Takayuki Nojima
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Rheumatology top 1%
- Cancer Research top 2%
- Oncology top 5%
- Co-authors
- Nicholas ProudfootMaria Carmo‐FonsecaTomás GomesMasatoshi HagiwaraSomdutta DhirHiroshi KimurâAshish DhirAna Rita Grosso
- Topics
- Sarcoma Diagnosis and Treatment (67 papers)Bone Tumor Diagnosis and Treatments (34 papers)RNA Research and Splicing (28 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Takayuki Nojima
167 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 3.1k
- Pulmonary and Respiratory Medicine 1.4k
- Rheumatology 881
- Cancer Research 843
- Oncology 633
Countries citing papers authored by Takayuki Nojima
This map shows the geographic impact of Takayuki Nojima'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 Takayuki Nojima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayuki Nojima more than expected).
Fields of papers citing papers by Takayuki Nojima
This network shows the impact of papers produced by Takayuki Nojima. 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 Takayuki Nojima. The network helps show where Takayuki Nojima may publish in the future.
Co-authorship network of co-authors of Takayuki Nojima
This figure shows the co-authorship network connecting the top 25 collaborators of Takayuki Nojima. A scholar is included among the top collaborators of Takayuki Nojima 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 Takayuki Nojima. Takayuki Nojima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 25 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 58 | |
| 15 | 0 | |
| 16 | Synovial sarcoma in knee joint, mimicking low-grade sarcoma confirmed by molecular detection of SYT gene split. | 5 |
| 17 | 102 | |
| 18 | 35 | |
| 19 | Interphase fluorescence in situ hybridization and reverse transcription polymerase chain reaction as a diagnostic aid for synovial sarcoma. | 78 |
| 20 | 4 |
About Takayuki Nojima
Takayuki Nojima is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine and Oral Surgery, having authored 176 papers that have together received 5.3k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (67 papers), Bone Tumor Diagnosis and Treatments (34 papers) and RNA Research and Splicing (28 papers). The work is most often cited by research in Rheumatology (881 citations), Cancer Research (843 citations) and Molecular Biology (3.1k citations). Takayuki Nojima has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Nicholas Proudfoot, Maria Carmo‐Fonseca, Tomás Gomes, Masatoshi Hagiwara, Somdutta Dhir, Hiroshi Kimurâ, Ashish Dhir, Ana Rita Grosso, Michael J. Dye and Syuiti Abe. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.