Yumi Imai
- Molecular Biology top 5%
- Epidemiology top 5%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Genetics top 5%
- Co-authors
- Domenico AcciliSimeon I. TaylorJerry L. NadlerYoshihisa InoueTodd P. MargolisRexford S. AhimaD R ClemmonsKazuo Kitaura
- Topics
- Pancreatic function and diabetes (35 papers)Adipose Tissue and Metabolism (15 papers)Metabolism, Diabetes, and Cancer (14 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- United StatesJapanItaly
In The Last Decade
Yumi Imai
105 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.7k
- Epidemiology 954
- Surgery 937
- Endocrinology, Diabetes and Metabolism 890
- Genetics 567
Countries citing papers authored by Yumi Imai
This map shows the geographic impact of Yumi Imai'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 Yumi Imai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yumi Imai more than expected).
Fields of papers citing papers by Yumi Imai
This network shows the impact of papers produced by Yumi Imai. 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 Yumi Imai. The network helps show where Yumi Imai may publish in the future.
Co-authorship network of co-authors of Yumi Imai
This figure shows the co-authorship network connecting the top 25 collaborators of Yumi Imai. A scholar is included among the top collaborators of Yumi Imai 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 Yumi Imai. Yumi Imai 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 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 18 | |
| 6 | 24 | |
| 7 | 10 | |
| 8 | 9 | |
| 9 | 15 | |
| 10 | 19 | |
| 11 | 5 | |
| 12 | 97 | |
| 13 | 15 | |
| 14 | 33 | |
| 15 | 100 | |
| 16 | 11 | |
| 17 | 16 | |
| 18 | 105 | |
| 19 | EVALUATION OF THE POLYMERASE CHAIN REACTION to detect Chlamydia psittaci DNA | 2 |
| 20 | 29 |
About Yumi Imai
Yumi Imai is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Ophthalmology, having authored 109 papers that have together received 4.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (35 papers), Adipose Tissue and Metabolism (15 papers) and Metabolism, Diabetes, and Cancer (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (890 citations), Biochemistry (342 citations) and Endocrine and Autonomic Systems (215 citations). Yumi Imai has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Domenico Accili, Simeon I. Taylor, Jerry L. Nadler, Yoshihisa Inoue, Todd P. Margolis, Rexford S. Ahima, D R Clemmons, Kazuo Kitaura, Isao Nakanishi and Margaret A. Morris. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.