Takahiro Ito
- Surgery top 10%
- Molecular Biology
- Nephrology top 2%
- Oncology top 10%
- Hepatology top 5%
- Co-authors
- Jerzy W. Kupiec‐WeglinskiFady M. KaldasHirofumi HiraoRonald W. BusuttilMasahiro NagayaKentaro KadonoMunro PeacockErik A. Imel
- Topics
- Pancreatic and Hepatic Oncology Research (29 papers)Liver Disease and Transplantation (18 papers)Organ Transplantation Techniques and Outcomes (16 papers)
- Cited by
- NephrologyHepatologyTransplantation
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Takahiro Ito
81 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Surgery 437
- Molecular Biology 366
- Nephrology 331
- Oncology 275
- Hepatology 219
Countries citing papers authored by Takahiro Ito
This map shows the geographic impact of Takahiro Ito'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 Takahiro Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahiro Ito more than expected).
Fields of papers citing papers by Takahiro Ito
This network shows the impact of papers produced by Takahiro Ito. 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 Takahiro Ito. The network helps show where Takahiro Ito may publish in the future.
Co-authorship network of co-authors of Takahiro Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Takahiro Ito. A scholar is included among the top collaborators of Takahiro Ito 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 Takahiro Ito. Takahiro Ito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | 51 | |
| 17 | 41 | |
| 18 | 69 | |
| 19 | Pharmacokinetics and pharmacodynamics of a human monoclonal anti‐FGF23 antibody (KRN23) in the first multiple ascending‐dose trial treating adults with X‐linked hypophosphatemia | 1 |
| 20 | Partial splenic embolization decreases the serum bilirubin level in patients with hypersplenism following the Kasai procedure for biliary atresia. | 7 |
About Takahiro Ito
Takahiro Ito is a scholar working on Hepatology, Oncology and Surgery, having authored 94 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (29 papers), Liver Disease and Transplantation (18 papers) and Organ Transplantation Techniques and Outcomes (16 papers). The work is most often cited by research in Nephrology (331 citations), Hepatology (219 citations) and Transplantation (39 citations). Takahiro Ito has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Jerzy W. Kupiec‐Weglinski, Fady M. Kaldas, Hirofumi Hirao, Ronald W. Busuttil, Masahiro Nagaya, Kentaro Kadono, Munro Peacock, Erik A. Imel, Thomas J. Weber and Jeffrey S. Humphrey. Their work appears in journals such as Journal of Clinical Investigation, Gastroenterology and PLoS ONE.
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.