Yukiko Goda
- Cellular and Molecular Neuroscience top 0.1%
- Molecular Biology top 1%
- Cell Biology top 0.1%
- Cognitive Neuroscience top 1%
- Physiology top 2%
- Co-authors
- Lorenzo A. CingolaniCharles F. StevensThomas C. SüdhofMartin GeppertKarine PozoC F StevensSuzanne R. PfefferThomas E. Chater
- Topics
- Neuroscience and Neuropharmacology Research (57 papers)Cellular transport and secretion (19 papers)Lipid Membrane Structure and Behavior (16 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yukiko Goda
93 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cellular and Molecular Neuroscience 5.3k
- Molecular Biology 5.0k
- Cell Biology 3.5k
- Cognitive Neuroscience 1.4k
- Physiology 940
Countries citing papers authored by Yukiko Goda
This map shows the geographic impact of Yukiko Goda'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 Yukiko Goda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukiko Goda more than expected).
Fields of papers citing papers by Yukiko Goda
This network shows the impact of papers produced by Yukiko Goda. 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 Yukiko Goda. The network helps show where Yukiko Goda may publish in the future.
Co-authorship network of co-authors of Yukiko Goda
This figure shows the co-authorship network connecting the top 25 collaborators of Yukiko Goda. A scholar is included among the top collaborators of Yukiko Goda 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 Yukiko Goda. Yukiko Goda 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 | 3 | |
| 3 | 4 | |
| 4 | 31 | |
| 5 | 251 | |
| 6 | Actin in action: the interplay between the actin cytoskeleton and synaptic efficacy (vol 9, pg 344, 2008) | 23 |
| 7 | 2 | |
| 8 | 178 | |
| 9 | 27 | |
| 10 | 54 | |
| 11 | 227 | |
| 12 | 249 | |
| 13 | 26 | |
| 14 | 25 | |
| 15 | The small GTP-binding protein Rab3A regulates a late step in synaptic vesicle fusionbreakdown → | 354 |
| 16 | Hemodilution Has an Important Role in Femoral-to-Radial Artery Pressure Gradient after Cardiopulmonary Bypass | 3 |
| 17 | 12 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 155 |
About Yukiko Goda
Yukiko Goda is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Neurology, having authored 98 papers that have together received 9.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (57 papers), Cellular transport and secretion (19 papers) and Lipid Membrane Structure and Behavior (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.3k citations), Cell Biology (3.5k citations) and Developmental Neuroscience (584 citations). Yukiko Goda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Lorenzo A. Cingolani, Charles F. Stevens, Thomas C. Südhof, Martin Geppert, Karine Pozo, C F Stevens, Suzanne R. Pfeffer, Thomas E. Chater, Michael A. Colicos and Robert E. Hammer. 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.