A. Lammers

2.2k total citations
62 papers, 1.6k citations indexed

About

A. Lammers is a scholar working on Animal Science and Zoology, Immunology and Small Animals. According to data from OpenAlex, A. Lammers has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Animal Science and Zoology, 21 papers in Immunology and 17 papers in Small Animals. Recurrent topics in A. Lammers's work include Animal Nutrition and Physiology (26 papers), Animal Behavior and Welfare Studies (11 papers) and Gut microbiota and health (9 papers). A. Lammers is often cited by papers focused on Animal Nutrition and Physiology (26 papers), Animal Behavior and Welfare Studies (11 papers) and Gut microbiota and health (9 papers). A. Lammers collaborates with scholars based in Netherlands, France and Germany. A. Lammers's co-authors include H.K. Parmentier, G. de Vries Reilingh, B. Kemp, Huub F. J. Savelkoul, Hilde E. Smith, Willemien H. Wieland, A. Schots, Piet J. M. Nuijten, Jerine A.J. van der Eijk and T.B. Rodenburg and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical Journal.

In The Last Decade

A. Lammers

61 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Lammers Netherlands 24 730 419 391 294 237 62 1.6k
Joe Crenshaw United States 22 1.1k 1.5× 489 1.2× 217 0.6× 475 1.6× 323 1.4× 68 2.0k
Spyridon K. Kritas Greece 30 657 0.9× 466 1.1× 483 1.2× 341 1.2× 405 1.7× 126 2.5k
Murray D. Drew Canada 28 1.0k 1.4× 463 1.1× 913 2.3× 258 0.9× 340 1.4× 47 2.6k
G.R. Huff United States 31 1.8k 2.5× 466 1.1× 382 1.0× 351 1.2× 343 1.4× 79 3.2k
Ki‐Duk Song South Korea 27 574 0.8× 1.0k 2.5× 578 1.5× 326 1.1× 117 0.5× 135 2.5k
I.K. Kwon South Korea 21 963 1.3× 337 0.8× 213 0.5× 181 0.6× 62 0.3× 28 1.4k
T.F. Davison United States 29 853 1.2× 240 0.6× 506 1.3× 135 0.5× 198 0.8× 68 2.1k
Billy M. Hargis United States 24 794 1.1× 478 1.1× 98 0.3× 147 0.5× 192 0.8× 74 1.7k
Anna Pérez‐Bosque Spain 18 295 0.4× 283 0.7× 206 0.5× 108 0.4× 192 0.8× 43 912
Claudia Hess Austria 28 816 1.1× 536 1.3× 256 0.7× 207 0.7× 402 1.7× 92 2.4k

Countries citing papers authored by A. Lammers

Since Specialization
Citations

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

Fields of papers citing papers by A. Lammers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Lammers

This figure shows the co-authorship network connecting the top 25 collaborators of A. Lammers. A scholar is included among the top collaborators of A. Lammers 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 A. Lammers. A. Lammers 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.
Lammers, A., et al.. (2025). The Heat Treatment of a Lactobacilli Probiotic to Derive a Postbiotic Has Minor Effects on the Metabolomic Profile. Fermentation. 11(2). 87–87. 1 indexed citations
2.
Blanc, Fany, A. Lammers, J. van Baal, et al.. (2024). Microbiota but not immune modulation by a pro- and postbiotic was associated with the diet-additive interaction in broilers. Poultry Science. 103(11). 104184–104184. 3 indexed citations
3.
Lammers, A., J. van Baal, Fany Blanc, et al.. (2024). Lactobacilli‐Based Pro and Postbiotic Efficacy Are Also Influenced by Other Factors Than Dietary Challenging Conditions. Journal of Animal Physiology and Animal Nutrition. 109(1). 203–210. 1 indexed citations
4.
Lammers, A., J. van Baal, Fany Blanc, et al.. (2024). Diet composition influences probiotic and postbiotic effects on broiler growth and physiology. Poultry Science. 103(6). 103650–103650. 8 indexed citations
5.
Wijnen, H.J., C.W. van der Pol, A. Lammers, et al.. (2022). Broiler resilience to colibacillosis is affected by incubation temperature and post-hatch feeding strategy. Poultry Science. 101(10). 102092–102092. 3 indexed citations
6.
Wijnen, H.J., C.W. van der Pol, A. Lammers, et al.. (2021). Low Incubation Temperature During Late Incubation and Early Feeding Affect Broiler Resilience to Necrotic Enteritis in Later Life. Frontiers in Veterinary Science. 8. 784869–784869. 10 indexed citations
7.
Vries, Sonja de, et al.. (2020). Effects of Early Nutrition and Sanitary Conditions on Oral Tolerance and Antibody Responses in Broiler Chickens. Veterinary Sciences. 7(4). 148–148. 5 indexed citations
8.
Eijk, Jerine A.J. van der, et al.. (2019). Chicken lines divergently selected on feather pecking differ in immune characteristics. Physiology & Behavior. 212. 112680–112680. 21 indexed citations
9.
Lammers, A., et al.. (2016). Providing artificial milk before and after weaning improves postweaning piglet performance. Journal of Animal Science. 94(suppl_3). 429–432. 11 indexed citations
10.
Clouard, Caroline, et al.. (2015). Maternal Fish Oil Supplementation Affects the Social Behavior, Brain Fatty Acid Profile, and Sickness Response of Piglets. Journal of Nutrition. 145(9). 2176–2184. 18 indexed citations
11.
Knegsel, A.T.M. van, Miel Hostens, G. de Vries Reilingh, et al.. (2011). Natural antibodies related to metabolic and mammary health in dairy cows. Preventive Veterinary Medicine. 103(4). 287–297. 23 indexed citations
12.
Ginkel, Frederik W. van, et al.. (2011). Conjunctiva-associated lymphoid tissue in avian mucosal immunity. Developmental & Comparative Immunology. 36(2). 289–297. 24 indexed citations
13.
Knegsel, A.T.M. van, et al.. (2009). T1 Natural autoantibodies in milk and their role in the development of mastitis in dairy cows. Socio-Environmental Systems Modeling.
14.
15.
Lammers, A., et al.. (2004). Homotopes affect primary and secondary antibody responses in poultry. Vaccine. 23(21). 2731–2739. 10 indexed citations
16.
Lammers, A., et al.. (2003). Adoptive transfer of natural antibodies to non-immunized chickens affects subsequent antigen-specific humoral and cellular immune responses. Developmental & Comparative Immunology. 28(1). 51–60. 46 indexed citations
17.
18.
Lammers, A., Piet J. M. Nuijten, & Hilde E. Smith. (1999). The fibronectin binding proteins of Staphylococcus aureus are required for adhesion to and invasion of bovine mammary gland cells. FEMS Microbiology Letters. 180(1). 103–109. 88 indexed citations
19.
Oldenhuis, R, et al.. (1989). Degradation of chlorinated and non-chlorinated aromatic solvents in soil suspensions by pure bacterial cultures. Applied Microbiology and Biotechnology. 30(2). 46 indexed citations
20.
Staay, F. Josef van der, Wijnand Raaijmakers, A. Lammers, & J.A.D.M. Tonnaer. (1989). Selective fimbria lesions impair acquisition of working and reference memory of rats in a complex spatial discrimination task. Behavioural Brain Research. 32(2). 151–161. 44 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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