E.A.M. Graat

3.5k total citations
89 papers, 2.6k citations indexed

About

E.A.M. Graat is a scholar working on Small Animals, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, E.A.M. Graat has authored 89 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Small Animals, 26 papers in Animal Science and Zoology and 19 papers in Agronomy and Crop Science. Recurrent topics in E.A.M. Graat's work include Animal Nutrition and Physiology (17 papers), Animal Disease Management and Epidemiology (14 papers) and Animal Behavior and Welfare Studies (12 papers). E.A.M. Graat is often cited by papers focused on Animal Nutrition and Physiology (17 papers), Animal Disease Management and Epidemiology (14 papers) and Animal Behavior and Welfare Studies (12 papers). E.A.M. Graat collaborates with scholars based in Netherlands, United States and Switzerland. E.A.M. Graat's co-authors include M.C.M. de Jong, P.M.C. Huijbers, K. Frankena, B. Kemp, A.W. van de Giessen, Engeline van Duijkeren, Christina M. J. E. Vandenbroucke‐Grauls, Hetty Blaak, Ana Maria de Roda Husman and A.M. Henken and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Journal of Dairy Science.

In The Last Decade

E.A.M. Graat

84 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E.A.M. Graat Netherlands 31 661 638 523 498 442 89 2.6k
William M. Sischo United States 31 612 0.9× 446 0.7× 706 1.3× 912 1.8× 417 0.9× 101 2.8k
Finola C. Leonard Ireland 31 713 1.1× 672 1.1× 648 1.2× 398 0.8× 221 0.5× 87 2.4k
Gertraud Schüpbach‐Regula Switzerland 25 472 0.7× 370 0.6× 651 1.2× 602 1.2× 345 0.8× 113 2.2k
Keith E. Baptiste Denmark 23 919 1.4× 326 0.5× 350 0.7× 253 0.5× 415 0.9× 58 2.4k
Catherine Belloc France 26 483 0.7× 503 0.8× 418 0.8× 487 1.0× 195 0.4× 68 1.9k
Filip Boyen Belgium 33 976 1.5× 929 1.5× 655 1.3× 437 0.9× 556 1.3× 197 4.4k
Lis Alban Denmark 31 453 0.7× 482 0.8× 786 1.5× 1.1k 2.2× 144 0.3× 166 3.0k
Giovanni Loris Alborali Italy 25 829 1.3× 779 1.2× 271 0.5× 407 0.8× 113 0.3× 153 2.1k
Lorin D. Warnick United States 39 762 1.2× 653 1.0× 1.3k 2.5× 1.1k 2.2× 663 1.5× 118 4.5k
Bo Norby United States 28 381 0.6× 171 0.3× 401 0.8× 774 1.6× 295 0.7× 90 2.1k

Countries citing papers authored by E.A.M. Graat

Since Specialization
Citations

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

Fields of papers citing papers by E.A.M. Graat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E.A.M. Graat

This figure shows the co-authorship network connecting the top 25 collaborators of E.A.M. Graat. A scholar is included among the top collaborators of E.A.M. Graat 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 E.A.M. Graat. E.A.M. Graat 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
1.
Reimert, Inonge, E.A.M. Graat, W Ursinus, & J.E. Bolhuis. (2025). Telling tails: a closer look into the hanging tail posture of pigs in relation to their emotional state expressed during a novelty test in isolation. animal. 19(9). 101609–101609.
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Veraa, Stefanie, et al.. (2023). Osseous pathologic changes in the lumbar region of the equine vertebral column: A descriptive post‐mortem study in three breeds. Equine Veterinary Journal. 56(5). 1031–1040. 3 indexed citations
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Baal, J. van, et al.. (2021). Transgenerational effects of innate immune activation in broiler breeders on growth performance and immune responsiveness. Poultry Science. 100(11). 101413–101413. 6 indexed citations
8.
Boerlage, Annette S., E.A.M. Graat, J.A.J. Verreth, & M.C.M. de Jong. (2013). Transmission of fish-borne zoonotic trematodes (Heterophyidae) to common carp (Cyprinus carpio) is independent of density of fish and trematodes. Journal of Helminthology. 88(2). 183–188. 6 indexed citations
9.
Broens, Els M., E.A.M. Graat, P.J. van der Wolf, A.W. van de Giessen, & M.C.M. de Jong. (2011). Prevalence and risk factor analysis of livestock associated MRSA-positive pig herds in The Netherlands. Preventive Veterinary Medicine. 102(1). 41–49. 77 indexed citations
10.
Velkers, Francisca C., Damer P. Blake, E.A.M. Graat, et al.. (2010). Quantification of Eimeria acervulina in faeces of broilers: Comparison of McMaster oocyst counts from 24h faecal collections and single droppings to real-time PCR from cloacal swabs. Veterinary Parasitology. 169(1-2). 1–7. 30 indexed citations
11.
Knegsel, A.T.M. van, H. van den Brand, E.A.M. Graat, et al.. (2007). Dietary Energy Source in Dairy Cows in Early Lactation: Metabolites and Metabolic Hormones. Journal of Dairy Science. 90(3). 1477–1485. 81 indexed citations
12.
Helps, Chris R., Philippa Lait, C. Brovida, et al.. (2005). Factors associated with upper respiratory tract disease caused by feline herpesvirus, feline calicivirus, Chlamydophila felis and Bordetella bronchiseptica in cats. Veterinary Record. 156(21). 1 indexed citations
13.
Schouten, J.M., Martijn Bouwknegt, A.W. van de Giessen, et al.. (2004). Prevalence estimation and risk factors for Escherichia coli O157 on Dutch dairy farms. Preventive Veterinary Medicine. 64(1). 49–61. 45 indexed citations
14.
Graat, E.A.M., M.C.M. de Jong, K. Frankena, & P. Franken. (2001). Modelling the effect of surveillance programmes on spread of bovine herpesvirus 1 between certified cattle herds. Veterinary Microbiology. 79(3). 193–208. 30 indexed citations
15.
Parmentier, H.K., et al.. (2001). Immune Responses and Resistance to Eimeria acervulina of Chickens Divergently Selected for Antibody Responses to Sheep Red Blood Cells. Poultry Science. 80(7). 894–900. 37 indexed citations
16.
Vaessen, Martin, et al.. (1998). Risicofactoren voor Salmonella dublin infecties op melkveebedrijven.. Tijdschrift voor diergeneeskunde. 123(11). 349–351. 2 indexed citations
17.
Moen, A. R., W. Wouda, M.F. Mul, E.A.M. Graat, & T. van Werven. (1998). Increased risk of abortion following neospora caninum abortion outbreaks: a retrospective and prospective cohort study in four dairy herds. Theriogenology. 49(7). 1301–1309. 96 indexed citations
18.
Henken, A.M., H.W. Ploeger, E.A.M. Graat, & T. E. Carpenter. (1994). Description of a simulation model for the population dynamics ofEimeria acervulinainfection in broilers. Parasitology. 108(5). 503–512. 23 indexed citations
19.
Graat, E.A.M., et al.. (1994). Rate and course of sporulation of oocysts ofEimeria acervulinaunder different environmental conditions. Parasitology. 108(5). 497–502. 44 indexed citations
20.
Henken, A.M., E.A.M. Graat, H.W. Ploeger, & T. E. Carpenter. (1994). Description of a model to simulate effects of Eimeria acervulina infection on broiler production. Parasitology. 108(5). 513–518. 14 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.

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