Akemi Kojima

58 papers receiving 1.3k citations

Peers

Akemi Kojima
Comparison fields: 5 of 63
  • Molecular Medicine 666
  • Endocrinology 442
  • Food Science 635
  • Pollution 397
  • Microbiology 198
Replace Kanako Ishihara with:
Kanako Ishihara Japan
Dariusz Wasyl Poland
Manal AbuOun United Kingdom
F.A. Clifton-Hadley United Kingdom
Lourdes Migura‐García Spain
Cesar A. Morales United States
M. Concepción Porrero Spain
Jorge Rodrigues Portugal
Linda English United States
Hyang-Mi Nam South Korea
Akemi Kojima relative to Kanako Ishihara Japan Kanako Ishihara's profile →
Citations per field
00.5×1.5×
Kanako Ishihara · 1×
Citations per year

Countries citing papers authored by Akemi Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Akemi Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005168
2
Correlation between the usage volume of veterinary therapeutic antimicrobials and resistance in Escherichia coli isolated from the feces of food-producing animals in Japan.
200582
3 200577
4 200661
5 200454
6 200252
7 200947
8 200846
9 201545
10
Association of antimicrobial resistance in Campylobacter isolated from food-producing animals with antimicrobial use on farms.
200742
11 200640
12 200738
13 201337
14 200536
15 200935
16 200832
17 200628
18 199726
19 200225
20 200724

About Akemi Kojima

Akemi Kojima is a scholar working on Food Science, Molecular Medicine, Infectious Diseases, Endocrinology and Pollution, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (27 papers), Antibiotic Resistance in Bacteria (20 papers), Pharmaceutical and Antibiotic Environmental Impacts (12 papers), Escherichia coli research studies (10 papers), Microbial infections and disease research (10 papers), Bacteriophages and microbial interactions (8 papers), Aquaculture disease management and microbiota (7 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). The work is most often cited by research in Molecular Medicine (666 citations), Endocrinology (442 citations), Food Science (635 citations), Pollution (397 citations) and Microbiology (198 citations). Akemi Kojima has collaborated with scholars based in Japan, Cambodia and Taiwan. Frequent co-authors include Tetsuo Asai, Toshio Takahashi, Yutaka Tamura, Kanako Ishihara, Kazuki Harada, Hidetake Esaki, Toshiya Sameshima, Manao Ozawa, Yoshikazu Ishii and Yoshimasa Sasaki. Their work appears in journals such as Foodborne Pathogens and Disease, Veterinary Microbiology, Journal of Microbiological Methods, Biologicals and Comparative Immunology Microbiology and Infectious Diseases.

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.

Explore authors with similar magnitude of impact