Saiho Ko

1.6k citations
68 papers · 1.3k indexed · h-index 19

Impact in

Papers in

    • Liver Disease and Transplantation 15
    • Hepatocellular Carcinoma Treatment and Prognosis 15
    • Renal Transplantation Outcomes and Treatments 6

Saiho Ko

56 papers receiving 1.2k citations

Peers

Saiho Ko
Comparison fields: 5 of 76
  • Hepatology 472
  • Transplantation 113
  • Immunology 294
  • Surgery 561
  • Hematology 105
Replace Douglas Quan with:
Douglas Quan Canada
Takeshi Nagao Japan
Tobias J. Weismüller Germany
Timuçin Taner United States
Ming‐Sing Si United States
Eléonora De Martin France
Kun‐Ming Chan Taiwan
Pamela Kimball United States
Kenji Kuwaki Japan
Masaru Inagaki Japan
Saiho Ko relative to Douglas Quan Canada Douglas Quan's profile →
Citations per field
00.5×1.5×2.3×
Douglas Quan · 1×
Citations per year

Countries citing papers authored by Saiho Ko

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Saiho Ko Line = papers co-authored together Saiho Ko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20184
2 20166
3 20130
4 20073
5 200662
6 20042
7 200372
8
Clinical predictors of recurrence site after hepatectomy for metastatic colorectal cancer.
200223
9 20021
10 20020
11 20021
12
PROGNOSTIC SIGNIFICANCE OF p21 AND p53 EXPRESSION IN HEPATOCELLULAR CARCINOMA
20011
13 200173
14 20014
15 19983
16 19972
17 199613
18 1996126
19 19943
20 199314

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.

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