Yaniv Ziv
- Cellular and Molecular Neuroscience top 0.5%
- Neurology top 0.2%
- Cognitive Neuroscience top 1%
- Molecular Biology top 5%
- Developmental Neuroscience top 0.2%
- Co-authors
- Michal SchwartzMark J. SchnitzerAbbas El GamalEric D. CockerKunal GhoshJonathan KipnisHagit CohenOleg Butovsky
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (21 papers)Neuroscience and Neuropharmacology Research (18 papers)Memory and Neural Mechanisms (14 papers)
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Yaniv Ziv
43 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Cellular and Molecular Neuroscience 2.4k
- Neurology 2.3k
- Cognitive Neuroscience 1.8k
- Molecular Biology 1.4k
- Developmental Neuroscience 1.2k
Countries citing papers authored by Yaniv Ziv
This map shows the geographic impact of Yaniv Ziv'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 Yaniv Ziv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaniv Ziv more than expected).
Fields of papers citing papers by Yaniv Ziv
This network shows the impact of papers produced by Yaniv Ziv. 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 Yaniv Ziv. The network helps show where Yaniv Ziv may publish in the future.
Co-authorship network of co-authors of Yaniv Ziv
This figure shows the co-authorship network connecting the top 25 collaborators of Yaniv Ziv. A scholar is included among the top collaborators of Yaniv Ziv 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 Yaniv Ziv. Yaniv Ziv 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 | 12 | |
| 3 | 6 | |
| 4 | 10 | |
| 5 | 92 | |
| 6 | 43 | |
| 7 | 88 | |
| 8 | 199 | |
| 9 | 56 | |
| 10 | Long-term dynamics of CA1 hippocampal place codesbreakdown → | 726 |
| 11 | Miniaturized integration of a fluorescence microscopebreakdown → | 771 |
| 12 | 93 | |
| 13 | 485 | |
| 14 | 221 | |
| 15 | Immune cells contribute to the maintenance of neurogenesis and spatial learning abilities in adulthoodbreakdown → | 905 |
| 16 | Microglia activated by IL-4 or IFN-γ differentially induce neurogenesis and oligodendrogenesis from adult stem/progenitor cellsbreakdown → | 728 |
| 17 | 382 | |
| 18 | Revealing modular organization in the yeast transcriptional networkbreakdown → | 520 |
| 19 | 16 | |
| 20 | 8 |
About Yaniv Ziv
Yaniv Ziv is a scholar working on Developmental Neuroscience, Neurology and Biological Psychiatry, having authored 44 papers that have together received 6.6k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (21 papers), Neuroscience and Neuropharmacology Research (18 papers) and Memory and Neural Mechanisms (14 papers). The work is most often cited by research in Developmental Neuroscience (1.2k citations), Biological Psychiatry (734 citations) and Neurology (2.3k citations). Yaniv Ziv has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Michal Schwartz, Mark J. Schnitzer, Abbas El Gamal, Eric D. Cocker, Kunal Ghosh, Jonathan Kipnis, Hagit Cohen, Oleg Butovsky, Gennady Landa and Alon Rubin. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.
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.