Shoen Kume
- Molecular Biology top 2%
- Surgery top 2%
- Cellular and Molecular Neuroscience top 2%
- Genetics top 2%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Kazuhiko KumeNobuaki ShirakiJayaraj RajagopalDouglas A. MeltonW. J. AndersonKatsuhiko MikoshibaSang Ki ParkF. Rob Jackson
- Topics
- Pancreatic function and diabetes (59 papers)Pluripotent Stem Cells Research (47 papers)Congenital heart defects research (13 papers)
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Shoen Kume
133 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 2.6k
- Surgery 1.4k
- Cellular and Molecular Neuroscience 923
- Genetics 848
- Endocrine and Autonomic Systems 421
Countries citing papers authored by Shoen Kume
This map shows the geographic impact of Shoen Kume'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 Shoen Kume with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoen Kume more than expected).
Fields of papers citing papers by Shoen Kume
This network shows the impact of papers produced by Shoen Kume. 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 Shoen Kume. The network helps show where Shoen Kume may publish in the future.
Co-authorship network of co-authors of Shoen Kume
This figure shows the co-authorship network connecting the top 25 collaborators of Shoen Kume. A scholar is included among the top collaborators of Shoen Kume 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 Shoen Kume. Shoen Kume 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 | 2 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 13 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 14 | |
| 15 | 17 | |
| 16 | 44 | |
| 17 | 15 | |
| 18 | [cAMP-dependent protein kinase in human platelets and effect of prostaglandin E1 on its endogenous substrates (author's transl)]. | 1 |
| 19 | Studies on the nurse cells and oogenesis in the sea urchin ovary. I. Morphology of the nurse cell (light microscopy of epon serial section). | 2 |
| 20 | Studies on the nurse cells and oogenesis in the sea urchin ovary. II. Morphology of the nurse cell (TEM and SEM observations). | 2 |
About Shoen Kume
Shoen Kume is a scholar working on Aging, Surgery and Endocrinology, having authored 138 papers that have together received 4.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (59 papers), Pluripotent Stem Cells Research (47 papers) and Congenital heart defects research (13 papers). The work is most often cited by research in Aging (112 citations), Endocrine and Autonomic Systems (421 citations) and Cellular and Molecular Neuroscience (923 citations). Shoen Kume has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Kazuhiko Kume, Nobuaki Shiraki, Jayaraj Rajagopal, Douglas A. Melton, W. J. Anderson, Katsuhiko Mikoshiba, Sang Ki Park, F. Rob Jackson, Jay Hirsh and Akira Muto. Their work appears in journals such as Nature, Science and Cell.
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.