N. Haagsma

75 total papers · 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 J. B. Luten, C.M. van Gent, Johannes A. Lenstra, Jaap J. Beintema, Peter J. S. van Kooten, Willem van Eden, Peter Scherpenisse, A. van Amerongen, Michael W.T. Tanck and M Olling 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 682 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
N. Haagsma 255 219 191 165 165 49 759
Anna Stachniuk 217 0.9× 218 1.0× 129 0.7× 77 0.5× 78 0.5× 37 707
Danilo Giusepponi 182 0.7× 209 1.0× 118 0.6× 108 0.7× 82 0.5× 38 818
Harold C. Thompson 155 0.6× 162 0.7× 74 0.4× 157 1.0× 214 1.3× 66 900
Giorgio Saluti 153 0.6× 215 1.0× 102 0.5× 137 0.8× 120 0.7× 36 672
Xu Gu 154 0.6× 134 0.6× 89 0.5× 49 0.3× 190 1.2× 52 667
R. Self 271 1.1× 151 0.7× 56 0.3× 45 0.3× 169 1.0× 49 731
Mena Ritota 232 0.9× 267 1.2× 85 0.4× 72 0.4× 41 0.2× 33 695
M.I.N. Silveira 102 0.4× 352 1.6× 105 0.5× 81 0.5× 118 0.7× 28 861
Nathalie Gillard 382 1.5× 217 1.0× 163 0.9× 74 0.4× 61 0.4× 56 848
Jing Li 248 1.0× 450 2.1× 59 0.3× 69 0.4× 104 0.6× 29 718

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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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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