Ad P. Koets

4.2k total citations
125 papers, 3.1k citations indexed

About

Ad P. Koets is a scholar working on Epidemiology, Small Animals and Immunology. According to data from OpenAlex, Ad P. Koets has authored 125 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Epidemiology, 46 papers in Small Animals and 35 papers in Immunology. Recurrent topics in Ad P. Koets's work include Mycobacterium research and diagnosis (63 papers), Immune Cell Function and Interaction (21 papers) and Tuberculosis Research and Epidemiology (15 papers). Ad P. Koets is often cited by papers focused on Mycobacterium research and diagnosis (63 papers), Immune Cell Function and Interaction (21 papers) and Tuberculosis Research and Epidemiology (15 papers). Ad P. Koets collaborates with scholars based in Netherlands, South Africa and United Kingdom. Ad P. Koets's co-authors include Victor P. M. G. Rutten, Willem van Eden, Wiebren Santema, M. Nielen, Susanne Eisenberg, Douwe Bakker, Ildiko Van Rhijn, Aad Hoek, Shigetoshi Eda and Raymond W. Sweeney and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Ad P. Koets

123 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ad P. Koets Netherlands 29 1.7k 821 752 620 612 125 3.1k
Judith R. Stabel United States 39 2.9k 1.7× 1.6k 1.9× 1.4k 1.9× 963 1.6× 518 0.8× 151 4.5k
H.J. Ball United Kingdom 28 1.1k 0.6× 416 0.5× 691 0.9× 327 0.5× 418 0.7× 125 2.7k
Robert H. Whitlock United States 32 2.2k 1.3× 1.0k 1.3× 645 0.9× 608 1.0× 237 0.4× 75 3.0k
Yuichi Yokomizo Japan 32 575 0.3× 368 0.4× 417 0.6× 634 1.0× 954 1.6× 119 2.9k
Randy E. Sacco United States 28 571 0.3× 278 0.3× 717 1.0× 555 0.9× 668 1.1× 106 2.6k
Neil F. Inglis United Kingdom 26 676 0.4× 373 0.5× 1.1k 1.4× 408 0.7× 248 0.4× 65 2.4k
John Hopkins United Kingdom 33 712 0.4× 327 0.4× 257 0.3× 859 1.4× 1.3k 2.2× 179 3.7k
Paolo Pasquali Italy 30 618 0.4× 567 0.7× 725 1.0× 628 1.0× 367 0.6× 89 2.9k
Steen Bech‐Nielsen United States 21 836 0.5× 568 0.7× 464 0.6× 226 0.4× 138 0.2× 62 1.7k
Franck Biet France 27 1.7k 1.0× 441 0.5× 1.3k 1.7× 825 1.3× 375 0.6× 79 2.6k

Countries citing papers authored by Ad P. Koets

Since Specialization
Citations

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

Fields of papers citing papers by Ad P. Koets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ad P. Koets. 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 Ad P. Koets. The network helps show where Ad P. Koets may publish in the future.

