M. Nielen

425 total citations
17 papers, 318 citations indexed

About

M. Nielen is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Epidemiology. According to data from OpenAlex, M. Nielen has authored 17 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Agronomy and Crop Science, 7 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Epidemiology. Recurrent topics in M. Nielen's work include Animal Disease Management and Epidemiology (14 papers), Vector-Borne Animal Diseases (7 papers) and T-cell and Retrovirus Studies (3 papers). M. Nielen is often cited by papers focused on Animal Disease Management and Epidemiology (14 papers), Vector-Borne Animal Diseases (7 papers) and T-cell and Retrovirus Studies (3 papers). M. Nielen collaborates with scholars based in Netherlands, France and United Kingdom. M. Nielen's co-authors include Alison Burrell, Marie‐Josée J. Mangen, Arjan Stegeman, A. Bouma, A.A. Dijkhuizen, G. van Schaik, Y.H. Schukken, Victor P. M. G. Rutten, Hans Heesterbeek and A. Vonk Noordegraaf and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, Journal of Dairy Science and Preventive Veterinary Medicine.

In The Last Decade

M. Nielen

15 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Nielen Netherlands	10	251	128	113	95	37	17	318
Katie Portacci United States	11	228 0.9×	62 0.5×	108 1.0×	72 0.8×	85 2.3×	20	313
Séverine Rautureau France	8	207 0.8×	74 0.6×	61 0.5×	64 0.7×	88 2.4×	12	264
Anna Alba Spain	10	176 0.7×	82 0.6×	102 0.9×	150 1.6×	16 0.4×	17	283
M. G. Osmani Bangladesh	8	193 0.8×	174 1.4×	81 0.7×	123 1.3×	9 0.2×	9	344
Anh Ngoc Bui Vietnam	11	137 0.5×	94 0.7×	83 0.7×	98 1.0×	17 0.5×	26	292
Gideon Brückner France	6	121 0.5×	118 0.9×	104 0.9×	107 1.1×	8 0.2×	17	363
C. Zepeda United States	8	153 0.6×	44 0.3×	75 0.7×	85 0.9×	12 0.3×	14	265
Dónal Sammin Ireland	11	181 0.7×	60 0.5×	145 1.3×	85 0.9×	22 0.6×	15	327
Pham P. Vu Vietnam	9	228 0.9×	163 1.3×	100 0.9×	101 1.1×	5 0.1×	11	346
M.W. Stern New Zealand	7	324 1.3×	30 0.2×	207 1.8×	47 0.5×	69 1.9×	10	362

Countries citing papers authored by M. Nielen

Since Specialization

Citations

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

Fields of papers citing papers by M. Nielen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Nielen

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

All Works

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17 of 17 papers shown

Nielen, M., et al.. (2025). A clinical field trial on wound healing after disbudding of dairy calves with or without antimicrobial spray. Frontiers in Veterinary Science. 12. 1445605–1445605.

Santman-Berends, I.M.G.A., G. van Schaik, M. Nielen, et al.. (2022). Capacity of a Bayesian model to detect infected herds using disease dynamics and risk factor information from surveillance programmes: A simulation study. Preventive Veterinary Medicine. 200. 105582–105582. 4 indexed citations

Madouasse, Aurélien, Nils Toft, I.M.G.A. Santman-Berends, et al.. (2022). Output-based assessment of herd-level freedom from infection in endemic situations: Application of a Bayesian Hidden Markov model. Preventive Veterinary Medicine. 204. 105662–105662. 2 indexed citations

Santman-Berends, I.M.G.A., Simon J. More, M. Nielen, et al.. (2020). A description and qualitative comparison of the elements of heterogeneous bovine viral diarrhea control programs that influence confidence of freedom. Journal of Dairy Science. 103(5). 4654–4671. 17 indexed citations

Michel, Anita L., et al.. (2017). Farm-level risk factors associated with bovine tuberculosis in the dairy sector in Eritrea. Transboundary and Emerging Diseases. 65(1). 105–113. 8 indexed citations

Schmidt, Amand F., Olaf H. Klungel, M. Nielen, et al.. (2016). Tailoring treatments using treatment effect modification. Pharmacoepidemiology and Drug Safety. 25(4). 355–362. 10 indexed citations

Maas, Miriam, D F Keet, Victor P. M. G. Rutten, Hans Heesterbeek, & M. Nielen. (2012). Assessing the impact of feline immunodeficiency virus and bovine tuberculosis co-infection in African lions. Proceedings of the Royal Society B Biological Sciences. 279(1745). 4206–4214. 17 indexed citations

Tsai, Pei‐Shiue, et al.. (2005). The Effect of DNA Repair Defects on Reproductive Performance in Nucleotide Excision Repair (NER) Mouse Models: An Epidemiological Approach. Transgenic Research. 14(6). 845–857. 7 indexed citations

Bouma, A., et al.. (2005). Risk factors for the introduction of high pathogenicity Avian Influenza virus into poultry farms during the epidemic in the Netherlands in 2003. Preventive Veterinary Medicine. 69(1-2). 1–11. 99 indexed citations

10.

Nielen, M., et al.. (2003). Neighbourhood infections of classical swine fever during the 1997–1998 epidemic in The Netherlands. Preventive Veterinary Medicine. 61(4). 263–277. 19 indexed citations

11.

Noordegraaf, A. Vonk, et al.. (2003). Simulated hazards of loosing infection-free status in a Dutch BHV1 model. Preventive Veterinary Medicine. 62(1). 51–58. 12 indexed citations

12.

Noordegraaf, A. Vonk, M. Nielen, P. Franken, & A.A. Dijkhuizen. (2002). Simulation modelling of BHV1-control programme at national level, with special attention to sensitivity analysis. Livestock Production Science. 76(1-2). 153–170. 10 indexed citations

13.

Mangen, Marie‐Josée J., M. Nielen, & Alison Burrell. (2002). Simulated effect of pig-population density on epidemic size and choice of control strategy for classical swine fever epidemics in The Netherlands. Preventive Veterinary Medicine. 56(2). 141–163. 73 indexed citations

14.

Schaik, G. van, Y.H. Schukken, M. Nielen, A.A. Dijkhuizen, & G. Benedictus. (2001). Epidemiology: Risk factors for introduction of BHV1 into BHV1‐free Dutch dairy farms: A case‐control study. Veterinary Quarterly. 23(2). 71–76. 21 indexed citations

15.

Schaik, G. van, M. M. Shoukri, S.W. Martin, et al.. (1999). Modeling the Effect of an Outbreak of Bovine Herpesvirus Type 1 on Herd-Level Milk Production of Dutch Dairy Farms. Journal of Dairy Science. 82(5). 944–952. 17 indexed citations

16.

Noordegraaf, A. Vonk, A.W. Jalvingh, M. Nielen, P. Franken, & A.A. Dijkhuizen. (1999). Simulation modelling to support policy making in the control of Bovine Herpes Virus type I. 18–19. 1 indexed citations

17.

Nielen, M., et al.. (1995). [Testing area Wehl: study of risks of contacts in behalf of foot-and-mouth disease].. PubMed. 120(21). 618–22. 1 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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