H Kisaki
Impact in
- Molecular Biology top 10%
- Cell death mechanisms and regulation
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- Ubiquitin and proteasome pathways
- Mitochondrial Function and Pathology
Papers in
-
- Retinoids in leukemia and cellular processes 3
- Ubiquitin and proteasome pathways 1
- Cell death mechanisms and regulation 1
- Genetics 2
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Yutaka Emoto (4 shared papers)Surender Kharbanda (4 shared papers)Yoshinobu Manome (3 shared papers)May C. Robertson (1 shared paper)Tariq Ghayur (1 shared paper)Gudrun Meinhardt (1 shared paper)W. Wei‐Lynn Wong (1 shared paper)Ralph R. Weichselbaum (1 shared paper)
- Journals
- Blood (2 papers)Biochemical and Biophysical Research Communications (1 paper)The EMBO Journal (1 paper)Molecular Pharmacology (1 paper)PubMed (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
H Kisaki
6 papers receiving 759 citations
H Kisaki's Hit Papers
Peers
Comparison fields: 5 of 65
- Molecular Biology 676
- Cell Biology 98
- Immunology 114
- Cancer Research 77
- Oncology 135
Countries citing papers authored by H Kisaki
This map shows the geographic impact of H Kisaki'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 H Kisaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H Kisaki more than expected).
Fields of papers citing papers by H Kisaki
This network shows the impact of papers produced by H Kisaki. 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 H Kisaki. The network helps show where H Kisaki may publish in the future.
Co-authors
The 19 scholars most cited alongside H Kisaki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Proteolytic activation of protein kinase C delta by an ICE‐like protease in apoptotic cells. Hit paper breakdown → | 1995 | 610 |
| 2 | 1996 | 101 | |
| 3 | 1994 | 19 | |
| 4 | 1982 | 19 | |
| 5 | 1996 | 12 | |
| 6 | Production of a novel monoclonal antibody, JT-95, which can detect antigen of thyroid carcinoma. | 1996 | 12 |
About H Kisaki
H Kisaki is a scholar working on Molecular Biology, Genetics, Hematology, Immunology and Endocrinology, Diabetes and Metabolism, having authored 6 papers that have together received 773 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (3 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Ubiquitin and proteasome pathways (1 paper), T-cell and Retrovirus Studies (1 paper), Thyroid Cancer Diagnosis and Treatment (1 paper), Phagocytosis and Immune Regulation (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Molecular Biology (676 citations), Cell Biology (98 citations), Immunology (114 citations), Cancer Research (77 citations) and Oncology (135 citations). H Kisaki has collaborated with scholars based in United States and Japan. Frequent co-authors include Yutaka Emoto, Surender Kharbanda, Yoshinobu Manome, May C. Robertson, Tariq Ghayur, Gudrun Meinhardt, W. Wei‐Lynn Wong, Ralph R. Weichselbaum, Robert Kamen and D Kufe. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications, The EMBO Journal, Molecular Pharmacology and PubMed.
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.