Susannah Chang
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Axon Guidance and Neuronal Signaling
- Nerve injury and regeneration
- Neurobiology and Insect Physiology Research
Papers in
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- Glycosylation and Glycoproteins Research 2
- Developmental Biology and Gene Regulation 2
- Ubiquitin and proteasome pathways 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- S100 Proteins and Annexins 1
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- Neurobiology and Insect Physiology Research 2
- Axon Guidance and Neuronal Signaling 2
- Co-authors
- Jonathan A. Raper (3 shared papers)Yuling Luo (1 shared paper)Iain T. Shepherd (1 shared paper)Friedrich Bonhoeffer (1 shared paper)J M Wolff (1 shared paper)Fritz G. Rathjen (1 shared paper)John P. Kanki (1 shared paper)John Y. Kuwada (1 shared paper)
- Journals
- Developmental Biology (2 papers)Progress in brain research (1 paper)Developmental Brain Research (1 paper)Development (1 paper)Cell (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Susannah Chang
9 papers receiving 389 citations
Peers
Comparison fields: 5 of 48
- Developmental Neuroscience 132
- Cellular and Molecular Neuroscience 266
- Immunology and Allergy 60
- Cell Biology 136
- Aging 7
Countries citing papers authored by Susannah Chang
This map shows the geographic impact of Susannah Chang'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 Susannah Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susannah Chang more than expected).
Fields of papers citing papers by Susannah Chang
This network shows the impact of papers produced by Susannah Chang. 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 Susannah Chang. The network helps show where Susannah Chang may publish in the future.
Co-authors
The 13 scholars most cited alongside Susannah Chang, 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 | 1987 | 135 | |
| 2 | 1996 | 128 | |
| 3 | 1994 | 55 | |
| 4 | 1995 | 29 | |
| 5 | 1983 | 23 | |
| 6 | 1992 | 22 | |
| 7 | 1983 | 3 | |
| 8 | 1994 | 2 | |
| 9 | 2008 | 1 |
About Susannah Chang
Susannah Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Developmental Neuroscience and Surgery, having authored 9 papers that have together received 398 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (2 papers), Glycosylation and Glycoproteins Research (2 papers), Neurobiology and Insect Physiology Research (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Developmental Biology and Gene Regulation (2 papers), Ubiquitin and proteasome pathways (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Developmental Neuroscience (132 citations), Cellular and Molecular Neuroscience (266 citations), Immunology and Allergy (60 citations), Cell Biology (136 citations) and Aging (7 citations). Susannah Chang has collaborated with scholars based in United States and Germany. Frequent co-authors include Jonathan A. Raper, Yuling Luo, Iain T. Shepherd, Friedrich Bonhoeffer, J M Wolff, Fritz G. Rathjen, John P. Kanki, John Y. Kuwada, Robert K. Ho and Corey S. Goodman. Their work appears in journals such as Developmental Biology, Progress in brain research, Developmental Brain Research, Development 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.