Philip S. Ulinski
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Cell Biology top 10%
- Co-authors
- Dennis M. DaceyE. H. PetersonCarey D. BalabanMartin I. SerenoBijoy K. GhoshKathleen MulliganZoran NenadićMichael J. Fowler
- Topics
- Neural dynamics and brain function (26 papers)Neurobiology and Insect Physiology Research (24 papers)Retinal Development and Disorders (20 papers)
- Partner nations
- United States
In The Last Decade
Philip S. Ulinski
67 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Cellular and Molecular Neuroscience 682
- Cognitive Neuroscience 528
- Molecular Biology 426
- Ecology, Evolution, Behavior and Systematics 207
- Cell Biology 180
Countries citing papers authored by Philip S. Ulinski
This map shows the geographic impact of Philip S. Ulinski'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 Philip S. Ulinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip S. Ulinski more than expected).
Fields of papers citing papers by Philip S. Ulinski
This network shows the impact of papers produced by Philip S. Ulinski. 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 Philip S. Ulinski. The network helps show where Philip S. Ulinski may publish in the future.
Co-authorship network of co-authors of Philip S. Ulinski
This figure shows the co-authorship network connecting the top 25 collaborators of Philip S. Ulinski. A scholar is included among the top collaborators of Philip S. Ulinski 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 Philip S. Ulinski. Philip S. Ulinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 13 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 28 | |
| 8 | 17 | |
| 9 | 32 | |
| 10 | 30 | |
| 11 | 38 | |
| 12 | 16 | |
| 13 | 18 | |
| 14 | Morphology of retinogeniculate terminals in the turtle pseudemys scripta elegans | 1 |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 27 | |
| 18 | 15 | |
| 19 | 26 | |
| 20 | 7 |
About Philip S. Ulinski
Philip S. Ulinski is a scholar working on Developmental Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (26 papers), Neurobiology and Insect Physiology Research (24 papers) and Retinal Development and Disorders (20 papers). The work is most often cited by research in Developmental Biology (125 citations), Cellular and Molecular Neuroscience (682 citations) and Cognitive Neuroscience (528 citations). Philip S. Ulinski has collaborated with scholars based in United States. Frequent co-authors include Dennis M. Dacey, E. H. Peterson, Carey D. Balaban, Martin I. Sereno, Bijoy K. Ghosh, Kathleen Mulligan, Zoran Nenadić, Michael J. Fowler, N. Traverse Slater and Linda Larson‐Prior. Their work appears in journals such as The Journal of Comparative Neurology, Journal of Neurophysiology and Brain Research.
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.