Toshio Nikaido
Impact in
- Rheumatology top 0.2%
- IgG4-Related and Inflammatory Diseases
- Obstetrics and Gynecology top 0.5%
Papers in
- Surgery 31
- Tissue Engineering and Regenerative Medicine 18
- Co-authors
- Ikuo Konishi (33 shared papers)Shigeyuki Kawa (7 shared papers)Kohzo Nakayama (4 shared papers)Kendo Kiyosawa (4 shared papers)Hiroshi Unno (2 shared papers)Nobuteru Usuda (2 shared papers)Motonori Okabe (31 shared papers)Naoyuki Furuya (1 shared paper)
- Journals
- Cancer (11 papers)International Journal of Gynecological Pathology (7 papers)Cellular Reprogramming (5 papers)Cell Transplantation (4 papers)Tissue Engineering (3 papers)
- Partner nations
- JapanEgyptUnited States
In The Last Decade
Toshio Nikaido
132 papers receiving 8.4k citations
Toshio Nikaido's Hit Papers
Peers
Comparison fields: 5 of 134
- Rheumatology 2.0k
- Obstetrics and Gynecology 934
- Genetics 842
- Immunology 1.4k
- Reproductive Medicine 514
Countries citing papers authored by Toshio Nikaido
This map shows the geographic impact of Toshio Nikaido'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 Toshio Nikaido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshio Nikaido more than expected).
Fields of papers citing papers by Toshio Nikaido
This network shows the impact of papers produced by Toshio Nikaido. 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 Toshio Nikaido. The network helps show where Toshio Nikaido may publish in the future.
Co-authors
The 25 scholars most cited alongside Toshio Nikaido, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | High Serum IgG4 Concentrations in Patients with Sclerosing Pancreatitis Hit paper breakdown → | 2001 | 1945 |
| 2 | Molecular cloning of cDNA encoding human interleukin-2 receptor Hit paper breakdown → | 1984 | 478 |
| 3 | 1999 | 364 | |
| 4 | 2003 | 307 | |
| 5 | 2007 | 286 | |
| 6 | 1982 | 197 | |
| 7 | 2003 | 194 | |
| 8 | 2004 | 176 | |
| 9 | 2013 | 172 | |
| 10 | 2005 | 168 | |
| 11 | 1981 | 147 | |
| 12 | 2003 | 134 | |
| 13 | 2013 | 126 | |
| 14 | 1999 | 117 | |
| 15 | 2009 | 105 | |
| 16 | 2009 | 103 | |
| 17 | 2004 | 99 | |
| 18 | 2004 | 94 | |
| 19 | 1994 | 89 | |
| 20 | 1985 | 85 |
About Toshio Nikaido
Toshio Nikaido is a scholar working on Molecular Biology, Surgery, Oncology, Immunology and Genetics, having authored 132 papers that have together received 8.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (24 papers), Tissue Engineering and Regenerative Medicine (18 papers), Mesenchymal stem cell research (17 papers), Corneal Surgery and Treatments (16 papers), Endometrial and Cervical Cancer Treatments (9 papers), Cancer Cells and Metastasis (9 papers), 3D Printing in Biomedical Research (8 papers) and Reproductive System and Pregnancy (8 papers). The work is most often cited by research in Rheumatology (2.0k citations), Obstetrics and Gynecology (934 citations), Genetics (842 citations), Immunology (1.4k citations) and Reproductive Medicine (514 citations). Toshio Nikaido has collaborated with scholars based in Japan, Egypt and United States. Frequent co-authors include Ikuo Konishi, Shigeyuki Kawa, Kohzo Nakayama, Kendo Kiyosawa, Hiroshi Unno, Nobuteru Usuda, Motonori Okabe, Naoyuki Furuya, Taiji Akamatsu and Hideaki Hamano. Their work appears in journals such as Cancer, International Journal of Gynecological Pathology, Cellular Reprogramming, Cell Transplantation and Tissue Engineering.
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.