Gén Kobashi
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Obstetrics and Gynecology top 0.5%
- Pregnancy and preeclampsia studies
Papers in
-
- Pregnancy and preeclampsia studies 20
- Physiology 10
- Reproductive biology and impacts on aquatic species 10
- Co-authors
- Mitsumasa UmesawaHiroki ShiratoMasao TagoSaeko HirotaHidefumi AoyamaKazushige HayakawaT InomataKeiichi Nakagawa
- Journals
- Journal of Epidemiology (13 papers)Seminars in Thrombosis and Hemostasis (8 papers)BMJ Open (7 papers)Scientific Reports (5 papers)International Journal of Environmental Research and Public Health (5 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Gén Kobashi
164 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Genetics 1.5k
- Obstetrics and Gynecology 739
- Pulmonary and Respiratory Medicine 2.3k
- Physiology 211
- Oncology 1.1k
Countries citing papers authored by Gén Kobashi
This map shows the geographic impact of Gén Kobashi'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 Gén Kobashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gén Kobashi more than expected).
Fields of papers citing papers by Gén Kobashi
This network shows the impact of papers produced by Gén Kobashi. 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 Gén Kobashi. The network helps show where Gén Kobashi may publish in the future.
Co-authors
The 25 scholars most cited alongside Gén Kobashi, 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 | 2025 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 9 | |
| 13 | 2019 | 67 | |
| 14 | 2019 | 22 | |
| 15 | A case-control study to detect genetic and acquired risk factors for pediatric inflammatory bowel disease | 2014 | 1 |
| 16 | 2011 | 2 | |
| 17 | 2011 | 1 | |
| 18 | 2009 | 15 | |
| 19 | 2004 | 14 | |
| 20 | 2001 | 19 |
About Gén Kobashi
Gén Kobashi is a scholar working on Obstetrics and Gynecology, Physiology, Radiological and Ultrasound Technology, Emergency Medical Services and Sensory Systems, having authored 165 papers that have together received 6.2k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (20 papers), Radioactive contamination and transfer (14 papers), Birth, Development, and Health (13 papers), Reproductive biology and impacts on aquatic species (10 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), Systemic Lupus Erythematosus Research (9 papers), Disaster Response and Management (8 papers) and Reproductive System and Pregnancy (8 papers). The work is most often cited by research in Genetics (1.5k citations), Obstetrics and Gynecology (739 citations), Pulmonary and Respiratory Medicine (2.3k citations), Physiology (211 citations) and Oncology (1.1k citations). Gén Kobashi has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Mitsumasa Umesawa, Hiroki Shirato, Masao Tago, Saeko Hirota, Hidefumi Aoyama, Kazushige Hayakawa, T Inomata, Keiichi Nakagawa, Etsuo Kunieda and Tatsuya Toyoda. Their work appears in journals such as Journal of Epidemiology, Seminars in Thrombosis and Hemostasis, BMJ Open, Scientific Reports and International Journal of Environmental Research and Public Health.
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.