Harwin Sidik
Impact in
- Developmental Neuroscience top 10%
Papers in
-
- Neurogenesis and neuroplasticity mechanisms 4
-
- Genetic Neurodegenerative Diseases 5
- Co-authors
- William S. Talbot (5 shared papers)Kevin J. Paavola (1 shared paper)J. Bradley Zuchero (1 shared paper)Michael R. Eckart (1 shared paper)Kimberle Shen (1 shared paper)Jing Wang (1 shared paper)Mark D. Fleming (1 shared paper)Mahmoud A. Pouladi (8 shared papers)
- Journals
- Cell Reports (2 papers)Molecular Neurobiology (2 papers)Development (2 papers)Neurobiology of Disease (2 papers)Science Signaling (1 paper)
- Partner nations
- SingaporeUnited StatesCanada
In The Last Decade
Harwin Sidik
16 papers receiving 684 citations
Peers
Comparison fields: 5 of 76
- Biological Psychiatry 27
- Developmental Neuroscience 44
- Neurology 78
- Cellular and Molecular Neuroscience 145
- Genetics 72
Countries citing papers authored by Harwin Sidik
This map shows the geographic impact of Harwin Sidik'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 Harwin Sidik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harwin Sidik more than expected).
Fields of papers citing papers by Harwin Sidik
This network shows the impact of papers produced by Harwin Sidik. 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 Harwin Sidik. The network helps show where Harwin Sidik may publish in the future.
Co-authors
The 25 scholars most cited alongside Harwin Sidik, 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 | 2014 | 154 | |
| 2 | 2010 | 131 | |
| 3 | 2008 | 87 | |
| 4 | 2016 | 73 | |
| 5 | 2016 | 67 | |
| 6 | 2019 | 54 | |
| 7 | 2014 | 36 | |
| 8 | 2018 | 35 | |
| 9 | 2022 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2015 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2025 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2023 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 2026 | 0 |
About Harwin Sidik
Harwin Sidik is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology and Genetics, having authored 17 papers that have together received 696 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Zebrafish Biomedical Research Applications (4 papers), Mitochondrial Function and Pathology (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Phagocytosis and Immune Regulation (2 papers), Multiple Sclerosis Research Studies (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Biological Psychiatry (27 citations), Developmental Neuroscience (44 citations), Neurology (78 citations), Cellular and Molecular Neuroscience (145 citations) and Genetics (72 citations). Harwin Sidik has collaborated with scholars based in Singapore, United States and Canada. Frequent co-authors include William S. Talbot, Kevin J. Paavola, J. Bradley Zuchero, Michael R. Eckart, Kimberle Shen, Jing Wang, Mark D. Fleming, Mahmoud A. Pouladi, Yangang Liu and Jing Zhang. Their work appears in journals such as Cell Reports, Molecular Neurobiology, Development, Neurobiology of Disease and Science Signaling.
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.