K. Kogishi
- Molecular Biology
- Immunology top 10%
- Cancer Research top 10%
- Physiology
- Oncology
- Co-authors
- Misao SuzukiKazuhiro KitadaFumihiko MatsudaReiko ShinkuraTadao SerikawaTasuku HonjoKei TashiroKoichi Ikuta
- Topics
- Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers)Alzheimer's disease research and treatments (2 papers)Neonatal Respiratory Health Research (2 papers)
- Cited by
- ImmunologyCancer ResearchAging
In The Last Decade
K. Kogishi
14 papers receiving 731 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Molecular Biology 320
- Immunology 293
- Cancer Research 196
- Physiology 135
- Oncology 123
Countries citing papers authored by K. Kogishi
This map shows the geographic impact of K. Kogishi'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 K. Kogishi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Kogishi more than expected).
Fields of papers citing papers by K. Kogishi
This network shows the impact of papers produced by K. Kogishi. 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 K. Kogishi. The network helps show where K. Kogishi may publish in the future.
Co-authorship network of co-authors of K. Kogishi
This figure shows the co-authorship network connecting the top 25 collaborators of K. Kogishi. A scholar is included among the top collaborators of K. Kogishi 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 K. Kogishi. K. Kogishi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Alymphoplasia is caused by a point mutation in the mouse gene encoding Nf-κb-inducing kinasebreakdown → | 379 |
| 3 | 23 | |
| 4 | 5 | |
| 5 | Amyloid A protein amyloidosis induced in apolipoprotein-E-deficient mice. | 28 |
| 6 | 18 | |
| 7 | 11 | |
| 8 | Apolipoprotein A-II gene and development of amyloidosis and senescence in a congenic strain of mice carrying amyloidogenic ApoA-II. | 39 |
| 9 | 68 | |
| 10 | Lung protein leakage in respiratory failure induced by a hybridoma making monoclonal antibody to the hydrophobic surfactant-associated polypeptide SP-B. | 16 |
| 11 | 8 | |
| 12 | 40 | |
| 13 | A molecular-pathologic approach to murine senile amyloidosis. Serum precursor-apolipoprotein A-II variant (Pro5----Gln) presents only in the senile amyloidosis-prone SAM-P/1 and SAM-P/2 mice. | 18 |
| 14 | 87 |
About K. Kogishi
K. Kogishi is a scholar working on Cellular and Molecular Neuroscience, Immunology and Allergy and Endocrine and Autonomic Systems, having authored 14 papers that have together received 744 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers), Alzheimer's disease research and treatments (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Immunology (293 citations), Cancer Research (196 citations) and Aging (21 citations). K. Kogishi has collaborated with scholars based in Japan, Ecuador and Canada. Frequent co-authors include Misao Suzuki, Kazuhiro Kitada, Fumihiko Matsuda, Reiko Shinkura, Tadao Serikawa, Tasuku Honjo, Kei Tashiro, Koichi Ikuta, Keiichi Higuchi and T. Takeda. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Journal of Lipid Research.
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.