Rinpei Niwa
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Molecular Biology top 5%
- Immunology top 5%
- Oncology top 10%
- Biotechnology top 2%
- Co-authors
- Kenya ShitaraMitsuo SatohKazuhisa UchidaAkito NatsumeMasako WakitaniShigeru IidaKazuyasu NakamuraNaoko Yamane‐Ohnuki
- Topics
- Monoclonal and Polyclonal Antibodies Research (22 papers)Glycosylation and Glycoproteins Research (15 papers)Viral Infectious Diseases and Gene Expression in Insects (5 papers)
In The Last Decade
Rinpei Niwa
22 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 1.7k
- Molecular Biology 1.6k
- Immunology 864
- Oncology 418
- Biotechnology 217
Countries citing papers authored by Rinpei Niwa
This map shows the geographic impact of Rinpei Niwa'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 Rinpei Niwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rinpei Niwa more than expected).
Fields of papers citing papers by Rinpei Niwa
This network shows the impact of papers produced by Rinpei Niwa. 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 Rinpei Niwa. The network helps show where Rinpei Niwa may publish in the future.
Co-authorship network of co-authors of Rinpei Niwa
This figure shows the co-authorship network connecting the top 25 collaborators of Rinpei Niwa. A scholar is included among the top collaborators of Rinpei Niwa 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 Rinpei Niwa. Rinpei Niwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 46 | |
| 4 | The therapeutic potential of a novel PSMA antibody and its IL-2 conjugate in prostate cancer. | 22 |
| 5 | 41 | |
| 6 | Novel anti-Tn single-chain Fv-Fc fusion proteins derived from immunized phage library and antibody Fc domain. | 18 |
| 7 | 117 | |
| 8 | 34 | |
| 9 | 13 | |
| 10 | 148 | |
| 11 | 80 | |
| 12 | 91 | |
| 13 | 29 | |
| 14 | 28 | |
| 15 | 187 | |
| 16 | 49 | |
| 17 | 148 | |
| 18 | 424 | |
| 19 | 132 | |
| 20 | 267 |
About Rinpei Niwa
Rinpei Niwa is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Immunology and Allergy, having authored 22 papers that have together received 2.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (22 papers), Glycosylation and Glycoproteins Research (15 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.7k citations), Immunology (864 citations) and Biotechnology (217 citations). Rinpei Niwa has collaborated with scholars based in Japan and Singapore. Frequent co-authors include Kenya Shitara, Mitsuo Satoh, Kazuhisa Uchida, Akito Natsume, Masako Wakitani, Shigeru Iida, Kazuyasu Nakamura, Naoko Yamane‐Ohnuki, Ryuzo Ueda and Nobuo Hanai. Their work appears in journals such as Cancer Research, Clinical Cancer Research and Journal of Pharmaceutical 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.