Seiichi Koike
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Proteoglycans and glycosaminoglycans research
- Physiology top 10%
- Calcium signaling and nucleotide metabolism
- Erythrocyte Function and Pathophysiology
Papers in
-
- Lipid Membrane Structure and Behavior 5
- Sphingolipid Metabolism and Signaling 4
- Photosynthetic Processes and Mechanisms 2
- Angiogenesis and VEGF in Cancer 1
- Glycosylation and Glycoproteins Research 1
- Cell Biology 10
- Cellular transport and secretion 8
- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Reinhard Jahn (4 shared papers)Masayuki Masu (7 shared papers)Kazuko Keino‐Masu (6 shared papers)Tatsuyuki Ohto (2 shared papers)Dragomir Milovanović (1 shared paper)Gesa Pähler (1 shared paper)Fabian Göttfert (1 shared paper)Stefan W. Hell (1 shared paper)
- Journals
- Nature Communications (3 papers)Genes to Cells (2 papers)eLife (2 papers)Biochemical and Biophysical Research Communications (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Seiichi Koike
16 papers receiving 455 citations
Peers
Comparison fields: 5 of 67
- Cell Biology 205
- Physiology 42
- Molecular Biology 354
- Biochemistry 29
- Physiology 52
Countries citing papers authored by Seiichi Koike
This map shows the geographic impact of Seiichi Koike'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 Seiichi Koike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiichi Koike more than expected).
Fields of papers citing papers by Seiichi Koike
This network shows the impact of papers produced by Seiichi Koike. 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 Seiichi Koike. The network helps show where Seiichi Koike may publish in the future.
Co-authors
The 25 scholars most cited alongside Seiichi Koike, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 123 | |
| 2 | 2019 | 69 | |
| 3 | 2006 | 58 | |
| 4 | 2009 | 42 | |
| 5 | 2005 | 34 | |
| 6 | 2011 | 31 | |
| 7 | 2011 | 30 | |
| 8 | 2010 | 24 | |
| 9 | 2017 | 19 | |
| 10 | 1991 | 10 | |
| 11 | 2024 | 8 | |
| 12 | 2024 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 1 |
About Seiichi Koike
Seiichi Koike is a scholar working on Molecular Biology, Cell Biology, Infectious Diseases, Physiology and Surgery, having authored 16 papers that have together received 460 indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Lipid Membrane Structure and Behavior (5 papers), Sphingolipid Metabolism and Signaling (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Angiogenesis and VEGF in Cancer (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (205 citations), Physiology (42 citations), Molecular Biology (354 citations), Biochemistry (29 citations) and Physiology (52 citations). Seiichi Koike has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Reinhard Jahn, Masayuki Masu, Kazuko Keino‐Masu, Tatsuyuki Ohto, Dragomir Milovanović, Gesa Pähler, Fabian Göttfert, Stefan W. Hell, Geert van den Bogaart and Christian Eggeling. Their work appears in journals such as Nature Communications, Genes to Cells, eLife, Biochemical and Biophysical Research Communications and Journal of Biological Chemistry.
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.