Co-authorship network of co-authors of Ad P. Koets

This figure shows the co-authorship network connecting the top 25 collaborators of Ad P. Koets. A scholar is included among the top collaborators of Ad P. Koets 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 Ad P. Koets. Ad P. Koets 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.
Orsel, Karin, Ad P. Koets, John P. Bannantine, et al.. (2024). Invited review: Improved control of Johne's disease in dairy cattle through advancements in diagnostics, testing, and management of young stock. Journal of Dairy Science. 108(2). 1162–1181. 3 indexed citations
2.
Djokić, Vitomir, Fabrizio De Massis, Elina Lahti, et al.. (2023). The emergence of Brucella canis as a public health threat in Europe: what we know and what we need to learn. Emerging Microbes & Infections. 12(2). 2249126–2249126. 20 indexed citations
3.
Mitchell, Mairi C., David Frew, Javier Palarea‐Albaladejo, et al.. (2023). Efficacy of Phase I and Phase II Coxiella burnetii Bacterin Vaccines in a Pregnant Ewe Challenge Model. Vaccines. 11(3). 511–511. 13 indexed citations
4.
Fonville, Manoj, Ankje de Vries, Alex Bossers, et al.. (2022). Screen the unforeseen: Microbiome‐profiling for detection of zoonotic pathogens in wild rats. Transboundary and Emerging Diseases. 69(6). 3881–3895. 3 indexed citations
5.
Kolwijck, Eva, Suzanne P. M. Lutgens, Ad P. Koets, et al.. (2022). First Case of Human Brucella canis Infection in the Netherlands. Clinical Infectious Diseases. 75(12). 2250–2252. 9 indexed citations
6.
Beckmann, Manfred, et al.. (2021). Metabolomic Changes in Naturally MAP-Infected Holstein–Friesian Heifers Indicate Immunologically Related Biochemical Reprogramming. Metabolites. 11(11). 727–727. 9 indexed citations
7.
Koets, Ad P., et al.. (2021). Survey on Colostrum Management by Dairy Farmers in the Netherlands. Frontiers in Veterinary Science. 8. 656391–656391. 7 indexed citations
8.
Brand, H. van den, B. Kemp, B. Engel, et al.. (2021). Calf and dam characteristics and calf transport age affect immunoglobulin titers and hematological parameters of veal calves. Journal of Dairy Science. 105(2). 1432–1451. 12 indexed citations
9.
Lievaart‐Peterson, Karianne, et al.. (2019). Mycobacterium avium Subspecies paratuberculosis DNA and Antibodies in Dairy Goat Colostrum and Milk. Veterinary Sciences. 6(4). 96–96. 5 indexed citations
10.
Baliu‐Piqué, Mariona, Julia Drylewicz, Rob J. de Boer, et al.. (2018). Short Lifespans of Memory T-cells in Bone Marrow, Blood, and Lymph Nodes Suggest That T-cell Memory Is Maintained by Continuous Self-Renewal of Recirculating Cells. Frontiers in Immunology. 9. 2054–2054. 29 indexed citations
11.
Eisenberg, Susanne, et al.. (2018). Effect of dietary phosphorus deprivation on leukocyte function in transition cows. Journal of Dairy Science. 102(2). 1559–1570. 6 indexed citations
12.
Koets, Ad P., et al.. (2018). The antibody response in the bovine mammary gland is influenced by the adjuvant and the site of subcutaneous vaccination. Veterinary Research. 49(1). 25–25. 13 indexed citations
13.
Eisenberg, Susanne, et al.. (2014). Influence of feeding a low-phosphorus diet on leucocyte function in dairy cows. Journal of Dairy Science. 97(8). 5176–5184. 7 indexed citations
14.
15.
16.
Eisenberg, Susanne, M. Nielen, & Ad P. Koets. (2012). Within-farm transmission of bovine paratuberculosis: recent developments. Veterinary Quarterly. 32(1). 31–35. 18 indexed citations
17.
Hulzen, K.J.E. van, et al.. (2010). Within herd test prevalence affects genetic variation in antibody response to Mycobacterium avium subspecies paratuberculosis in milk of Dutch Holstein-Friesians. Data Archiving and Networked Services (DANS). 1 indexed citations
18.
Langendijk, P., et al.. (2007). Intermittent suckling during an extended lactation period: Effects on piglet behavior1. Journal of Animal Science. 85(12). 3415–3424. 17 indexed citations
19.
Rhijn, Ildiko Van, Ad P. Koets, Jin S. Im, et al.. (2006). The Bovine CD1 Family Contains Group 1 CD1 Proteins, but No Functional CD1d. The Journal of Immunology. 176(8). 4888–4893. 59 indexed citations
20.
Koets, Ad P., et al.. (2005). Flowcytometric assessment of circulating peripheral blood monocytes in small ruminants. Small Ruminant Research. 65(1-2). 136–141. 5 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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