J.W. van Ooijen

2.1k citations
20 papers · 1.7k indexed · h-index 15
Topics
Genetic Mapping and Diversity in Plants and Animals (10 papers)Genetics and Plant Breeding (8 papers)Wheat and Barley Genetics and Pathology (5 papers)

In The Last Decade

J.W. van Ooijen

20 papers receiving 1.6k citations

Peers

J.W. van Ooijen
Comparison fields: 5 of 65
  • Plant Science 1.5k
  • Genetics 723
  • Molecular Biology 370
  • Cell Biology 122
  • Agronomy and Crop Science 93
Replace Cláudio Brondani with:
Cláudio Brondani Brazil
Ramesh V. Kantety United States
Rosana Pereira Vianello Brazil
Dina A. St. Clair United States
M. Nurul Islam‐Faridi United States
J. W. Van Ooijen Netherlands
Edward Fickus United States
Prasanna R. Bhat United States
Petra Wolters United States
Jinguo Hu United States
J.W. van Ooijen relative to Cláudio Brondani Brazil Cláudio Brondani's profile →
Citations per field
00.5×1.5×
Cláudio Brondani · 1×
Citations per year

Countries citing papers authored by J.W. van Ooijen

Since Specialization
Citations

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

Fields of papers citing papers by J.W. van Ooijen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.W. van Ooijen

This figure shows the co-authorship network connecting the top 25 collaborators of J.W. van Ooijen. A scholar is included among the top collaborators of J.W. van Ooijen 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.W. van Ooijen. J.W. van Ooijen 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
#WorkIndexed citations
1 13
2
Software for the mapping of quantitative trait loci in experimental populations
122
3 33
4 101
5
MapQTL 4.0: Software for the calculation of QTL positions on genetic maps (user manual)
107
6 218
7
MapQTL (tm) version 3.0: Software for the calculation of QTL positions on genetic maps
138
8 109
9
JoinMap, version 2.0.
2
10 47
11 180
12 49
13 77
14 23
15 49
16 400
17 6
18 4
19 8
20 25

About J.W. van Ooijen

J.W. van Ooijen is a scholar working on Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetics and Plant Breeding (8 papers) and Wheat and Barley Genetics and Pathology (5 papers). The work is most often cited by research in Plant Science (1.5k citations), Horticulture (25 citations) and Genetics (723 citations). J.W. van Ooijen has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Chris Maliepaard, Rick Jansen, P. Stam, Caroline Dean, Ronald Jansen, Martin P. Boer, C. M. Kreike, W. J. Stiekema, J. R. A. de Koning and Carlos Alonso‐Blanco. Their work appears in journals such as Theoretical and Applied Genetics, Heredity and Euphytica.

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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