Gaku Kigawa
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 5
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research 7
- Colorectal Cancer Screening and Detection 4
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- Genetic factors in colorectal cancer 14
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 16
- Cancer-related gene regulation 15
- Hepatology top 10%
- Liver Disease and Transplantation 4
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- Organ Transplantation Techniques and Outcomes 4
In The Last Decade
Gaku Kigawa
61 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 70
- Cancer Research 276
- Oncology 421
- Pathology and Forensic Medicine 234
- Molecular Biology 794
- Hepatology 86
Countries citing papers authored by Gaku Kigawa
This map shows the geographic impact of Gaku Kigawa'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 Gaku Kigawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaku Kigawa more than expected).
Fields of papers citing papers by Gaku Kigawa
This network shows the impact of papers produced by Gaku Kigawa. 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 Gaku Kigawa. The network helps show where Gaku Kigawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gaku Kigawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 12 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 7 | |
| 6 | 2014 | 8 | |
| 7 | Methylation of the DFNA5 gene is frequently detected in colorectal cancer. | 2012 | 51 |
| 8 | Methylation of TFPI2 no longer detected in the serum DNA of colorectal cancer patients after curative surgery. | 2012 | 8 |
| 9 | FBN2 methylation is detected in the serum of colorectal cancer patients with hepatic metastasis. | 2012 | 26 |
| 10 | 2012 | 19 | |
| 11 | [Significance of Onodera's prognostic nutritional index for treating unresectable or recurrent colorectal cancer with chemotherapy]. | 2012 | 10 |
| 12 | 2011 | 65 | |
| 13 | 2010 | 4 | |
| 14 | 2010 | 25 | |
| 15 | Detection of vimentin (VIM) methylation in the serum of colorectal cancer patients. | 2010 | 21 |
| 16 | 2008 | 1 | |
| 17 | 2005 | 1 | |
| 18 | 1998 | 11 | |
| 19 | 1998 | 16 | |
| 20 | 1997 | 0 |
About Gaku Kigawa
Gaku Kigawa is a scholar working on Hepatology, Pathology and Forensic Medicine and Oncology, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), Cancer-related gene regulation (15 papers), Genetic factors in colorectal cancer (14 papers), Pancreatic and Hepatic Oncology Research (7 papers), Cancer Genomics and Diagnostics (5 papers), Colorectal Cancer Screening and Detection (4 papers), Liver Disease and Transplantation (4 papers) and Organ Transplantation Techniques and Outcomes (4 papers). The work is most often cited by research in Cancer Research (276 citations), Oncology (421 citations) and Pathology and Forensic Medicine (234 citations). Gaku Kigawa has collaborated with scholars based in Japan, China and France. Frequent co-authors include Hiroshi Nemoto, Kenji Hibi, Mariko Saito, Tetsuhiro Goto, Yutaka Sanada, Atsushi Shirahata, Kazuyoshi Ishibashi, Hiroki Mizukami, Kazuma Sakuraba and Yohei Kitamura.
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.