Yusaku Mita
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Telomeres, Telomerase, and Senescence 7
-
- RNA modifications and cancer 2
- DNA Repair Mechanisms 1
- Epigenetics and DNA Methylation 1
- Co-authors
- Takeshi Suda (8 shared papers)Hirokazu Kawai (8 shared papers)Masato Igarashi (7 shared papers)Nobuo Waguri (7 shared papers)Takashi Kuroiwa (5 shared papers)Minoru Nomoto (4 shared papers)Yutaka Aoyagi (5 shared papers)Akira Murasawa (2 shared papers)
- Journals
- Hepatology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Tetsu-to-Hagane (1 paper)ISIJ International (1 paper)Cancer (1 paper)
- Partner nations
- Japan
In The Last Decade
Yusaku Mita
11 papers receiving 284 citations
Peers
Comparison fields: 5 of 51
- Hepatology 88
- Aging 10
- Epidemiology 101
- Physiology 65
- Oncology 65
Countries citing papers authored by Yusaku Mita
This map shows the geographic impact of Yusaku Mita'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 Yusaku Mita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusaku Mita more than expected).
Fields of papers citing papers by Yusaku Mita
This network shows the impact of papers produced by Yusaku Mita. 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 Yusaku Mita. The network helps show where Yusaku Mita may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusaku Mita, 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 | 2001 | 80 | |
| 2 | 2000 | 55 | |
| 3 | Diagnosis of pancreatic adenocarcinoma by detection of human telomerase reverse transcriptase messenger RNA in pancreatic juice with sample qualification. | 2001 | 41 |
| 4 | 1999 | 34 | |
| 5 | Sensitive and specific detection of circulating cancer cells in patients with hepatocellular carcinoma; detection of human telomerase reverse transcriptase messenger RNA after immunomagnetic separation. | 2003 | 34 |
| 6 | 2003 | 25 | |
| 7 | 2002 | 10 | |
| 8 | 2004 | 4 | |
| 9 | Interferon can block telomere erosion and in rare cases result in hepatocellular carcinoma development with telomeric repeat binding factor 1 overexpression in chronic hepatitis C. | 2003 | 4 |
| 10 | 2024 | 3 | |
| 11 | 2001 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 |
About Yusaku Mita
Yusaku Mita is a scholar working on Physiology, Molecular Biology, Epidemiology, Hepatology and Pathology and Forensic Medicine, having authored 13 papers that have together received 294 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (7 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), RNA modifications and cancer (2 papers), DNA Repair Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper) and Hepatitis Viruses Studies and Epidemiology (1 paper). The work is most often cited by research in Hepatology (88 citations), Aging (10 citations), Epidemiology (101 citations), Physiology (65 citations) and Oncology (65 citations). Yusaku Mita has collaborated with scholars based in Japan. Frequent co-authors include Takeshi Suda, Hirokazu Kawai, Masato Igarashi, Nobuo Waguri, Takashi Kuroiwa, Minoru Nomoto, Yutaka Aoyagi, Akira Murasawa, Kiyoshi Nakazono and Masatoshi Kikuchi. Their work appears in journals such as Hepatology, Biochemical and Biophysical Research Communications, Tetsu-to-Hagane, ISIJ International and 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.