M.C. Blok

39 papers receiving 1.6k citations

M.C. Blok's Hit Papers

The Dutch protein evaluation system: the DVE/OEB-system 1994 · 509 citations
5090+10+21Years since publication100200300400500

Peers

M.C. Blok
Comparison fields: 5 of 111
  • Agronomy and Crop Science 702
  • Animal Science and Zoology 200
  • Molecular Biology 744
  • Environmental Chemistry 107
  • Biochemistry 73
Replace Rosaria Saletti with:
Rosaria Saletti Italy
Véréna Poinsot France
K. A. FERGUSON Australia
Yanhong Chen China
Alexander Graf Germany
R. F. Rosenberger Israel
J.W. Lyttleton New Zealand
Claudia Weber Germany
David B. Sauer United States
W. Keith Ray United States
M.C. Blok relative to Rosaria Saletti Italy Rosaria Saletti's profile →
Citations per field
00.5×7.1×
Rosaria Saletti · 1×
Citations per year

Countries citing papers authored by M.C. Blok

Since Specialization
Citations

This map shows the geographic impact of M.C. Blok'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. Blok 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. Blok more than expected).

Fields of papers citing papers by M.C. Blok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M.C. Blok, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.C. Blok Line = papers co-authored together M.C. Blok links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Dutch protein evaluation system: the DVE/OEB-system
Hit paper breakdown →
1994509
2 1975275
3 1976203
4 2010129
5 1977100
6 197167
7 197758
8 197431
9 197825
10
Protein evaluation for ruminants : the DVE/OEB 2007-system
200725
11 197824
12 200922
13 197821
14 197520
15 197418
16 201217
17 197616
18 200916
19 197815
20 197913

About M.C. Blok

M.C. Blok is a scholar working on Agronomy and Crop Science, Molecular Biology, Animal Science and Zoology, Genetics and Spectroscopy, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (15 papers), Lipid Membrane Structure and Behavior (10 papers), Animal Nutrition and Physiology (8 papers), Genetic and phenotypic traits in livestock (6 papers), Photoreceptor and optogenetics research (4 papers), Agriculture Sustainability and Environmental Impact (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Agronomy and Crop Science (702 citations), Animal Science and Zoology (200 citations), Molecular Biology (744 citations), Environmental Chemistry (107 citations) and Biochemistry (73 citations). M.C. Blok has collaborated with scholars based in Netherlands, Pakistan and Portugal. Frequent co-authors include J. de Gier, L.L.M. Van Deenen, S. Tamminga, A. Steg, R.G.M. Meijer, W.M. van Straalen, A.P.J. Subnel, K. Van Dam, J.W. Cone and G. van Duinkerken. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, animal, Animal Feed Science and Technology, The Journal of Agricultural Science and Annals of the New York Academy of Sciences.

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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