Koji Ando

78 papers receiving 635 citations

Peers

Koji Ando
Comparison fields: 5 of 81
  • Hematology 88
  • Immunology 168
  • Parasitology 49
  • Microbiology 4
  • Agronomy and Crop Science 52
Replace Rachele Antonacci with:
Rachele Antonacci Italy
Michael Liew United States
Virginie Martin France
Manabu Kawahara Japan
Aviva Azriel Israel
Marianna Feretzaki United States
Eugene Huang United States
Matthew R. Digby Australia
Harvey E. Faber United States
Kirkwood Jm United States
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Citations per year

Countries citing papers authored by Koji Ando

Since Specialization
Citations

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

Fields of papers citing papers by Koji Ando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201240
2 201739
3 200831
4 201628
5
Immunohistochemical detection of mutated epidermal growth factor receptors in pulmonary adenocarcinoma.
201026
6 200624
7 200521
8 201421
9
Media and incubation effects on morphological characteristics of Penicillium and Aspergillus.
200021
10 201419
11 201318
12 199218
13 202017
14 201917
15 200916
16 201313
17 200612
18 201812
19 199812
20 199111

About Koji Ando

Koji Ando is a scholar working on Immunology, Molecular Biology, Hematology, Ecology, Evolution, Behavior and Systematics and Oncology, having authored 84 papers that have together received 651 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (18 papers), Acute Myeloid Leukemia Research (12 papers), Vector-Borne Animal Diseases (9 papers), Plant Pathogens and Fungal Diseases (5 papers), Mollusks and Parasites Studies (5 papers), Parasite Biology and Host Interactions (4 papers), Cell Adhesion Molecules Research (4 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Hematology (88 citations), Immunology (168 citations), Parasitology (49 citations), Microbiology (4 citations) and Agronomy and Crop Science (52 citations). Koji Ando has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Yasushi Miyazaki, Tomoko Hata, Yoshitaka Imaizumi, Yasushi Sawayama, Jun Taguchi, Yasuo Chinzei, Shinya Sato, Hidehiro Itonaga, Shinichiro Yoshida and Daisuke Imanishi. Their work appears in journals such as Blood, International Journal of Hematology, Journal of Clinical Oncology, Journal of Helminthology and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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