijs has authored 67 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 24 papers in Genetics and 19 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in A.P.M. den Nijs's work include Advances in Cucurbitaceae Research (22 papers), Plant Virus Research Studies (7 papers) and Plant and fungal interactions (7 papers). A.P.M. den Nijs is often cited by papers focused on Advances in Cucurbitaceae Research (22 papers), Plant Virus Research Studies (7 papers) and Plant and fungal interactions (7 papers). A.P.M. den Nijs collaborates with scholars based in Netherlands, United States and India. A.P.M. den Nijs's co-authors include D. L. Visser, A. Elgersma, Younglim Kho, Andrew G. Stephenson, J.B.M. Custers, John Franken, M.T.M. Willemse, Tamara N. Naumova, Ritsert C. Jansen and L.W.D. van Raamsdonk and has published in prestigious journals such as Evolution, Journal of Plant Physiology and Euphytica.

In The Last Decade

A.P.M. den Nijs

60 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A.P.M. den Nijs Netherlands	16	530	268	204	179	90	67	692
G. M. M. Bredemeijer Netherlands	14	803 1.5×	387 1.4×	150 0.7×	302 1.7×	21 0.2×	33	952
G. Esselink Netherlands	16	675 1.3×	420 1.6×	212 1.0×	341 1.9×	19 0.2×	27	921
Amy K. Szewc‐McFadden United States	9	804 1.5×	324 1.2×	132 0.6×	333 1.9×	28 0.3×	12	922
Sonja Šiljak-Yakovlev France	15	533 1.0×	269 1.0×	266 1.3×	136 0.8×	32 0.4×	30	681
Jon F. Fobes United States	14	623 1.2×	320 1.2×	309 1.5×	230 1.3×	28 0.3×	15	866
W. Rus-Kortekaas Netherlands	9	490 0.9×	278 1.0×	61 0.3×	150 0.8×	17 0.2×	9	578
G. S. C. Buso Brazil	13	438 0.8×	102 0.4×	88 0.4×	224 1.3×	45 0.5×	29	558
D. Struss Germany	19	962 1.8×	427 1.6×	81 0.4×	313 1.7×	23 0.3×	33	1.1k
Dan Atsmon Israel	16	645 1.2×	313 1.2×	70 0.3×	81 0.5×	52 0.6×	44	745
D. L. Visser Netherlands	12	427 0.8×	244 0.9×	136 0.7×	167 0.9×	28 0.3×	20	536

Countries citing papers authored by A.P.M. den Nijs

Since Specialization

Citations

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

Fields of papers citing papers by A.P.M. den Nijs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.P.M. den Nijs. 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 A.P.M. den Nijs. The network helps show where A.P.M. den Nijs may publish in the future.

Co-authorship network of co-authors of A.P.M. den Nijs

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Scholten, Olga E., et al.. (2002). Food safety of cereals: a chain wide approach to reduce Fusarium mycotoxins. Socio-Environmental Systems Modeling. 15 indexed citations

Haymes, K.M., Eric van de Weg, Paul Arens, et al.. (2000). Development of SCAR Markers Linked to a Phytophthora fragariae Resistance Gene and Their Assessment in European and North American Strawberry Genotypes. Journal of the American Society for Horticultural Science. 125(3). 330–339. 37 indexed citations

Weg, Eric van de, et al.. (1996). A quantitative classification method for assessing resistance to Phytophthora fragariae var. fragariae in strawberry. Euphytica. 91(1). 119–125. 4 indexed citations

Nijs, A.P.M. den, et al.. (1992). Implications of 2n pollen for breeding tetraploid perennial ryegrass. Socio-Environmental Systems Modeling. 7 indexed citations

Ledent, J. F., et al.. (1992). Effects of Simulated Hail Damage on the Yield of Forage Maize. Journal of Agronomy and Crop Science. 168(1). 13–19. 4 indexed citations

Nijs, A.P.M. den, et al.. (1991). Fruit and seed set in the cucumber (Cucumis sativus L.) in relation to pollen tube growth, sex type and parthenocarpy. 56. 46–49. 7 indexed citations

Nijs, A.P.M. den, et al.. (1991). The Effect of Low Root Temperature on Growth and Lipid Composition of Low Temperature Tolerant Rootstock Genotypes for Cucumber. Journal of Plant Physiology. 138(6). 661–666. 42 indexed citations

Raamsdonk, L.W.D. van, et al.. (1989). Meiotic analyses of Cucumis hybrids and an evolutionary evaluation of the genus Cucumis. Plant System. Evolution. 163. 133–146. 3 indexed citations

Elgersma, A., Andrew G. Stephenson, & A.P.M. den Nijs. (1989). Effects of genotype and temperature on pollen tube growth in perennial ryegrass (Lolium perenne L.). Sexual Plant Reproduction. 2(4). 225–230. 55 indexed citations

10.

Raamsdonk, L.W.D. van, et al.. (1989). Meiotic analyses ofCucumis hybrids and an evolutionary evaluation of the genusCucumis (Cucurbitaceae). Plant Systematics and Evolution. 163(3-4). 133–146. 24 indexed citations

11.

Snijders, C. H. A., et al.. (1989). Selection for Drechslera poae resistance in Kentucky bluegrass (Poa pratensis) following artificial inoculation. 247–250. 1 indexed citations

12.

Hogenboom, N. G., et al.. (1986). Pollen selection in breeding tomato (lycopersicon esculentum Mill.) for adaptation to low temperature. Euphytica. 35(3). 983–992. 12 indexed citations

13.

Nijs, A.P.M. den. (1985). ROOTSTOCK-SCION INTERACTIONS IN THE CUCUMBER: IMPLICATIONS FOR CULTIVATION AND BREEDING. Acta Horticulturae. 53–60. 8 indexed citations

14.

Nijs, A.P.M. den & D. L. Visser. (1984). Improving fertility of tetraploid cucumbers. Socio-Environmental Systems Modeling. 12–13. 1 indexed citations

15.

Boukema, I.W. & A.P.M. den Nijs. (1984). Lycopersicon peruvianum, a valuable source of genetic variation for tomato breeders, but difficult to exploit. Socio-Environmental Systems Modeling. 107–112. 3 indexed citations

16.

Nijs, A.P.M. den. (1983). Competition between irradiated and fresh pollen in Cucumis sativus L. Socio-Environmental Systems Modeling. 3 indexed citations

17.

Visser, D. L. & A.P.M. den Nijs. (1983). Variation for interspecific crossability of Cucumis anguria L. and C. zeyheri Sond. Socio-Environmental Systems Modeling. 100–101. 2 indexed citations

18.

Nijs, A.P.M. den, et al.. (1982). Parthenocarpic fruit set in glasshouse grown zucchini squash. Socio-Environmental Systems Modeling. 44–45. 4 indexed citations

19.

Nijs, A.P.M. den, et al.. (1980). Effect of mentor pollen on pistil-pollen incongruities among species of Cucumis L.. Euphytica. 29(2). 267–271. 23 indexed citations

20.

Lower, R. L. & A.P.M. den Nijs. (1979). Effect of plant type genes on growth and sex expression of pickling cucumber. HortScience. 14. 435–435. 1 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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