Makio Kawakami
- Co-authors
- Masaaki NakayamaShuichi FujiokaKazuhiko YoshidaYoji YamazakiMasayuki SarutaSatoru YanagisawaHironobu SasanoAkira Torii
- Topics
- MRI in cancer diagnosis (4 papers)Peptidase Inhibition and Analysis (4 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismCancer
- Partner nations
- JapanPakistanUnited States
In The Last Decade
Makio Kawakami
46 papers receiving 760 citations
Peers
Comparison fields: 5 of 78
- Surgery 216
- Molecular Biology 212
- Oncology 212
- Pulmonary and Respiratory Medicine 122
- Nephrology 112
Countries citing papers authored by Makio Kawakami
This map shows the geographic impact of Makio Kawakami'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 Makio Kawakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makio Kawakami more than expected).
Fields of papers citing papers by Makio Kawakami
This network shows the impact of papers produced by Makio Kawakami. 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 Makio Kawakami. The network helps show where Makio Kawakami may publish in the future.
Co-authorship network of co-authors of Makio Kawakami
This figure shows the co-authorship network connecting the top 25 collaborators of Makio Kawakami. A scholar is included among the top collaborators of Makio Kawakami 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 Makio Kawakami. Makio Kawakami 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 | 7 | |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 11 | |
| 11 | 34 | |
| 12 | Unsuccessful Reperfusion Due to No-reflow Phenomenon in Acute Inferior Myocardial Infarction : A Case Report with Postmortem Examination | 1 |
| 13 | 5 | |
| 14 | 25 | |
| 15 | Diagnosis of breast cancer extent using 3D-dynamic MR imaging with a volumetric interpolated examination | 5 |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | 3 |
About Makio Kawakami
Makio Kawakami is a scholar working on Behavioral Neuroscience, Internal Medicine and Nephrology, having authored 48 papers that have together received 784 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (4 papers), Peptidase Inhibition and Analysis (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Behavioral Neuroscience (74 citations), Nephrology (112 citations) and Oncology (212 citations). Makio Kawakami has collaborated with scholars based in Japan, Pakistan and United States. Frequent co-authors include Masaaki Nakayama, Shuichi Fujioka, Kazuhiko Yoshida, Yoji Yamazaki, Masayuki Saruta, Satoru Yanagisawa, Hironobu Sasano, Akira Torii, Takashi Suzuki and Kazuhiro Takahashi. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Cancer.
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.