N. Haagsma

915 total citations
49 papers, 759 citations indexed

About

N. Haagsma is a scholar working on Animal Science and Zoology, Food Science and Pharmacology. According to data from OpenAlex, N. Haagsma has authored 49 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Animal Science and Zoology, 17 papers in Food Science and 16 papers in Pharmacology. Recurrent topics in N. Haagsma's work include Antibiotics Pharmacokinetics and Efficacy (16 papers), Pesticide Residue Analysis and Safety (15 papers) and Pharmacological Effects and Assays (15 papers). N. Haagsma is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (16 papers), Pesticide Residue Analysis and Safety (15 papers) and Pharmacological Effects and Assays (15 papers). N. Haagsma collaborates with scholars based in Netherlands, Denmark and Germany. N. Haagsma's co-authors include C.M. van Gent, J. B. Luten, Johannes A. Lenstra, Jaap J. Beintema, Peter J. S. van Kooten, Willem van Eden, Peter Scherpenisse, A. van Amerongen, M Olling and Michael W.T. Tanck and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A and Aquaculture.

In The Last Decade

N. Haagsma

48 papers receiving 683 citations

Peers

N. Haagsma

ASZ

PHARM

SPECT

M.I.N. Silveira Portugal

S. Armstrong Hewitt United Kingdom

Aurélien Desmarchelier Switzerland

Piotr Jedziniak Poland

Lin Cheng China

Thomas Bessaire Switzerland

Lucía Geis‐Asteggiante United States

Connor Black United Kingdom

R. Schilt Netherlands

M.I.N. Silveira Portugal

N. Haagsma

102 ×0.4

353 ×1.6

105 ×0.5

ASZ

81 ×0.5

PHARM

118 ×0.7

SPECT

Citations per year, relative to N. Haagsma N. Haagsma (= 1×) peers M.I.N. Silveira

Countries citing papers authored by N. Haagsma

Since Specialization

Citations

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

Fields of papers citing papers by N. Haagsma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Haagsma

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

All Works

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20 of 20 papers shown

Haagsma, N., et al.. (1999). Species identification by oligonucleotide hybridisation: the influence of processing of meat products. Journal of the Science of Food and Agriculture. 79(1). 53–57. 29 indexed citations

Bergwerff, Aldert A., Peter Scherpenisse, & N. Haagsma. (1998). HPLC determination of residues of spectinomycin in various tissue types from husbandry animals†. The Analyst. 123(10). 2139–2144. 12 indexed citations

Haagsma, N., et al.. (1996). High-Performance Liquid Chromatographic Determination of Fenbendazole and Its Metabolites, Sulphoxide and Sulphone, in Fish Muscle Tissue. Journal of Liquid Chromatography & Related Technologies. 19(11). 1819–1830. 5 indexed citations

Lenstra, Johannes A., et al.. (1995). Rapid species identification in meat by using satellite DNA probes. European Food Research and Technology. 201(6). 577–582. 29 indexed citations

Tanck, Michael W.T., et al.. (1995). Negative effect of malachite green on haematocrit of rainbow trout (Onchorhynchus mykiss Walbaum). 3 indexed citations

Haagsma, N., et al.. (1995). Evolution and recombination of bovine DNA repeats. Journal of Molecular Evolution. 41(3). 2 indexed citations

Hoogenboom, L.A.P., et al.. (1994). Stability of sulphadimidine during raw fermented sausage preparation. European Food Research and Technology. 198(6). 480–485. 3 indexed citations

Haagsma, N., et al.. (1993). High-performance liquid chromatographic determination of spectinomycin in swine, calf and chicken plasma. Journal of Chromatography B Biomedical Sciences and Applications. 615(2). 289–295. 13 indexed citations

Haagsma, N., et al.. (1993). High-performance liquid chromatographic determination of the anthelmintic mebendazole in eel muscle tissue. Journal of Chromatography B Biomedical Sciences and Applications. 615(1). 186–190. 9 indexed citations

10.

Moretti, V.M., et al.. (1992). Automated high-performance liquid chromatographic determination of chloramphenicol in milk and swine muscle tissue using on-line immunoaffinity sample clean-up. Journal of Chromatography B Biomedical Sciences and Applications. 583(1). 77–82. 15 indexed citations

11.

Haagsma, N., et al.. (1991). Analysis of chloramphenicol residues in swine tissues and milk: comparative study using different screening and quantitative methods. Journal of Chromatography B Biomedical Sciences and Applications. 566(1). 173–185. 23 indexed citations

12.

Pijpers, A., Eric J. Schoevers, N. Haagsma, & J.H.M. Verheijden. (1991). Plasma levels of oxytetracycline, doxycycline, and minocycline in pigs after oral administration in feed1. Journal of Animal Science. 69(11). 4512–4522. 25 indexed citations

13.

Haagsma, N. & Marcel Mengelers. (1989). A rapid fluorimetric screening method for chlortetracycline, oxytetracycline and tetracycline in pig meat and kidney tissues. European Food Research and Technology. 188(3). 227–231. 8 indexed citations

14.

Haagsma, N., et al.. (1988). Thin-layer chromatographic screening method for the tranquillizers azaperone, propiopromazine and carazolol in pig tissues. Journal of Chromatography A. 436(1). 73–79. 27 indexed citations

15.

Haagsma, N., et al.. (1987). Determination of chloramphenicol in swine muscle tissue using a monoclonal antibody-mediated clean-up procedure. Journal of Chromatography A. 411. 415–421. 42 indexed citations

16.

Haagsma, N., et al.. (1987). Rapid sample preparation methods for analysis of residues of sulfamethazine and its N⁴‐acetyl and desamino metabolites in swine tissue by HPLC. Biomedical Chromatography. 2(1). 41–45. 23 indexed citations

17.

Haagsma, N.. (1985). Rapid thin-layer chromatographic screening method for the detection of five sulfonamides in swine tissues: Collaborative study. European Food Research and Technology. 181(1). 45–46. 11 indexed citations

18.

Haagsma, N., et al.. (1984). A rapid thin‐layer chromatographic screening method for five sulfonamides in animal tissues. Veterinary Quarterly. 6(1). 8–12. 17 indexed citations

19.

Haagsma, N., et al.. (1981). Automated enzymatic determination of glycogen in bovine muscle tissue. European Food Research and Technology. 172(6). 454–456. 6 indexed citations

20.

Haagsma, N., et al.. (1981). Automated enzymatic determination of ATP in bovine muscle tissue. European Food Research and Technology. 173(5). 362–364. 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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