Saiho Ko
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Transplantation top 5%
Papers in
- Hepatology 27
- Liver Disease and Transplantation 15
- Hepatocellular Carcinoma Treatment and Prognosis 15
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- Renal Transplantation Outcomes and Treatments 6
- Co-authors
- Yoshiyuki NakajimaHiromichi KanehiroYukio AomatsuMichiyoshi HisanagaHiroshige NakanoMitsuo NagaoTatsuya KinKazuo Ohashi
- Journals
- Transplantation (7 papers)World Journal of Surgery (6 papers)Journal of Surgical Research (4 papers)Surgery Today (4 papers)Surgery (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Saiho Ko
56 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Hepatology 472
- Transplantation 113
- Immunology 294
- Surgery 561
- Hematology 105
Countries citing papers authored by Saiho Ko
This map shows the geographic impact of Saiho Ko'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 Saiho Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saiho Ko more than expected).
Fields of papers citing papers by Saiho Ko
This network shows the impact of papers produced by Saiho Ko. 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 Saiho Ko. The network helps show where Saiho Ko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saiho Ko, 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 | 2018 | 4 | |
| 2 | 2016 | 6 | |
| 3 | 2013 | 0 | |
| 4 | 2007 | 3 | |
| 5 | 2006 | 62 | |
| 6 | 2004 | 2 | |
| 7 | 2003 | 72 | |
| 8 | Clinical predictors of recurrence site after hepatectomy for metastatic colorectal cancer. | 2002 | 23 |
| 9 | 2002 | 1 | |
| 10 | 2002 | 0 | |
| 11 | 2002 | 1 | |
| 12 | PROGNOSTIC SIGNIFICANCE OF p21 AND p53 EXPRESSION IN HEPATOCELLULAR CARCINOMA | 2001 | 1 |
| 13 | 2001 | 73 | |
| 14 | 2001 | 4 | |
| 15 | 1998 | 3 | |
| 16 | 1997 | 2 | |
| 17 | 1996 | 13 | |
| 18 | 1996 | 126 | |
| 19 | 1994 | 3 | |
| 20 | 1993 | 14 |
About Saiho Ko
Saiho Ko is a scholar working on Hepatology, Transplantation, Gastroenterology, Surgery and Immunology, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (15 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Organ Transplantation Techniques and Outcomes (11 papers), Liver Disease Diagnosis and Treatment (9 papers), Renal Transplantation Outcomes and Treatments (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Complement system in diseases (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Hepatology (472 citations), Transplantation (113 citations), Immunology (294 citations), Surgery (561 citations) and Hematology (105 citations). Saiho Ko has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yoshiyuki Nakajima, Hiromichi Kanehiro, Yukio Aomatsu, Michiyoshi Hisanaga, Hiroshige Nakano, Mitsuo Nagao, Tatsuya Kin, Kazuo Ohashi, Naoya Ikeda and Takatsugu Yamada. Their work appears in journals such as Transplantation, World Journal of Surgery, Journal of Surgical Research, Surgery Today and Surgery.
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.