Joshua Shulman
- Molecular Biology top 2%
- Neurology top 0.5%
- Physiology top 2%
- Cellular and Molecular Neuroscience top 2%
- Cell Biology top 1%
- Co-authors
- Philip L. De JagerRob M. van DamWalter C. WillettMohsen JanghorbaniMel Β. FeanyJeffrey D. AxelrodDavid A. BennettNorbert Perrimon
- Topics
- Parkinson's Disease Mechanisms and Treatments (29 papers)Neurological disorders and treatments (20 papers)Alzheimer's disease research and treatments (12 papers)
- Journals
- CellGenes & DevelopmentSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Joshua Shulman
89 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Molecular Biology 2.8k
- Neurology 1.6k
- Physiology 1.0k
- Cellular and Molecular Neuroscience 850
- Cell Biology 772
Countries citing papers authored by Joshua Shulman
This map shows the geographic impact of Joshua Shulman'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 Joshua Shulman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Shulman more than expected).
Fields of papers citing papers by Joshua Shulman
This network shows the impact of papers produced by Joshua Shulman. 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 Joshua Shulman. The network helps show where Joshua Shulman may publish in the future.
Co-authorship network of co-authors of Joshua Shulman
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Shulman. A scholar is included among the top collaborators of Joshua Shulman 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 Joshua Shulman. Joshua Shulman 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 47 | |
| 8 | 14 | |
| 9 | 20 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 62 | |
| 13 | 51 | |
| 14 | Tuned Models of Peer Assessment in MOOCs. | 56 |
| 15 | Tighter Bounds for Structured Estimation | 33 |
| 16 | Efficient multiple hyperparameter learning for log-linear models | 46 |
| 17 | Transfer learning for text classification | 137 |
| 18 | PROBCONS: probabilistic consistency-based multiple alignment of amino acid sequences | 27 |
| 19 | 178 | |
| 20 | Cortical dysfunction in non-demented Parkinson's disease patients. A combined 31P-MRS and 18FDG-PET study | 6 |
About Joshua Shulman
Joshua Shulman is a scholar working on Neurology, Aging and Neurology, having authored 94 papers that have together received 6.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (29 papers), Neurological disorders and treatments (20 papers) and Alzheimer's disease research and treatments (12 papers). The work is most often cited by research in Aging (187 citations), Neurology (1.6k citations) and Orthopedics and Sports Medicine (656 citations). Joshua Shulman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Philip L. De Jager, Rob M. van Dam, Walter C. Willett, Mohsen Janghorbani, Mel Β. Feany, Jeffrey D. Axelrod, David A. Bennett, Norbert Perrimon, Jeffrey R. Miller and Randall T. Moon. Their work appears in journals such as Cell, Genes & Development and SHILAP Revista de lepidopterología.
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.