Maki Kanda

514 citations
37 papers · 450 · h-index 12

Impact in

Papers in

Maki Kanda

36 papers receiving 439 citations

Peers

Maki Kanda
Comparison fields: 5 of 68
  • Animal Science and Zoology 176
  • Food Science 236
  • Analytical Chemistry 79
  • Insect Science 77
  • Pollution 56
Replace Ivan Pecorelli with:
Ivan Pecorelli Italy
E. Lindfors Finland
Huijuan Yang China
Stanisław Semeniuk Poland
Elena A. Zvereva Russia
Nathan Rummel United States
Patrícia Amaral Souza Tette Brazil
Vesna Cerkvenik‐Flajs Slovenia
Ufuk Tansel Şireli Türkiye
Jack F. Kay United Kingdom
Maki Kanda relative to Ivan Pecorelli Italy Ivan Pecorelli's profile →
Citations per field
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Ivan Pecorelli · 1×
Citations per year

Countries citing papers authored by Maki Kanda

Since Specialization
Citations

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

Fields of papers citing papers by Maki Kanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maki Kanda, 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 Maki Kanda Line = papers co-authored together Maki Kanda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018100
2 201738
3 201531
4 201727
5 201222
6 201521
7 201018
8 201115
9 201214
10 201014
11 201113
12 201912
13 201311
14 200411
15 202111
16 20039
17 20188
18 20127
19 20187
20 20207

About Maki Kanda

Maki Kanda is a scholar working on Food Science, Animal Science and Zoology, Pharmacology, Insect Science and Molecular Biology, having authored 37 papers that have together received 450 indexed citations. Recurring topics across this work include Pesticide Residue Analysis and Safety (21 papers), Pharmacological Effects and Assays (10 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers), Insect and Pesticide Research (7 papers), Coccidia and coccidiosis research (5 papers), Identification and Quantification in Food (4 papers), Analytical Chemistry and Chromatography (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). The work is most often cited by research in Animal Science and Zoology (176 citations), Food Science (236 citations), Analytical Chemistry (79 citations), Insect Science (77 citations) and Pollution (56 citations). Maki Kanda has collaborated with scholars based in Japan. Frequent co-authors include Hiroshi Hayashi, Takayuki Nakajima, Takeo Sasamoto, Ichiro TAKANO, Setsuko Kanai, Ru Jia, Qingqing Jiang, Kazufumi Osako, Emiko Okazaki and Naho Nakazawa. Their work appears in journals such as Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi), Food Additives & Contaminants Part A, Journal of AOAC International, Journal of Chromatography B and Nutrients.

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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