Toshihiro Gi
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
- Co-authors
- Yujiro Asada (16 shared papers)Atsushi Yamashita (17 shared papers)Kazunari Maekawa (13 shared papers)Sayaka Moriguchi‐Goto (7 shared papers)Yuichiro Sato (12 shared papers)Eiji Furukoji (5 shared papers)Toshinori Hirai (2 shared papers)Chihiro Sugita (3 shared papers)
- Journals
- Thrombosis Research (3 papers)Thrombosis and Haemostasis (2 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (2 papers)Circulation Cardiovascular Imaging (1 paper)Diagnostic Cytopathology (1 paper)
- Partner nations
- JapanUnited StatesNew Zealand
In The Last Decade
Toshihiro Gi
25 papers receiving 233 citations
Peers
Comparison fields: 5 of 45
- Internal Medicine 43
- Cardiology and Cardiovascular Medicine 50
- Gastroenterology 11
- Hematology 20
- Oncology 38
Countries citing papers authored by Toshihiro Gi
This map shows the geographic impact of Toshihiro Gi'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 Toshihiro Gi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshihiro Gi more than expected).
Fields of papers citing papers by Toshihiro Gi
This network shows the impact of papers produced by Toshihiro Gi. 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 Toshihiro Gi. The network helps show where Toshihiro Gi may publish in the future.
Co-authors
The 25 scholars most cited alongside Toshihiro Gi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 31 | |
| 2 | 2016 | 27 | |
| 3 | 2017 | 26 | |
| 4 | 2020 | 25 | |
| 5 | 2022 | 17 | |
| 6 | 2016 | 17 | |
| 7 | 2019 | 16 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 7 | |
| 12 | 2016 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2025 | 2 |
About Toshihiro Gi
Toshihiro Gi is a scholar working on Surgery, Genetics, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 31 papers that have together received 241 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (4 papers), Coronary Interventions and Diagnostics (3 papers), Pregnancy and preeclampsia studies (2 papers), Blood properties and coagulation (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Maternal and fetal healthcare (2 papers), Glioma Diagnosis and Treatment (2 papers) and Cardiovascular Issues in Pregnancy (1 paper). The work is most often cited by research in Internal Medicine (43 citations), Cardiology and Cardiovascular Medicine (50 citations), Gastroenterology (11 citations), Hematology (20 citations) and Oncology (38 citations). Toshihiro Gi has collaborated with scholars based in Japan, United States and New Zealand. Frequent co-authors include Yujiro Asada, Atsushi Yamashita, Kazunari Maekawa, Sayaka Moriguchi‐Goto, Yuichiro Sato, Eiji Furukoji, Toshinori Hirai, Chihiro Sugita, Yoshinao Oda and Minako Hirahashi. Their work appears in journals such as Thrombosis Research, Thrombosis and Haemostasis, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Circulation Cardiovascular Imaging and Diagnostic Cytopathology.
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.