Takeshi Kashima
- Molecular Biology top 10%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 5%
- Co-authors
- Masashi FukayamaAkira KudōIsao KiiTakashi NishiyamaAkiko KunitaMasashi ShimazakiYoshinao KikuchiAgamemnon E. Grigoriadis
- Topics
- Bone Tumor Diagnosis and Treatments (14 papers)Sarcoma Diagnosis and Treatment (10 papers)Bone health and treatments (9 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineThe Journal of Cell Biology
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Takeshi Kashima
66 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 883
- Oncology 841
- Pulmonary and Respiratory Medicine 546
- Cardiology and Cardiovascular Medicine 504
- Epidemiology 487
Countries citing papers authored by Takeshi Kashima
This map shows the geographic impact of Takeshi Kashima'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 Kashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Kashima more than expected).
Fields of papers citing papers by Takeshi Kashima
This network shows the impact of papers produced by Takeshi Kashima. 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 Kashima. The network helps show where Takeshi Kashima may publish in the future.
Co-authorship network of co-authors of Takeshi Kashima
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Kashima. A scholar is included among the top collaborators of Takeshi Kashima 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 Kashima. Takeshi Kashima 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 | 3 | |
| 3 | 8 | |
| 4 | 12 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 90 | |
| 8 | 19 | |
| 9 | 69 | |
| 10 | 388 | |
| 11 | 166 | |
| 12 | 56 | |
| 13 | 7 | |
| 14 | 104 | |
| 15 | 1 | |
| 16 | A possible functional role of cadherins to prevent osteosarcoma metastasis | 1 |
| 17 | 15 | |
| 18 | 2 | |
| 19 | 67 | |
| 20 | 2 |
About Takeshi Kashima
Takeshi Kashima is a scholar working on Microbiology, Rheumatology and Oral Surgery, having authored 71 papers that have together received 2.7k indexed citations. Recurring topics across this work include Bone Tumor Diagnosis and Treatments (14 papers), Sarcoma Diagnosis and Treatment (10 papers) and Bone health and treatments (9 papers). The work is most often cited by research in Oncology (841 citations), Rheumatology (361 citations) and Infectious Diseases (414 citations). Takeshi Kashima has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Masashi Fukayama, Akira Kudō, Isao Kii, Takashi Nishiyama, Akiko Kunita, Masashi Shimazaki, Yoshinao Kikuchi, Agamemnon E. Grigoriadis, Yasuyuki Morishita and Utako Machida. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.
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.