M. Igarashi
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Epidemiology
- Nutrition and Dietetics
- Co-authors
- Makoto TominagaMakoto DaimonKeiichi YamataniHideo SasakiHideo ManakaBarry GeraldJoe JabbourHideo Takahashi
- Topics
- Diabetes Treatment and Management (4 papers)Gastroesophageal reflux and treatments (2 papers)Metabolism, Diabetes, and Cancer (2 papers)
- Journals
- RadiologyBiochemical and Biophysical Research CommunicationsJournal of Histochemistry & Cytochemistry
- Partner nations
- Japan
In The Last Decade
M. Igarashi
22 papers receiving 485 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 171
- Endocrinology, Diabetes and Metabolism 161
- Surgery 134
- Epidemiology 98
- Nutrition and Dietetics 75
Countries citing papers authored by M. Igarashi
This map shows the geographic impact of M. Igarashi'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 M. Igarashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Igarashi more than expected).
Fields of papers citing papers by M. Igarashi
This network shows the impact of papers produced by M. Igarashi. 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 M. Igarashi. The network helps show where M. Igarashi may publish in the future.
Co-authorship network of co-authors of M. Igarashi
This figure shows the co-authorship network connecting the top 25 collaborators of M. Igarashi. A scholar is included among the top collaborators of M. Igarashi 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 M. Igarashi. M. Igarashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | The expression of Diacylglycerol Kinase (DGK) and cytokines in Retina of Diabetic Rats | 1 |
| 3 | 12 | |
| 4 | 5 | |
| 5 | 52 | |
| 6 | 19 | |
| 7 | 38 | |
| 8 | 5 | |
| 9 | 31 | |
| 10 | 29 | |
| 11 | 31 | |
| 12 | 62 | |
| 13 | 7 | |
| 14 | 37 | |
| 15 | 8 | |
| 16 | 17 | |
| 17 | [Ulcerative colitis and pregnancy]. | 0 |
| 18 | 7 | |
| 19 | 94 | |
| 20 | Drug-induced liver injury and microsomal arylamidase activity in needle biopsy of human liver. | 2 |
About M. Igarashi
M. Igarashi is a scholar working on Gastroenterology, Endocrinology, Diabetes and Metabolism and Immunology and Allergy, having authored 24 papers that have together received 512 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (4 papers), Gastroesophageal reflux and treatments (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (161 citations), Microbiology (54 citations) and Endocrine and Autonomic Systems (47 citations). M. Igarashi has collaborated with scholars based in Japan. Frequent co-authors include Makoto Tominaga, Makoto Daimon, Keiichi Yamatani, Hideo Sasaki, Hideo Manaka, Barry Gerald, Joe Jabbour, Hideo Takahashi, Kazuhiko Sugiyama and Toru Kawanami. Their work appears in journals such as Radiology, Biochemical and Biophysical Research Communications and Journal of Histochemistry & Cytochemistry.
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.