Susan Ide
- Neurology top 0.05%
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Physiology top 1%
- Neurology top 0.5%
- Co-authors
- Mihael H. PolymeropoulosAlice LazzariniRobert L. NussbaumLawrence I. GolbeGiuseppe Di IorioWilliam G. JohnsonEdward S. StenroosRoger C. Duvoisin
- Topics
- Heat shock proteins research (5 papers)Genetic Syndromes and Imprinting (3 papers)Mitochondrial Function and Pathology (3 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Susan Ide
23 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Neurology 5.6k
- Cellular and Molecular Neuroscience 3.2k
- Molecular Biology 2.3k
- Physiology 1.9k
- Neurology 1.5k
Countries citing papers authored by Susan Ide
This map shows the geographic impact of Susan Ide'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 Susan Ide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Ide more than expected).
Fields of papers citing papers by Susan Ide
This network shows the impact of papers produced by Susan Ide. 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 Susan Ide. The network helps show where Susan Ide may publish in the future.
Co-authorship network of co-authors of Susan Ide
This figure shows the co-authorship network connecting the top 25 collaborators of Susan Ide. A scholar is included among the top collaborators of Susan Ide 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 Susan Ide. Susan Ide is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 31 | |
| 3 | 56 | |
| 4 | Abstract #5649: Pharmakokinetic/phamacodynamic relationship of the HSP90 inhibitor NVP-AUY922 in human xenografts and patients in a clinical Phase I trial | 2 |
| 5 | 18 | |
| 6 | 6 | |
| 7 | 15 | |
| 8 | 69 | |
| 9 | 10 | |
| 10 | 224 | |
| 11 | 7 | |
| 12 | 8 | |
| 13 | Mutation in the α-Synuclein Gene Identified in Families with Parkinson's Diseasebreakdown → | 6341 |
| 14 | 10 | |
| 15 | 41 | |
| 16 | Mapping of a Gene for Parkinson's Disease to Chromosome 4q21-q23breakdown → | 548 |
| 17 | 13 | |
| 18 | 84 | |
| 19 | 23 | |
| 20 | 3 |
About Susan Ide
Susan Ide is a scholar working on Developmental Biology, Hematology and Neurology, having authored 23 papers that have together received 7.6k indexed citations. Recurring topics across this work include Heat shock proteins research (5 papers), Genetic Syndromes and Imprinting (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Neurology (5.6k citations), Neurology (1.5k citations) and Cellular and Molecular Neuroscience (3.2k citations). Susan Ide has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Mihael H. Polymeropoulos, Alice Lazzarini, Robert L. Nussbaum, Lawrence I. Golbe, Giuseppe Di Iorio, William G. Johnson, Edward S. Stenroos, Roger C. Duvoisin, Christian Lavedan and Elisabeth Leroy. Their work appears in journals such as Science, Nature Genetics and Journal of Clinical Oncology.
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.