M.C.A.M. Bink

4.9k citations
93 papers · 2.8k indexed · h-index 32
Topics
Genetic Mapping and Diversity in Plants and Animals (60 papers)Genetic and phenotypic traits in livestock (47 papers)Genetics and Plant Breeding (23 papers)

In The Last Decade

M.C.A.M. Bink

90 papers receiving 2.7k citations

Peers

M.C.A.M. Bink
Comparison fields: 5 of 109
  • Plant Science 2.0k
  • Genetics 1.4k
  • Molecular Biology 774
  • Cell Biology 276
  • Ecology, Evolution, Behavior and Systematics 136
Replace Brigitte Mangin with:
Brigitte Mangin France
Weiming He China
Vincent Segura France
I. Vroh Bi Belgium
Gaël Pressoir United States
Masanori Yamasaki Japan
Zhengqiang Ma China
Alain Ghesquière France
Yidan Ouyang China
Norman Warthmann Germany
M.C.A.M. Bink relative to Brigitte Mangin France Brigitte Mangin's profile →
Citations per field
00.5×2.9×
Brigitte Mangin · 1×
Citations per year

Countries citing papers authored by M.C.A.M. Bink

Since Specialization
Citations

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

Fields of papers citing papers by M.C.A.M. Bink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.C.A.M. Bink

This figure shows the co-authorship network connecting the top 25 collaborators of M.C.A.M. Bink. A scholar is included among the top collaborators of M.C.A.M. Bink 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 M.C.A.M. Bink. M.C.A.M. Bink 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 10
2 14
3 7
4 10
5 7
6 54
7
Genetic determinism of flowering regularity over years in an apple multi-family population
0
8 76
9 39
10
Pedigree based analyses: a powerful approach for QTL discovery in pedigreed breeding germplasm and support on breeding decisions
1
11 101
12
Genomic Prediction with 12.5 Million SNPs for 5503 Holstein Friesian Bulls
2
13 97
14 18
15 1
16 70
17
Multi-trait QTL analysis based on mixed models with parsimonious covariance matrices
8
18 13
19 16
20 6

About M.C.A.M. Bink

M.C.A.M. Bink is a scholar working on Genetics, Plant Science and Animal Science and Zoology, having authored 93 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (60 papers), Genetic and phenotypic traits in livestock (47 papers) and Genetics and Plant Breeding (23 papers). The work is most often cited by research in Plant Science (2.0k citations), Genetics (1.4k citations) and Horticulture (20 citations). M.C.A.M. Bink has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Eric van de Weg, Fred A. van Eeuwijk, Cajo J. F. ter Braak, Satish Kumar, David Chagné, Richard K. Volz, Roeland E. Voorrips, Martin P. Boer, M.P.L. Calus and Ritsert C. Jansen. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

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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