Azuma Tsukise
- Molecular Biology
- Immunology
- Microbiology top 5%
- Cell Biology top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Wilfried MeyerKazuyorí YamadaTadashi YasuiOsamu FujimoriWieland MeyerTakayuki NaraK NeurandM. Okano
- Topics
- Glycosylation and Glycoproteins Research (35 papers)Antimicrobial Peptides and Activities (22 papers)Toxin Mechanisms and Immunotoxins (13 papers)
- Cited by
- MicrobiologyEquineCell Biology
- Journals
- SHILAP Revista de lepidopterologíaJournal of Histochemistry & CytochemistryHistochemistry and Cell Biology
In The Last Decade
Azuma Tsukise
88 papers receiving 628 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 300
- Immunology 171
- Microbiology 151
- Cell Biology 136
- Public Health, Environmental and Occupational Health 53
Countries citing papers authored by Azuma Tsukise
This map shows the geographic impact of Azuma Tsukise'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 Azuma Tsukise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azuma Tsukise more than expected).
Fields of papers citing papers by Azuma Tsukise
This network shows the impact of papers produced by Azuma Tsukise. 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 Azuma Tsukise. The network helps show where Azuma Tsukise may publish in the future.
Co-authorship network of co-authors of Azuma Tsukise
This figure shows the co-authorship network connecting the top 25 collaborators of Azuma Tsukise. A scholar is included among the top collaborators of Azuma Tsukise based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Azuma Tsukise. Azuma Tsukise is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | Aspects of nasal gland function in the oppossum (Didelphis virginiana Kerr, 1792) as indicated by carbohydrate histochemistry | 2 |
| 14 | Structural and Carbohydrate Histochemical Aspects of the Snout Skin of the Opossum,Didelphis virginiana Kerr | 2 |
| 15 | 4 | |
| 16 | 12 | |
| 17 | 10 | |
| 18 | 13 | |
| 19 | 10 | |
| 20 | The histochemistry of carbohydrates in the nasolabial glands of the goat | 1 |
About Azuma Tsukise
Azuma Tsukise is a scholar working on Microbiology, Cell Biology and Equine, having authored 89 papers that have together received 643 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (35 papers), Antimicrobial Peptides and Activities (22 papers) and Toxin Mechanisms and Immunotoxins (13 papers). The work is most often cited by research in Microbiology (151 citations), Equine (20 citations) and Cell Biology (136 citations). Azuma Tsukise has collaborated with scholars based in Japan, Germany and Austria. Frequent co-authors include Wilfried Meyer, Kazuyorí Yamada, Tadashi Yasui, Osamu Fujimori, Wieland Meyer, Takayuki Nara, K Neurand, M. Okano, Junpei Kimura and Hiroshi Gomi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Histochemistry & Cytochemistry and Histochemistry and Cell Biology.
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.