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
Papers in
-
- Ovarian cancer diagnosis and treatment 9
- Endometriosis Research and Treatment 1
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- PI3K/AKT/mTOR signaling in cancer 6
- Co-authors
- Hiroaki Itamochi (20 shared papers)Junzo Kigawa (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)Michiko Nonaka (9 shared papers)
- Journals
- International Journal of Gynecological Cancer (5 papers)Cancer Science (3 papers)Human Cell (2 papers)Cancer Research (2 papers)Oncology Reports (2 papers)
- Partner nations
- Japan
In The Last Decade
Jun Naniwa
18 papers receiving 397 citations
Peers
Comparison fields: 5 of 53
- Reproductive Medicine 125
- Obstetrics and Gynecology 67
- Pathology and Forensic Medicine 65
- Oncology 89
- Cancer Research 44
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 18 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 | 67 | |
| 2 | 2005 | 53 | |
| 3 | 2004 | 42 | |
| 4 | 2013 | 39 | |
| 5 | 2014 | 38 | |
| 6 | 2006 | 31 | |
| 7 | 2011 | 26 | |
| 8 | 2009 | 23 | |
| 9 | 2014 | 17 | |
| 10 | 2013 | 15 | |
| 11 | 2005 | 12 | |
| 12 | 2013 | 12 | |
| 13 | 2012 | 12 | |
| 14 | 2003 | 11 | |
| 15 | 2004 | 9 | |
| 16 | 2012 | 5 | |
| 17 | 2011 | 3 | |
| 18 | 2013 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2014 | 0 |
About Jun Naniwa
Jun Naniwa is a scholar working on Reproductive Medicine, Molecular Biology, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 417 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (9 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Cancer Mechanisms and Therapy (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Reproductive Biology and Fertility (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Intraperitoneal and Appendiceal Malignancies (1 paper) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Reproductive Medicine (125 citations), Obstetrics and Gynecology (67 citations), Pathology and Forensic Medicine (65 citations), Oncology (89 citations) and Cancer Research (44 citations). Jun Naniwa has collaborated with scholars based in Japan. Frequent co-authors include Hiroaki Itamochi, Junzo Kigawa, Tetsuro Oishi, Muneaki Shimada, Naoki Terakawa, Seiya Sato, Shinya Sato, Michiko Nonaka, Yasunobu Kanamori and Tasuku Harada. Their work appears in journals such as International Journal of Gynecological Cancer, Cancer Science, Human Cell, Cancer Research 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.