Jun Naniwa
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Endometriosis Research and Treatment
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
- Uterine Myomas and Treatments
Papers in ⓘ
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- PI3K/AKT/mTOR signaling in cancer 8
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- Ovarian cancer diagnosis and treatment 8
- Endometriosis Research and Treatment 2
- Co-authors
- Junzo Kigawa (19 shared papers)Hiroaki Itamochi (19 shared papers)Tetsuro Oishi (17 shared papers)Muneaki Shimada (17 shared papers)Naoki Terakawa (13 shared papers)Seiya Sato (13 shared papers)Shinya Sato (14 shared papers)Yasunobu Kanamori (6 shared papers)
- Journals
- International Journal of Gynecological Cancer (5 papers)Cancer Science (3 papers)Human Cell (2 papers)Oncology Reports (2 papers)Cancer Research (2 papers)
- Partner nations
- Japan
In The Last Decade
Jun Naniwa
18 papers receiving 389 citations
Peers
Comparison fields: 5 of 53
- Reproductive Medicine 158
- Obstetrics and Gynecology 75
- Pathology and Forensic Medicine 79
- Oncology 114
- Cancer Research 53
Countries citing papers authored by Jun Naniwa
This map shows the geographic impact of Jun Naniwa'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 Naniwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Naniwa more than expected).
Fields of papers citing papers by Jun Naniwa
This network shows the impact of papers produced by Jun Naniwa. 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 Naniwa. The network helps show where Jun Naniwa may publish in the future.
Co-authors
The 17 scholars most cited alongside Jun Naniwa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 61 | |
| 2 | 2005 | 52 | |
| 3 | 2004 | 41 | |
| 4 | 2013 | 38 | |
| 5 | 2014 | 35 | |
| 6 | 2006 | 30 | |
| 7 | 2011 | 24 | |
| 8 | 2009 | 23 | |
| 9 | 2014 | 16 | |
| 10 | 2013 | 14 | |
| 11 | 2013 | 12 | |
| 12 | 2005 | 12 | |
| 13 | 2012 | 12 | |
| 14 | 2003 | 11 | |
| 15 | 2004 | 9 | |
| 16 | 2012 | 5 | |
| 17 | 2011 | 3 | |
| 18 | 2013 | 1 | |
| 19 | 2014 | 0 |
About Jun Naniwa
Jun Naniwa is a scholar working on Molecular Biology, Reproductive Medicine, Pathology and Forensic Medicine, Oncology and Surgery, having authored 19 papers that have together received 399 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (8 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Cancer Mechanisms and Therapy (5 papers), Endometrial and Cervical Cancer Treatments (2 papers), PARP inhibition in cancer therapy (2 papers), Microtubule and mitosis dynamics (2 papers), Endometriosis Research and Treatment (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Reproductive Medicine (158 citations), Obstetrics and Gynecology (75 citations), Pathology and Forensic Medicine (79 citations), Oncology (114 citations) and Cancer Research (53 citations). Jun Naniwa has collaborated with scholars based in Japan. Frequent co-authors include Junzo Kigawa, Hiroaki Itamochi, Tetsuro Oishi, Muneaki Shimada, Naoki Terakawa, Seiya Sato, Shinya Sato, Yasunobu Kanamori, Michiko Nonaka and Tasuku Harada. Their work appears in journals such as International Journal of Gynecological Cancer, Cancer Science, Human Cell, Oncology Reports and Cancer Research.
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.