Ken Ishida

774 citations
25 papers · 375 · h-index 10

Impact in

  • Parasitology top 10%
    • Bird parasitology and diseases
    • Vector-borne infectious diseases
    • Microbial Community Ecology and Physiology
    • Avian ecology and behavior

Papers in

Ken Ishida

22 papers receiving 364 citations

Peers

Ken Ishida
Comparison fields: 5 of 86
  • Parasitology 63
  • Ecology 124
  • Developmental Biology 10
  • Immunology and Allergy 20
  • Radiological and Ultrasound Technology 15
Replace Matteo Riccardo Di Nicola with:
Matteo Riccardo Di Nicola Italy
Stephen G. Martin United States
M. Sasaki Japan
Richard D. Spall United States
David E. Joyner United States
Olga N. Kuvardina Germany
Tom Goldschmidt Germany
B. Brea Álvarez Argentina
Karin Andersen Norway
M Higuchi Japan
Ken Ishida relative to Matteo Riccardo Di Nicola Italy Matteo Riccardo Di Nicola's profile →
Citations per field
00.5×10×15×
Matteo Riccardo Di Nicola · 1×
Citations per year

Countries citing papers authored by Ken Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Ken Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201390
2 201466
3 199546
4 201145
5 201622
6 201319
7 201716
8 201011
9 202310
10 20139
11 20129
12 20217
13 20216
14
[Osteocyte and DMP1].
20126
15 20154
16 20143
17
Variation of fumarolic gas composition along the volcanic activity of Mt Hakone, Japan
20161
18 20161
19 20251
20 20151

About Ken Ishida

Ken Ishida is a scholar working on Molecular Biology, Global and Planetary Change, Ecology, Oceanography and Rheumatology, having authored 25 papers that have together received 375 indexed citations. Recurring topics across this work include Radioactive contamination and transfer (5 papers), Marine and coastal plant biology (4 papers), Marine Biology and Ecology Research (4 papers), Bone and Dental Protein Studies (3 papers), Bird parasitology and diseases (2 papers), Wildlife Ecology and Conservation (2 papers), dental development and anomalies (2 papers) and Nuclear Issues and Defense (2 papers). The work is most often cited by research in Parasitology (63 citations), Ecology (124 citations), Developmental Biology (10 citations), Immunology and Allergy (20 citations) and Radiological and Ultrasound Technology (15 citations). Ken Ishida has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Satoru Toyosawa, Sunao Sato, Yuzo Ogawa, Mitsunobu Kishino, Yasuo Fukuda, Yu Usami, Masaya Okura, John C. Wingfield, Susumu Ishii and Masaru Wada. Their work appears in journals such as Frontiers in Marine Science, Scientific Reports, Food Science & Nutrition, Journal of Heredity and Veterinary Parasitology.

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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