Go J. Yoshida
- Molecular Biology top 5%
- Cancer Research top 2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Immunology top 10%
- Co-authors
- Hideyuki SayaTakeshi MotoharaAkira OrimoArata AzumaYukiko MiuraMitsuyo OhmuraMakoto SuematsuKazuhisa Takahashi
- Topics
- Cancer Cells and Metastasis (10 papers)Cancer, Hypoxia, and Metabolism (5 papers)Epigenetics and DNA Methylation (4 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Go J. Yoshida
25 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.5k
- Cancer Research 949
- Oncology 931
- Pulmonary and Respiratory Medicine 313
- Immunology 248
Countries citing papers authored by Go J. Yoshida
This map shows the geographic impact of Go J. Yoshida'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 Go J. Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Go J. Yoshida more than expected).
Fields of papers citing papers by Go J. Yoshida
This network shows the impact of papers produced by Go J. Yoshida. 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 Go J. Yoshida. The network helps show where Go J. Yoshida may publish in the future.
Co-authorship network of co-authors of Go J. Yoshida
This figure shows the co-authorship network connecting the top 25 collaborators of Go J. Yoshida. A scholar is included among the top collaborators of Go J. Yoshida 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 Go J. Yoshida. Go J. Yoshida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 39 | |
| 3 | 220 | |
| 4 | Applications of patient-derived tumor xenograft models and tumor organoidsbreakdown → | 315 |
| 5 | 21 | |
| 6 | 31 | |
| 7 | 100 | |
| 8 | 190 | |
| 9 | 192 | |
| 10 | 30 | |
| 11 | 30 | |
| 12 | Metabolic reprogramming: the emerging concept and associated therapeutic strategiesbreakdown → | 530 |
| 13 | 27 | |
| 14 | 115 | |
| 15 | 33 | |
| 16 | 26 | |
| 17 | 60 | |
| 18 | 311 | |
| 19 | 19 | |
| 20 | [Encounter of cancer cells with bone. The significance of cancer stem cells and epithelial-mesenchymal transition in tumor invasion and metastasis]. | 1 |
About Go J. Yoshida
Go J. Yoshida is a scholar working on Structural Biology, Oncology and Biotechnology, having authored 25 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (949 citations), Oncology (931 citations) and Molecular Biology (1.5k citations). Go J. Yoshida has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Hideyuki Saya, Takeshi Motohara, Akira Orimo, Arata Azuma, Yukiko Miura, Mitsuyo Ohmura, Makoto Suematsu, Kazuhisa Takahashi, Takashi Masuko and Momoko Yoshikawa. Their work appears in journals such as Nature Communications, Oncogene and Scientific Reports.
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.