Samir Vaid
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Pluripotent Stem Cells Research 4
- Congenital heart defects research 3
- RNA Research and Splicing 3
-
- Neurogenesis and neuroplasticity mechanisms 9
- Co-authors
- Wieland Β. Huttner (11 shared papers)Takashi Namba (5 shared papers)Barbara K. Stepien (4 shared papers)Nereo Kalebic (3 shared papers)Holger Brandl (2 shared papers)Lei Xing (2 shared papers)Pauline Wimberger (2 shared papers)Katherine R. Long (2 shared papers)
- Journals
- Frontiers in Cell and Developmental Biology (2 papers)Development (2 papers)Neuron (2 papers)Current Biology (1 paper)Journal of Neural Transmission (1 paper)
- Partner nations
- GermanySwitzerlandItaly
In The Last Decade
Samir Vaid
12 papers receiving 341 citations
Peers
Comparison fields: 5 of 59
- Developmental Neuroscience 156
- Aging 28
- Cancer Research 54
- Molecular Biology 243
- Cellular and Molecular Neuroscience 57
Countries citing papers authored by Samir Vaid
This map shows the geographic impact of Samir Vaid'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 Samir Vaid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samir Vaid more than expected).
Fields of papers citing papers by Samir Vaid
This network shows the impact of papers produced by Samir Vaid. 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 Samir Vaid. The network helps show where Samir Vaid may publish in the future.
Co-authors
The 25 scholars most cited alongside Samir Vaid, 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 | 2019 | 90 | |
| 2 | 2018 | 66 | |
| 3 | 2020 | 30 | |
| 4 | 2013 | 29 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 28 | |
| 7 | 2021 | 25 | |
| 8 | 2020 | 18 | |
| 9 | 2022 | 13 | |
| 10 | 2018 | 11 | |
| 11 | 2022 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2021 | 0 |
About Samir Vaid
Samir Vaid is a scholar working on Molecular Biology, Developmental Neuroscience, Cancer Research, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 341 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (9 papers), Pluripotent Stem Cells Research (4 papers), MicroRNA in disease regulation (3 papers), Congenital heart defects research (3 papers), RNA Research and Splicing (3 papers), Birth, Development, and Health (2 papers), Metabolism and Genetic Disorders (1 paper) and Axon Guidance and Neuronal Signaling (1 paper). The work is most often cited by research in Developmental Neuroscience (156 citations), Aging (28 citations), Cancer Research (54 citations), Molecular Biology (243 citations) and Cellular and Molecular Neuroscience (57 citations). Samir Vaid has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Wieland Β. Huttner, Takashi Namba, Barbara K. Stepien, Nereo Kalebic, Holger Brandl, Lei Xing, Pauline Wimberger, Katherine R. Long, Sylke Winkler and Anne‐Kristin Heninger. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Development, Neuron, Current Biology and Journal of Neural Transmission.
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.