C.A. Kan

1.3k citations
49 papers · 979 · h-index 16

Impact in

Papers in

    • Animal Nutrition and Physiology 15
    • Pharmacological Effects and Assays 5
    • Meat and Animal Product Quality 4
    • Coccidia and coccidiosis research 3
    • Pesticide Residue Analysis and Safety 20

C.A. Kan

47 papers receiving 871 citations

Peers

C.A. Kan
Comparison fields: 5 of 83
  • Health, Toxicology and Mutagenesis 379
  • Animal Science and Zoology 265
  • Food Science 331
  • Pollution 211
  • Cancer Research 121
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Citations per field
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Citations per year

Countries citing papers authored by C.A. Kan

Since Specialization
Citations

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

Fields of papers citing papers by C.A. Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C.A. Kan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C.A. Kan Line = papers co-authored together C.A. Kan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006166
2 2000128
3 200677
4 200464
5 199464
6 200661
7 200646
8 198737
9
Comparison of the biological efficacy of DL-methionine and hydroxy4-methylthiobutanoic acid (HMB) in pigs and poultry
200329
10 200723
11
Initial risk assessment of polycyclic aromatic hydrocarbons (PAHs) in feed (materials)
200618
12 198817
13 198316
14 199815
15 199415
16 197815
17 199114
18 197814
19 199013
20 200412

About C.A. Kan

C.A. Kan is a scholar working on Animal Science and Zoology, Food Science, Health, Toxicology and Mutagenesis, Pharmacology and Pollution, having authored 49 papers that have together received 979 indexed citations. Recurring topics across this work include Pesticide Residue Analysis and Safety (20 papers), Animal Nutrition and Physiology (15 papers), Toxic Organic Pollutants Impact (7 papers), Pharmacological Effects and Assays (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Meat and Animal Product Quality (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Coccidia and coccidiosis research (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (379 citations), Animal Science and Zoology (265 citations), Food Science (331 citations), Pollution (211 citations) and Cancer Research (121 citations). C.A. Kan has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Gerrit A. Meijer, Michael Petz, L.A.P. Hoogenboom, Marco J. Zeilmaker, W.A. Traag, W.F. Jacobs‐Reitsma, N.M. Bolder, G. van der Weg, H.J. Keukens and J.C.H. van Eijkeren. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Additives & Contaminants, Animal Feed Science and Technology, Chemosphere and Poultry Science.

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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