Jun Ninomiya
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
-
- Breast Lesions and Carcinomas
Papers in
-
- Breast Cancer Treatment Studies 16
- Oncology 10
- Cancer Treatment and Pharmacology 8
- Colorectal Cancer Treatments and Studies 2
- Peptidase Inhibition and Analysis 2
- Co-authors
- Hiroyuki Takei (17 shared papers)Masafumi Kurosumi (17 shared papers)Kenichi Inoue (16 shared papers)Toshio Tabei (12 shared papers)Kimito Suemasu (8 shared papers)Takashi Yoshida (11 shared papers)Yuji Hayashi (9 shared papers)Miho Yoshida (6 shared papers)
- Journals
- Breast Cancer (8 papers)Surgery Today (3 papers)The Breast (2 papers)The Breast Journal (2 papers)Oncology Reports (2 papers)
- Partner nations
- JapanSwitzerlandSri Lanka
In The Last Decade
Jun Ninomiya
35 papers receiving 364 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 205
- Pathology and Forensic Medicine 92
- Oncology 84
- Dermatology 25
- Surgery 68
Countries citing papers authored by Jun Ninomiya
This map shows the geographic impact of Jun Ninomiya'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 Jun Ninomiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ninomiya more than expected).
Fields of papers citing papers by Jun Ninomiya
This network shows the impact of papers produced by Jun Ninomiya. 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 Jun Ninomiya. The network helps show where Jun Ninomiya may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ninomiya, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 38 | |
| 2 | 2006 | 25 | |
| 3 | 2005 | 24 | |
| 4 | 1999 | 23 | |
| 5 | 2006 | 22 | |
| 6 | 2010 | 21 | |
| 7 | 2007 | 20 | |
| 8 | 1984 | 20 | |
| 9 | 2009 | 19 | |
| 10 | 2009 | 16 | |
| 11 | 2002 | 16 | |
| 12 | 2012 | 15 | |
| 13 | 2006 | 14 | |
| 14 | 2014 | 13 | |
| 15 | 2019 | 13 | |
| 16 | 2009 | 12 | |
| 17 | 2004 | 12 | |
| 18 | 2003 | 10 | |
| 19 | 1994 | 8 | |
| 20 | 2006 | 6 |
About Jun Ninomiya
Jun Ninomiya is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Surgery and Molecular Biology, having authored 37 papers that have together received 381 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (16 papers), Breast Lesions and Carcinomas (9 papers), Cancer Treatment and Pharmacology (8 papers), Breast Implant and Reconstruction (4 papers), Colorectal Cancer Treatments and Studies (2 papers), Peptidase Inhibition and Analysis (2 papers), Cancer therapeutics and mechanisms (2 papers) and Lymphatic Disorders and Treatments (1 paper). The work is most often cited by research in Cancer Research (205 citations), Pathology and Forensic Medicine (92 citations), Oncology (84 citations), Dermatology (25 citations) and Surgery (68 citations). Jun Ninomiya has collaborated with scholars based in Japan, Switzerland and Sri Lanka. Frequent co-authors include Hiroyuki Takei, Masafumi Kurosumi, Kenichi Inoue, Toshio Tabei, Kimito Suemasu, Takashi Yoshida, Yuji Hayashi, Miho Yoshida, Yasuo Morishita and Toshinori Ide. Their work appears in journals such as Breast Cancer, Surgery Today, The Breast, The Breast Journal and Oncology 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.