F.J. Verburg

664 total citations
10 papers, 534 citations indexed

About

F.J. Verburg is a scholar working on Molecular Biology, Cell Biology and Animal Science and Zoology. According to data from OpenAlex, F.J. Verburg has authored 10 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Animal Science and Zoology. Recurrent topics in F.J. Verburg's work include Muscle Physiology and Disorders (4 papers), Muscle metabolism and nutrition (3 papers) and Animal Nutrition and Physiology (2 papers). F.J. Verburg is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Muscle metabolism and nutrition (3 papers) and Animal Nutrition and Physiology (2 papers). F.J. Verburg collaborates with scholars based in Netherlands, Serbia and Italy. F.J. Verburg's co-authors include M F te Pas, Frans Gerbens, J.H. Veerkamp, T.H.E. Meuwissen, Frank Harders, W.G. Buist, M.F.W. te Pas, K.H. de Greef, Charlotte Gerritsen and A. Soumillion and has published in prestigious journals such as Journal of Animal Science, Journal of General Virology and Molecular Biology Reports.

In The Last Decade

F.J. Verburg

9 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F.J. Verburg Netherlands	8	314	226	204	125	47	10	534
M F te Pas Netherlands	6	297 0.9×	296 1.3×	264 1.3×	129 1.0×	56 1.2×	7	568
Betty L. Black United States	12	177 0.6×	113 0.5×	127 0.6×	87 0.7×	9 0.2×	17	503
M. V. Dodson United States	9	271 0.9×	139 0.6×	98 0.5×	196 1.6×	59 1.3×	14	572
Meixia Fang China	15	156 0.5×	208 0.9×	202 1.0×	58 0.5×	89 1.9×	34	525
Yeunsu Suh United States	15	296 0.9×	105 0.5×	143 0.7×	180 1.4×	36 0.8×	32	555
Akihiko Hagino Japan	13	179 0.6×	43 0.2×	90 0.4×	63 0.5×	30 0.6×	21	408
S A Blum United States	13	202 0.6×	101 0.4×	64 0.3×	79 0.6×	16 0.3×	22	467
Dongmei Liu China	13	264 0.8×	49 0.2×	53 0.3×	42 0.3×	33 0.7×	26	389
Catherine Wicker France	15	164 0.5×	38 0.2×	87 0.4×	70 0.6×	13 0.3×	22	510
Haiming Ma China	11	243 0.8×	80 0.4×	105 0.5×	82 0.7×	135 2.9×	50	429

Countries citing papers authored by F.J. Verburg

Since Specialization

Citations

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

Fields of papers citing papers by F.J. Verburg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.J. Verburg. 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 F.J. Verburg. The network helps show where F.J. Verburg may publish in the future.

Co-authorship network of co-authors of F.J. Verburg

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

All Works

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10 of 10 papers shown

Acutis, Pier Luigi, Luca Sbaiz, F.J. Verburg, et al.. (2004). Low frequency of the scrapie resistance-associated allele and presence of lysine-171 allele of the prion protein gene in Italian Biellese ovine breed. Journal of General Virology. 85(10). 3165–3172. 37 indexed citations

Bink, M.C.A.M., et al.. (2002). Statistical inference on genetic response in selection lines using bivariate finite polygenic and qtl models. Socio-Environmental Systems Modeling. 729–732. 2 indexed citations

Pas, M.F.W. te, et al.. (2001). Selection for growth rate or against back fat thickness in pigs is associated with changes in growth hormone axis plasma protein concentration and mRNA level. Domestic Animal Endocrinology. 20(3). 165–184. 16 indexed citations

Gerbens, Frans, et al.. (2001). Associations of heart and adipocyte fatty acid-binding protein gene expression with intramuscular fat content in pigs.. Journal of Animal Science. 79(2). 347–347. 140 indexed citations

Pas, M F te, F.J. Verburg, Charlotte Gerritsen, & K.H. de Greef. (2000). Messenger ribonucleic acid expression of the MyoD gene family in muscle tissue at slaughter in relation to selection for porcine growth rate.. Journal of Animal Science. 78(1). 69–69. 53 indexed citations

Pas, M.F.W. te, et al.. (2000). Glucocorticoid inhibition of C2C12 proliferation rate and differentiation capacity in relation to mRNA levels of the MRF gene family. Molecular Biology Reports. 27(2). 87–98. 44 indexed citations

Gerbens, Frans, Frank Harders, F.J. Verburg, et al.. (1999). Effect of genetic variants of the heart fatty acid-binding protein gene on intramuscular fat and performance traits in pigs.. Journal of Animal Science. 77(4). 846–846. 139 indexed citations

Pas, M.F.W. te, et al.. (1999). Gender related and dexamethasone induced differences in the mRNA levels of the MRF genes in rat anterior tibial skeletal muscle. Molecular Biology Reports. 26(4). 279–284. 10 indexed citations

Pas, M F te, et al.. (1999). Influences of myogenin genotypes on birth weight, growth rate, carcass weight, backfat thickness, and lean weight of pigs.. Journal of Animal Science. 77(9). 2352–2352. 93 indexed citations

10.

Pas, M.F.W. te, Frank Harders, A. Soumillion, F.J. Verburg, & T.H.E. Meuwissen. (1998). The MyoD gene family influences birth weight, postnatal growth rate and carcass meat content of pigs.

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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