Erik van Engelen

893 total citations
24 papers, 691 citations indexed

About

Erik van Engelen is a scholar working on Parasitology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Erik van Engelen has authored 24 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Parasitology, 9 papers in Infectious Diseases and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Erik van Engelen's work include Vector-borne infectious diseases (9 papers), Microbial infections and disease research (9 papers) and Vector-Borne Animal Diseases (9 papers). Erik van Engelen is often cited by papers focused on Vector-borne infectious diseases (9 papers), Microbial infections and disease research (9 papers) and Vector-Borne Animal Diseases (9 papers). Erik van Engelen collaborates with scholars based in Netherlands, Germany and Iraq. Erik van Engelen's co-authors include René van den Brom, P. Vellema, H.I.J. Roest, Wim van der Hoek, Saskia Luttikholt, C. van Maanen, J Muskens, C.J.M. Bartels, T.J.G.M. Lam and L. Moll and has published in prestigious journals such as Journal of Dairy Science, Emerging infectious diseases and Veterinary Microbiology.

In The Last Decade

Erik van Engelen

23 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik van Engelen Netherlands 12 480 347 341 130 110 24 691
Ala E. Lew Australia 18 550 1.1× 291 0.8× 339 1.0× 96 0.7× 107 1.0× 24 881
Mustapha M. Berri France 10 435 0.9× 329 0.9× 305 0.9× 56 0.4× 70 0.6× 11 630
Mohammad Khalili Iran 19 659 1.4× 593 1.7× 440 1.3× 108 0.8× 130 1.2× 95 1.0k
Alfonso Carbonero Spain 18 268 0.6× 336 1.0× 246 0.7× 187 1.4× 93 0.8× 44 796
D. Dercksen Netherlands 15 309 0.6× 288 0.8× 266 0.8× 127 1.0× 188 1.7× 21 668
Susana Torioni de Echaide Argentina 18 891 1.9× 568 1.6× 599 1.8× 79 0.6× 147 1.3× 50 1.1k
G. Czaplicki Belgium 14 343 0.7× 374 1.1× 375 1.1× 235 1.8× 77 0.7× 27 708
Min-Goo Seo South Korea 20 727 1.5× 550 1.6× 471 1.4× 197 1.5× 44 0.4× 93 1.1k
Gholam Reza Razmi Iran 22 1.1k 2.3× 632 1.8× 530 1.6× 64 0.5× 191 1.7× 114 1.4k
Élodie Rousset France 16 806 1.7× 595 1.7× 532 1.6× 86 0.7× 53 0.5× 31 914

Countries citing papers authored by Erik van Engelen

Since Specialization
Citations

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

Fields of papers citing papers by Erik van Engelen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik van Engelen. 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 Erik van Engelen. The network helps show where Erik van Engelen may publish in the future.

Co-authorship network of co-authors of Erik van Engelen

This figure shows the co-authorship network connecting the top 25 collaborators of Erik van Engelen. A scholar is included among the top collaborators of Erik van Engelen 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 Erik van Engelen. Erik van Engelen 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.
Engelen, Erik van, et al.. (2024). Molecular characterisation of Mycoplasma bovis isolates from consecutive episodes of respiratory disease on Dutch veal farms. Veterinary Microbiology. 298. 110221–110221. 1 indexed citations
2.
Maanen, C. van, et al.. (2023). Detection and molecular characterization of Actinomyces denticolens causing lymph node abscessation in horses. Frontiers in Veterinary Science. 10. 1225528–1225528. 1 indexed citations
3.
Ward, Caitlin, et al.. (2023). Within-herd transmission of Mycoplasma bovis infections after initial detection in dairy cows. Journal of Dairy Science. 107(1). 516–529. 3 indexed citations
4.
Engelen, Erik van, et al.. (2023). O-106 Pasteurellosis: Sheep versus goats. Animal - science proceedings. 14(1). 134–134.
5.
Garderen, E. van, et al.. (2022). Distinct Mannheimia haemolytica serotypes isolated from fatal infections in veal calves and dairy cows. The Veterinary Journal. 292. 105940–105940. 7 indexed citations
6.
Holzhauer, M., et al.. (2022). Dynamics of Mycoplasma bovis in Dutch dairy herds during acute clinical outbreaks. The Veterinary Journal. 283-284. 105841–105841. 11 indexed citations
7.
Vellema, P., I.M.G.A. Santman-Berends, Frederika Dijkstra, et al.. (2021). Dairy Sheep Played a Minor Role in the 2005–2010 Human Q Fever Outbreak in The Netherlands Compared to Dairy Goats. Pathogens. 10(12). 1579–1579. 12 indexed citations
8.
Brom, René van den, et al.. (2021). An Accessible Diagnostic Toolbox to Detect Bacterial Causes of Ovine and Caprine Abortion. Pathogens. 10(9). 1147–1147. 13 indexed citations
9.
Schaik, G. van, et al.. (2020). Emergence of fatal Mannheimia haemolytica infections in cattle in the Netherlands. The Veterinary Journal. 268. 105576–105576. 11 indexed citations
10.
Engelen, Erik van, et al.. (2020). Bacterial flora associated with udder cleft dermatitis in Dutch dairy cows. Journal of Dairy Science. 104(1). 728–735. 8 indexed citations
11.
Brom, René van den, et al.. (2020). Zoonotic risks of pathogens from sheep and their milk borne transmission. Small Ruminant Research. 189. 106123–106123. 43 indexed citations
12.
Heuvelink, Annet, et al.. (2016). An intra-laboratory cultural and real-time PCR method comparison and evaluation for the detection of subclinical paratuberculosis in dairy herds. Folia Microbiologica. 62(3). 197–205. 3 indexed citations
13.
Brom, René van den, Erik van Engelen, H.I.J. Roest, Wim van der Hoek, & P. Vellema. (2015). Coxiella burnetii infections in sheep or goats: an opinionated review. Veterinary Microbiology. 181(1-2). 119–129. 154 indexed citations
14.
Molenaar, Robert Jan & Erik van Engelen. (2015). Pneumonia associated withAcinetobacter baumanniiin a group of minks (Neovison vison). Veterinary Quarterly. 35(3). 174–176. 10 indexed citations
15.
Brom, René van den, I.M.G.A. Santman-Berends, Saskia Luttikholt, et al.. (2015). Bulk tank milk surveillance as a measure to detect Coxiella burnetii shedding dairy goat herds in the Netherlands between 2009 and 2014. Journal of Dairy Science. 98(6). 3814–3825. 25 indexed citations
16.
Engelen, Erik van, et al.. (2014). Prevalence and risk factors for Coxiella burnetii (Q fever) in Dutch dairy cattle herds based on bulk tank milk testing. Preventive Veterinary Medicine. 117(1). 103–109. 46 indexed citations
17.
Engelen, Erik van, Saskia Luttikholt, Klaas Peperkamp, P. Vellema, & René van den Brom. (2014). Small ruminant abortions in The Netherlands during lambing season 2012–2013. Veterinary Record. 174(20). 506–506. 40 indexed citations
18.
Schimmer, Barbara, et al.. (2014). Coxiella burnetiiSeroprevalence and Risk for Humans on Dairy Cattle Farms, the Netherlands, 2010–2011. Emerging infectious diseases. 20(3). 417–25. 48 indexed citations
19.
Ploeger, H.W., et al.. (2013). Comparison of two serum and bulk-tank milk ELISAs for diagnosing natural (sub)clinical Dictyocaulus viviparus infection in dairy cows. Veterinary Parasitology. 199(1-2). 50–58. 11 indexed citations
20.

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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