K Takenaka
- Surgery top 2%
- Oncology top 2%
- Hepatology top 0.5%
- Epidemiology top 5%
- Genetics top 2%
- Co-authors
- K SugimachiMitsuo ShimadaKen ShirabeKatsuhiko YanagaTomonobu GionKiyoshi KajiyamaKazuo OhtsukaMamoru Watanabe
- Topics
- Inflammatory Bowel Disease (39 papers)Hepatocellular Carcinoma Treatment and Prognosis (19 papers)Microscopic Colitis (16 papers)
- Cited by
- HepatologyHematologyOncology
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaBlood
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
K Takenaka
124 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 109
- Surgery 1.4k
- Oncology 1.2k
- Hepatology 1.1k
- Epidemiology 950
- Genetics 799
Countries citing papers authored by K Takenaka
This map shows the geographic impact of K Takenaka'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 K Takenaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Takenaka more than expected).
Fields of papers citing papers by K Takenaka
This network shows the impact of papers produced by K Takenaka. 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 K Takenaka. The network helps show where K Takenaka may publish in the future.
Co-authorship network of co-authors of K Takenaka
This figure shows the co-authorship network connecting the top 25 collaborators of K Takenaka. A scholar is included among the top collaborators of K Takenaka 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 K Takenaka. K Takenaka 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 12 | |
| 9 | 14 | |
| 10 | 18 | |
| 11 | 19 | |
| 12 | 0 | |
| 13 | 9 | |
| 14 | 13 | |
| 15 | Investigation of optimum culture condition for hybrid artificial liver module using PUF/porcine hepatocyte spheroid culture | 3 |
| 16 | Application of hybrid artificial liver using PUF/hepatocytes-spheroid packed-bed module to warm ischemic liver failure dog. | 3 |
| 17 | Diagnosis of hepatic angiomyolipomas; Comparison of US, CT and MR imaging | 0 |
| 18 | 32 | |
| 19 | Alteration in levels of human hepatocyte growth factor following hepatectomy. | 24 |
| 20 | Therapeutic effect of ofloxacin on intractable pulmonary tuberculosis and ofloxacin resistance of tubercle bacilli isolated from the patients | 5 |
About K Takenaka
K Takenaka is a scholar working on Hepatology, Gastroenterology and Genetics, having authored 135 papers that have together received 3.9k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (39 papers), Hepatocellular Carcinoma Treatment and Prognosis (19 papers) and Microscopic Colitis (16 papers). The work is most often cited by research in Hepatology (1.1k citations), Hematology (648 citations) and Oncology (1.2k citations). K Takenaka has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include K Sugimachi, Mitsuo Shimada, Ken Shirabe, Katsuhiko Yanaga, Tomonobu Gion, Kiyoshi Kajiyama, Kazuo Ohtsuka, Mamoru Watanabe, Toshimitsu Fujii and Masakazu Nagahori. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.
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.