Seiichi Furuta
- Hepatology top 0.5%
- Epidemiology top 1%
- Rheumatology top 5%
- Surgery
- Oncology
- Co-authors
- Kendo KiyosawaTakeshi SodeyamaYoshiyuki NakanoKusuya NishiokaEiji TanakaHarvey J. AlterRobert H. PurcellYoshihiro Akahane
- Topics
- Hepatitis B Virus Studies (40 papers)Liver Disease Diagnosis and Treatment (38 papers)Hepatitis C virus research (33 papers)
- Cited by
- HepatologyEpidemiologyRheumatology
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Seiichi Furuta
127 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Hepatology 2.0k
- Epidemiology 1.9k
- Rheumatology 248
- Surgery 229
- Oncology 201
Countries citing papers authored by Seiichi Furuta
This map shows the geographic impact of Seiichi Furuta'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 Seiichi Furuta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiichi Furuta more than expected).
Fields of papers citing papers by Seiichi Furuta
This network shows the impact of papers produced by Seiichi Furuta. 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 Seiichi Furuta. The network helps show where Seiichi Furuta may publish in the future.
Co-authorship network of co-authors of Seiichi Furuta
This figure shows the co-authorship network connecting the top 25 collaborators of Seiichi Furuta. A scholar is included among the top collaborators of Seiichi Furuta 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 Seiichi Furuta. Seiichi Furuta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | Prevalence of anti-HCV in patients on long-term hemodialysis. | 8 |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | Evaluation of Urinary C-peptide Clearance/Creatinine Clearance Ratio and its Use in Correction of 24-hour Urinary C-peptide Excretion in Patients with Diabetes Mellitus | 2 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | The effect of phenobarbital on bile acids and bilirubin in two patients with prolonged severe intrahepatic cholestasis | 1 |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 2 |
About Seiichi Furuta
Seiichi Furuta is a scholar working on Hepatology, Epidemiology and Gastroenterology, having authored 135 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (40 papers), Liver Disease Diagnosis and Treatment (38 papers) and Hepatitis C virus research (33 papers). The work is most often cited by research in Hepatology (2.0k citations), Epidemiology (1.9k citations) and Rheumatology (248 citations). Seiichi Furuta has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Kendo Kiyosawa, Takeshi Sodeyama, Yoshiyuki Nakano, Kusuya Nishioka, Eiji Tanaka, Harvey J. Alter, Robert H. Purcell, Yoshihiro Akahane, Kaname Yoshizawa and Yukio Gibo. Their work appears in journals such as New England Journal of Medicine, The Lancet and Annals of Internal Medicine.
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.