Naohide Mori
- Molecular Biology
- Hepatology top 5%
- Cancer Research top 10%
- Epidemiology
- Oncology
- Co-authors
- Akira TangokuTakao TamesaNorio IizukaMasaaki OkaYoshihiko HamamotoKenji HamadaHisafumi Yamada‐OkabeShunji Uchimura
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (5 papers)Gene expression and cancer classification (4 papers)Hepatitis B Virus Studies (3 papers)
- Journals
- The LancetOncogeneFEBS Letters
- Partner nations
- JapanSwitzerlandGreece
In The Last Decade
Naohide Mori
14 papers receiving 875 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 500
- Hepatology 286
- Cancer Research 246
- Epidemiology 212
- Oncology 145
Countries citing papers authored by Naohide Mori
This map shows the geographic impact of Naohide Mori'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 Naohide Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naohide Mori more than expected).
Fields of papers citing papers by Naohide Mori
This network shows the impact of papers produced by Naohide Mori. 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 Naohide Mori. The network helps show where Naohide Mori may publish in the future.
Co-authorship network of co-authors of Naohide Mori
This figure shows the co-authorship network connecting the top 25 collaborators of Naohide Mori. A scholar is included among the top collaborators of Naohide Mori 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 Naohide Mori. Naohide Mori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | High serum levels of vascular endothelial growth factor after hepatectomy are associated with poor prognosis in hepatocellular carcinoma. | 18 |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 29 | |
| 5 | 1 | |
| 6 | Risk factors for postoperative liver failure after hepatectomy for hepatocellular carcinoma. | 7 |
| 7 | 80 | |
| 8 | [A case of disseminated tumor from cecal cancer with survival for over 5 years after twice surgical resection and systemic chemotherapy]. | 0 |
| 9 | 34 | |
| 10 | 70 | |
| 11 | 32 | |
| 12 | [A case of Vp4 hepatocellular carcinoma treated with surgical resection and continuous intrahepatic artery infusion chemotherapy of low-dose cisplatin and 5-fluorouracil]. | 0 |
| 13 | Telomerase activity and Nm23-H2 protein expression in hepatocellular carcinoma. | 15 |
| 14 | 392 | |
| 15 | Comparison of gene expression profiles between hepatitis B virus- and hepatitis C virus-infected hepatocellular carcinoma by oligonucleotide microarray data on the basis of a supervised learning method. | 209 |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 1 |
About Naohide Mori
Naohide Mori is a scholar working on Hepatology, Cancer Research and Gastroenterology, having authored 18 papers that have together received 895 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Gene expression and cancer classification (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Hepatology (286 citations), Cancer Research (246 citations) and Molecular Biology (500 citations). Naohide Mori has collaborated with scholars based in Japan, Switzerland and Greece. Frequent co-authors include Akira Tangoku, Takao Tamesa, Norio Iizuka, Masaaki Oka, Yoshihiko Hamamoto, Kenji Hamada, Hisafumi Yamada‐Okabe, Shunji Uchimura, Takanobu Miyamoto and Hironobu Nakayama. Their work appears in journals such as The Lancet, Oncogene and FEBS 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.