H. OKAZAKI
- Molecular Biology
- Hepatology top 5%
- Cell Biology top 10%
- Epidemiology
- Oncology
- Co-authors
- Tetsuya NISHIMOTOMotoaki OhtsuboW.J. OuTsuneo OmuraAkio ItoYutaro TakamuraO EndoShôji Nakamura
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (4 papers)Neurological diseases and metabolism (2 papers)Renal Transplantation Outcomes and Treatments (2 papers)
- Partner nations
- JapanUnited StatesSlovakia
In The Last Decade
H. OKAZAKI
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 674
- Hepatology 194
- Cell Biology 172
- Epidemiology 113
- Oncology 100
Countries citing papers authored by H. OKAZAKI
This map shows the geographic impact of H. OKAZAKI'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. OKAZAKI with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. OKAZAKI more than expected).
Fields of papers citing papers by H. OKAZAKI
This network shows the impact of papers produced by H. OKAZAKI. 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. OKAZAKI. The network helps show where H. OKAZAKI may publish in the future.
Co-authorship network of co-authors of H. OKAZAKI
This figure shows the co-authorship network connecting the top 25 collaborators of H. OKAZAKI. A scholar is included among the top collaborators of H. OKAZAKI 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 H. OKAZAKI. H. OKAZAKI 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 | Bovine neuronal ceroild lipofusinosis in Australian Devon cattle. | 0 |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 46 | |
| 9 | 136 | |
| 10 | 116 | |
| 11 | 62 | |
| 12 | Color Doppler sonographic features of hepatocellular carcinoma and the evaluation of the effect of transcatheter arterial embolization | 1 |
| 13 | 87 | |
| 14 | Effective radiation therapy for crescentic glomerulonephritis after renal transplantation. | 1 |
| 15 | 319 | |
| 16 | The effect of donor age and sex on cyclosporine associated nephrotoxicity. | 9 |
| 17 | 2 | |
| 18 | 2 | |
| 19 | [A new K-antigen of Vibrio parahaemolyticus (author's transl)]. | 1 |
| 20 | [INHIBITION OF VACCINAL INFECTION BY A FACTOR DERIVED FROM TISSUE INFECTED BY HOMOLOGOUS VIRUS. VI. PURIFICATION AND CHARACTERIZATION OF THE INHIBITORY FACTOR]. | 1 |
About H. OKAZAKI
H. OKAZAKI is a scholar working on Transplantation, Hepatology and Urology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Neurological diseases and metabolism (2 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Hepatology (194 citations), Cell Biology (172 citations) and Molecular Biology (674 citations). H. OKAZAKI has collaborated with scholars based in Japan, United States and Slovakia. Frequent co-authors include Tetsuya NISHIMOTO, Motoaki Ohtsubo, W.J. Ou, Tsuneo Omura, Akio Ito, Yutaro Takamura, O Endo, Shôji Nakamura, Yoshiharu Ohaki and H. N. BERNSTEIN. Their work appears in journals such as The Journal of Cell Biology, The EMBO Journal and Applied Physics Letters.
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.