I Moriyama
- Immunology top 10%
- Agronomy and Crop Science top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Molecular Biology
- Nutrition and Dietetics top 10%
- Topics
- Pregnancy and preeclampsia studies (9 papers)T-cell and Retrovirus Studies (9 papers)Neonatal Respiratory Health Research (7 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
I Moriyama
50 papers receiving 684 citations
Peers
Comparison fields: 5 of 88
- Immunology 364
- Agronomy and Crop Science 250
- Ecology, Evolution, Behavior and Systematics 210
- Molecular Biology 98
- Nutrition and Dietetics 88
Countries citing papers authored by I Moriyama
This map shows the geographic impact of I Moriyama'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 I Moriyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I Moriyama more than expected).
Fields of papers citing papers by I Moriyama
This network shows the impact of papers produced by I Moriyama. 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 I Moriyama. The network helps show where I Moriyama may publish in the future.
Co-authorship network of co-authors of I Moriyama
This figure shows the co-authorship network connecting the top 25 collaborators of I Moriyama. A scholar is included among the top collaborators of I Moriyama 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 I Moriyama. I Moriyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 20 | |
| 3 | 3 | |
| 4 | [The platelet aggregation inhibiting activity in human placenta--study on the ADP degrading activity of human placental villi]. | 1 |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 22 | |
| 9 | 69 | |
| 10 | 15 | |
| 11 | 33 | |
| 12 | 346 The study on the human placental L-lactate transport mechanism (The character and function of Na^+-H^+ exchanger in human placental brush border membrane). : | 1 |
| 13 | 28 | |
| 14 | 27 | |
| 15 | 14 | |
| 16 | 41 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | [The study on human placental DHA-S transport mechanism (using placental microvillous membrane vesicles)]. | 2 |
| 20 | 42 |
About I Moriyama
I Moriyama is a scholar working on Obstetrics and Gynecology, Clinical Biochemistry and Immunology, having authored 54 papers that have together received 716 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (9 papers), T-cell and Retrovirus Studies (9 papers) and Neonatal Respiratory Health Research (7 papers). The work is most often cited by research in Agronomy and Crop Science (250 citations), Immunology (364 citations) and Ecology, Evolution, Behavior and Systematics (210 citations). I Moriyama has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include M Ichijo, Yukio Ando, Shiro Nakano, Kazuo Sugamura, T Sugawa, Yorio Hinuma, Shigeru Saito, Yumiko Kato, Takenori Toyama and Kensuke Saito. Their work appears in journals such as Biochemistry, Journal of Hepatology and Advances in experimental medicine and biology.
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.