M.C. Blok

2.1k total citations · 1 hit paper
38 papers, 1.6k citations indexed

About

M.C. Blok is a scholar working on Agronomy and Crop Science, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, M.C. Blok has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Agronomy and Crop Science, 11 papers in Molecular Biology and 10 papers in Animal Science and Zoology. Recurrent topics in M.C. Blok's work include Ruminant Nutrition and Digestive Physiology (15 papers), Lipid Membrane Structure and Behavior (9 papers) and Animal Nutrition and Physiology (8 papers). M.C. Blok is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (15 papers), Lipid Membrane Structure and Behavior (9 papers) and Animal Nutrition and Physiology (8 papers). M.C. Blok collaborates with scholars based in Netherlands, Denmark and Pakistan. M.C. Blok's co-authors include J. de Gier, L.L.M. Van Deenen, S. Tamminga, A.P.J. Subnel, W.M. van Straalen, R.G.M. Meijer, A. Steg, J.W. Cone, K. Van Dam and G. van Duinkerken and has published in prestigious journals such as FEBS Letters, Annals of the New York Academy of Sciences and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

M.C. Blok

38 papers receiving 1.4k citations

Hit Papers

The Dutch protein evaluation system: the DVE/OEB-system 1994 2026 2004 2015 1994 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.C. Blok Netherlands 17 689 667 256 196 183 38 1.6k
R. Howard Berg United States 33 89 0.1× 1.5k 2.3× 82 0.3× 26 0.1× 2.0k 10.7× 65 3.3k
R. F. Rosenberger Israel 23 76 0.1× 871 1.3× 298 1.2× 32 0.2× 264 1.4× 59 1.5k
W. Keith Ray United States 21 34 0.0× 1.0k 1.5× 173 0.7× 54 0.3× 750 4.1× 55 1.8k
David B. Sauer United States 21 44 0.1× 675 1.0× 72 0.3× 31 0.2× 858 4.7× 60 1.8k
Véréna Poinsot France 25 296 0.4× 657 1.0× 60 0.2× 17 0.1× 1.5k 8.3× 60 2.7k
Karen L. Koster United States 21 44 0.1× 742 1.1× 40 0.2× 22 0.1× 1.2k 6.3× 33 2.1k
FV Mercer Australia 16 47 0.1× 417 0.6× 44 0.2× 34 0.2× 529 2.9× 28 970
Yasuko Kaneko Japan 26 57 0.1× 1.1k 1.6× 84 0.3× 7 0.0× 969 5.3× 107 2.0k
Samuel Leslie United States 6 22 0.0× 505 0.8× 63 0.2× 38 0.2× 189 1.0× 6 1.3k
Sunita Kumari India 20 84 0.1× 1.9k 2.9× 321 1.3× 25 0.1× 1.2k 6.3× 88 3.0k

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-authorship network of co-authors of M.C. Blok

This figure shows the co-authorship network connecting the top 25 collaborators of M.C. Blok. A scholar is included among the top collaborators of M.C. Blok 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. Blok. M.C. Blok 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
2.
Doorn, D.A. van, et al.. (2018). Effect of exercise on apparent total tract digestibility of nutrients and faecal recovery of ADL and TiO2 in ponies. animal. 12(12). 2505–2510. 4 indexed citations
3.
Doorn, D.A. van, et al.. (2017). Evaluation of methodological aspects of digestibility measurements in ponies fed different haylage to concentrate ratios. animal. 11(11). 1922–1929. 5 indexed citations
4.
Boever, Johan De, M.C. Blok, Sam Millet, J.M. Vanacker, & Sam De Campeneere. (2016). The nutritive value of condensed wheat distillers solubles for cattle. animal. 10(12). 1955–1964. 2 indexed citations
6.
Blok, M.C., et al.. (2015). A new Dutch Net Energy formula for feed and feedstuffs for growing and fattening pigs. Socio-Environmental Systems Modeling. 10 indexed citations
7.
Cone, J.W., et al.. (2015). Comparison of fractionation methods for nitrogen and starch in maize and grass silages. Journal of Animal Physiology and Animal Nutrition. 100(3). 526–531. 1 indexed citations
8.
Cone, J.W., G. van Duinkerken, A. Klop, et al.. (2014). Relationship between chemical composition and in situ rumen degradation characteristics of grass silages in dairy cows. NJAS - Wageningen Journal of Life Sciences. 70-71(1). 9–15. 7 indexed citations
9.
Boever, Johan De, M.C. Blok, Sam Millet, J.M. Vanacker, & Sam De Campeneere. (2014). The energy and protein value of wheat, maize and blend DDGS for cattle and evaluation of prediction methods. animal. 8(11). 1839–1850. 10 indexed citations
10.
Klop, G., et al.. (2014). Variation in phosphorus content of milk from dairy cattle as affected by differences in milk composition. The Journal of Agricultural Science. 152(5). 860–869. 11 indexed citations
11.
Duinkerken, G. van, J.W. Cone, A. Klop, et al.. (2014). Relationship between chemical composition and in situ rumen degradation characteristics of maize silages in dairy cows. animal. 8(11). 1832–1838. 11 indexed citations
12.
Weisbjerg, Martin Riis, J.W. Cone, G. van Duinkerken, et al.. (2012). Postruminal degradation of crude protein, neutral detergent fibre and starch of maize and grass silages in dairy cows. Animal Feed Science and Technology. 177(3-4). 172–179. 17 indexed citations
13.
Tamminga, S., et al.. (2007). Protein evaluation for ruminants : the DVE/OEB 2007-system. Socio-Environmental Systems Modeling. 25 indexed citations
14.
Blok, M.C. & K. Van Dam. (1979). Association of bacteriorhodopsin with lipid-impregnated filters. Evidence for fusion of bacteriorhodopsin-containing vesicles with the lipid phase of the filter. Biochimica et Biophysica Acta (BBA) - Biomembranes. 550(3). 527–542. 9 indexed citations
15.
Blok, M.C., K.J. Hellingwerf, Robert Kaptein, & Ben de Kruijff. (1978). Light-induced pH changes inside bacteriorhodopsin vesicles as measured by 31P NMR. Biochimica et Biophysica Acta (BBA) - Biomembranes. 514(1). 178–184. 9 indexed citations
16.
Zoelen, E.J.J. van, et al.. (1978). Non-electrolyte permeability as a tool for studying membrane fluidity. Biochimica et Biophysica Acta (BBA) - Biomembranes. 511(3). 335–347. 22 indexed citations
17.
Blok, M.C., K.J. Hellingwerf, & K. Van Dam. (1977). Reconstitution of bacteriorhodopsin in a millipore filter system. FEBS Letters. 76(1). 45–50. 51 indexed citations
18.
Blok, M.C., L.L.M. Van Deenen, & J. de Gier. (1977). The effect of cholesterol incorporation on the temperature dependence of water permeation through liposomal membranes prepared from phosphatidylcholines. Biochimica et Biophysica Acta (BBA) - Biomembranes. 464(3). 509–518. 96 indexed citations
19.
Deenen, L.L.M. Van, J. de Gier, R.A. Demel, et al.. (1975). LIPID‐LIPID AND LIPID‐PROTEIN INTERACTION IN MODEL SYSTEMS AND MEMBRANESfn1. Annals of the New York Academy of Sciences. 264(1). 124–141. 16 indexed citations
20.
Blok, M.C., J. de Gier, & L.L.M. Van Deenen. (1974). Some factors affecting the valinomycin-induced leak from liposomes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 367(2). 202–209. 17 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026