Takeshi Asakura
- Molecular Biology
- Cell Biology top 5%
- Surgery
- Hepatology top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Yoshimi TakaiTakuya SasakiYoshiharu MatsuuraToshiaki SakisakaHideo NishiokaHiroshi ImamuraAkira MizoguchiTakeshi Ohya
- Topics
- Pancreatic and Hepatic Oncology Research (6 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers)Organ Transplantation Techniques and Outcomes (6 papers)
- Cited by
- Cell BiologyHepatologyPhysiology
- Journals
- Journal of Biological ChemistryNeuronSHILAP Revista de lepidopterología
- Partner nations
- JapanGreeceUnited States
In The Last Decade
Takeshi Asakura
36 papers receiving 905 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 466
- Cell Biology 372
- Surgery 229
- Hepatology 152
- Cellular and Molecular Neuroscience 138
Countries citing papers authored by Takeshi Asakura
This map shows the geographic impact of Takeshi Asakura'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 Takeshi Asakura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Asakura more than expected).
Fields of papers citing papers by Takeshi Asakura
This network shows the impact of papers produced by Takeshi Asakura. 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 Takeshi Asakura. The network helps show where Takeshi Asakura may publish in the future.
Co-authorship network of co-authors of Takeshi Asakura
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Asakura. A scholar is included among the top collaborators of Takeshi Asakura 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 Takeshi Asakura. Takeshi Asakura 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 | 22 | |
| 4 | Preoperative diagnosis of macroscopic type of hepatocellular carcinoma by multi-detector-row computed tomography is useful for prediction of the occurrence of pathological progression factors in the tumor | 1 |
| 5 | 1 | |
| 6 | Usefulness of serum procalcitonin (PCT) measurement for predicting early infectious complications after pancreatoduodenectomy (PD) | 1 |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 7 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 85 | |
| 17 | 35 | |
| 18 | 119 | |
| 19 | 93 | |
| 20 | 5 |
About Takeshi Asakura
Takeshi Asakura is a scholar working on Hepatology, Surgery and Gastroenterology, having authored 44 papers that have together received 921 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers) and Organ Transplantation Techniques and Outcomes (6 papers). The work is most often cited by research in Cell Biology (372 citations), Hepatology (152 citations) and Physiology (35 citations). Takeshi Asakura has collaborated with scholars based in Japan, Greece and United States. Frequent co-authors include Yoshimi Takai, Takuya Sasaki, Yoshiharu Matsuura, Toshiaki Sakisaka, Hideo Nishioka, Hiroshi Imamura, Akira Mizoguchi, Takeshi Ohya, Susumu Satomi and Hiromichi Shirataki. Their work appears in journals such as Journal of Biological Chemistry, Neuron and SHILAP Revista de lepidopterología.
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.