Eiji Shibata
- Obstetrics and Gynecology top 0.5%
- Pediatrics, Perinatology and Child Health top 2%
- Immunology top 10%
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Co-authors
- Augustine RajakumarCarl A. HubelRobert W. PowersJames M. RobertsNina MarkovićGail HargerFrauke von Versen‐HöynckToshihiro Kawamoto
- Topics
- Pregnancy and preeclampsia studies (16 papers)Birth, Development, and Health (10 papers)Gestational Diabetes Research and Management (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Eiji Shibata
38 papers receiving 942 citations
Peers
Comparison fields: 5 of 96
- Obstetrics and Gynecology 702
- Pediatrics, Perinatology and Child Health 589
- Immunology 275
- Public Health, Environmental and Occupational Health 117
- Molecular Biology 107
Countries citing papers authored by Eiji Shibata
This map shows the geographic impact of Eiji Shibata'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 Eiji Shibata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji Shibata more than expected).
Fields of papers citing papers by Eiji Shibata
This network shows the impact of papers produced by Eiji Shibata. 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 Eiji Shibata. The network helps show where Eiji Shibata may publish in the future.
Co-authorship network of co-authors of Eiji Shibata
This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Shibata. A scholar is included among the top collaborators of Eiji Shibata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eiji Shibata. Eiji Shibata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 35 | |
| 9 | 30 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 37 | |
| 14 | 15 | |
| 15 | 50 | |
| 16 | 56 | |
| 17 | 45 | |
| 18 | 57 | |
| 19 | 53 | |
| 20 | 5 |
About Eiji Shibata
Eiji Shibata is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems, having authored 39 papers that have together received 965 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (16 papers), Birth, Development, and Health (10 papers) and Gestational Diabetes Research and Management (4 papers). The work is most often cited by research in Obstetrics and Gynecology (702 citations), Pediatrics, Perinatology and Child Health (589 citations) and Immunology (275 citations). Eiji Shibata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Augustine Rajakumar, Carl A. Hubel, Robert W. Powers, James M. Roberts, Nina Marković, Gail Harger, Frauke von Versen‐Höynck, Toshihiro Kawamoto, Mayumi Tsuji and Carol Gilmour. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.