M. Kage
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
Papers in
- Hepatology 10
- Liver Disease and Transplantation 5
- Hepatitis C virus research 4
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- Parasites and Host Interactions 7
- Co-authors
- O InoueKazuhide ShimamatsuKatsuhiro OkudaH. KumadaJ. LudwigEtsuko HashimotoMichitami YanoJay H. Lefkowitch
- Journals
- Hepatology (4 papers)Cytopathology (2 papers)Japanese Journal of Clinical Oncology (2 papers)Annals of Oncology (2 papers)British Journal of Cancer (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
M. Kage
34 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Hepatology 632
- Oncology 591
- Epidemiology 637
- Pulmonary and Respiratory Medicine 372
- Cancer Research 130
Countries citing papers authored by M. Kage
This map shows the geographic impact of M. Kage'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 M. Kage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kage more than expected).
Fields of papers citing papers by M. Kage
This network shows the impact of papers produced by M. Kage. 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 M. Kage. The network helps show where M. Kage may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Kage, 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 | 2024 | 3 | |
| 2 | 2015 | 1 | |
| 3 | Association of PD-L1 overexpression with activating EGFR mutations in surgically resected nonsmall-cell lung cancer Hit paper breakdown → | 2014 | 525 |
| 4 | 2010 | 42 | |
| 5 | 2010 | 25 | |
| 6 | 2009 | 87 | |
| 7 | 2008 | 25 | |
| 8 | 2008 | 4 | |
| 9 | Budd-Chiari syndrome complicated by hepatocellular carcinoma with no evidence of infection with hepatitis virus: a case report. | 2000 | 3 |
| 10 | 1997 | 5 | |
| 11 | 1997 | 96 | |
| 12 | 1996 | 2 | |
| 13 | 1996 | 454 | |
| 14 | 1995 | 10 | |
| 15 | 1993 | 12 | |
| 16 | 1991 | 21 | |
| 17 | 1991 | 1 | |
| 18 | 1991 | 18 | |
| 19 | [Pathological studies of esophageal wall after endoscopic injection sclerotherapy]. | 1988 | 2 |
| 20 | 1986 | 2 |
About M. Kage
M. Kage is a scholar working on Hepatology, Parasitology, Pathology and Forensic Medicine, Gastroenterology and Oncology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Parasites and Host Interactions (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Liver Disease and Transplantation (5 papers), Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (4 papers), Systemic Sclerosis and Related Diseases (4 papers), Neonatal Health and Biochemistry (3 papers) and Research on Leishmaniasis Studies (3 papers). The work is most often cited by research in Hepatology (632 citations), Oncology (591 citations), Epidemiology (637 citations), Pulmonary and Respiratory Medicine (372 citations) and Cancer Research (130 citations). M. Kage has collaborated with scholars based in Japan and United States. Frequent co-authors include O Inoue, Kazuhide Shimamatsu, Katsuhiro Okuda, H. Kumada, J. Ludwig, Etsuko Hashimoto, Michitami Yano, Jay H. Lefkowitch, Keiichi Ikeda and Akihiko Kawahara. Their work appears in journals such as Hepatology, Cytopathology, Japanese Journal of Clinical Oncology, Annals of Oncology and British Journal of Cancer.
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.