Philip S. Ulinski

2.1k total citations
69 papers, 1.3k citations indexed

About

Philip S. Ulinski is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Philip S. Ulinski has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 30 papers in Cognitive Neuroscience and 27 papers in Molecular Biology. Recurrent topics in Philip S. Ulinski's work include Neural dynamics and brain function (26 papers), Neurobiology and Insect Physiology Research (24 papers) and Retinal Development and Disorders (20 papers). Philip S. Ulinski is often cited by papers focused on Neural dynamics and brain function (26 papers), Neurobiology and Insect Physiology Research (24 papers) and Retinal Development and Disorders (20 papers). Philip S. Ulinski collaborates with scholars based in United States. Philip S. Ulinski's 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, Linda Larson‐Prior and N. Traverse Slater and has published in prestigious journals such as The Journal of Comparative Neurology, Journal of Neurophysiology and Brain Research.

In The Last Decade

Philip S. Ulinski

67 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philip S. Ulinski United States 24 682 528 426 207 180 69 1.3k
Paul Grobstein United States 26 574 0.8× 768 1.5× 381 0.9× 141 0.7× 166 0.9× 54 1.5k
Katherine V. Fite United States 25 909 1.3× 578 1.1× 1.0k 2.4× 221 1.1× 197 1.1× 68 2.0k
D. Miceli France 28 1.1k 1.6× 538 1.0× 909 2.1× 204 1.0× 203 1.1× 84 2.0k
Masahiko Satou Japan 24 597 0.9× 274 0.5× 171 0.4× 295 1.4× 143 0.8× 77 1.6k
Edward R. Gruberg United States 18 681 1.0× 404 0.8× 554 1.3× 89 0.4× 114 0.6× 44 1.1k
N. P. Vesselkin Russia 20 742 1.1× 200 0.4× 668 1.6× 128 0.6× 259 1.4× 78 1.3k
Harald Luksch Germany 23 778 1.1× 535 1.0× 567 1.3× 264 1.3× 77 0.4× 86 1.8k
Gyula Lázár Hungary 23 753 1.1× 296 0.6× 544 1.3× 81 0.4× 136 0.8× 46 1.4k
N. Dieringer Germany 32 855 1.3× 593 1.1× 591 1.4× 105 0.5× 143 0.8× 72 2.5k
J.P. Rio France 20 587 0.9× 151 0.3× 557 1.3× 86 0.4× 192 1.1× 61 1.1k

Countries citing papers authored by Philip S. Ulinski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Wang, Wenxue, Sean X. Luo, Bijoy K. Ghosh, & Philip S. Ulinski. (2006). GENERATION OF THE RECEPTIVE FIELDS OF SUBPIAL CELLS IN TURTLE VISUAL CORTEX. Journal of Integrative Neuroscience. 5(4). 561–593. 2 indexed citations
2.
Du, Xiuxia, Bijoy K. Ghosh, & Philip S. Ulinski. (2005). Encoding and Decoding Target Locations With Waves in the Turtle Visual Cortex. IEEE Transactions on Biomedical Engineering. 52(4). 566–577. 13 indexed citations
3.
Wang, Wenxue, et al.. (2005). Two Cortical Circuits Control Propagating Waves in Visual Cortex. Journal of Computational Neuroscience. 19(3). 263–289. 9 indexed citations
4.
Du, Xiuxia, Bijoy K. Ghosh, & Philip S. Ulinski. (2004). Decoding the position of a visual stimulus from the cortical waves of turtles. 1. 477–482. 2 indexed citations
5.
Ulinski, Philip S., Wenxue Wang, & Bijoy K. Ghosh. (2004). Generation and control of propagating waves in visual cortex. 6. 6429–6434.
6.
Nenadić, Zoran, Bijoy K. Ghosh, & Philip S. Ulinski. (2003). Propagating Waves in Visual Cortex: A Large-Scale Model of Turtle Visual Cortex. Journal of Computational Neuroscience. 14(2). 161–184. 28 indexed citations
7.
Ulinski, Philip S., Edward G. Jones, & Alan Peters. (1999). Models of cortical circuits. Medical Entomology and Zoology. 8 indexed citations
8.
Larson‐Prior, Linda, Philip S. Ulinski, & N. Traverse Slater. (1991). Excitatory amino acid receptor-mediated transmission in geniculocortical and intracortical pathways within visual cortex. Journal of Neurophysiology. 66(1). 293–306. 30 indexed citations
9.
Mulligan, Kathleen & Philip S. Ulinski. (1990). Organization of geniculocortical projections in turtles: Isoazimuth lamellae in the visual cortex. The Journal of Comparative Neurology. 296(4). 531–547. 38 indexed citations
10.
Ulinski, Philip S., et al.. (1986). Morphology of neurons in the dorsal lateral geniculate complex in turtles of the genera Pseudemys and Chrysemys. The Journal of Comparative Neurology. 253(4). 440–465. 18 indexed citations
11.
Dacey, Dennis M. & Philip S. Ulinski. (1986). Optic tectum of the eastern garter snake, Thamnophis sirtalis. V. Morphology of brainstem afferents and general discussion. The Journal of Comparative Neurology. 245(4). 423–453. 25 indexed citations
12.
Ulinski, Philip S.. (1985). Morphology of retinogeniculate terminals in the turtle pseudemys scripta elegans. The Society for Neuroscience Abstracts. 11(2). 1013. 1 indexed citations
13.
Sereno, Martin I. & Philip S. Ulinski. (1985). Tectoreticular pathways in the turtle, Pseudemys scripta. II. Morphology of tectoreticular cells. The Journal of Comparative Neurology. 233(1). 91–114. 14 indexed citations
14.
Ulinski, Philip S., et al.. (1982). Organization of nucleus rotundus, a tectofugal thalamic nucleus in turtles. III. The tectorotundal projection. The Journal of Comparative Neurology. 209(2). 208–223. 17 indexed citations
15.
Balaban, Carey D. & Philip S. Ulinski. (1981). Organization of thalamic afferents to anterior dorsal ventricular ridge in turtles. II. Properties of the rotundo‐dorsal map. The Journal of Comparative Neurology. 200(1). 131–150. 23 indexed citations
16.
Ulinski, Philip S., et al.. (1980). Intrinsic organization of snake lateral cortex. Journal of Morphology. 165(1). 85–116. 15 indexed citations
17.
Ulinski, Philip S.. (1979). Intrinsic organization of snake dorsomedial cortex: An electron microscopic and golgi study. Journal of Morphology. 161(2). 185–210. 26 indexed citations
18.
Ulinski, Philip S.. (1977). Tectal efferents in the banded water snake, Natrix sipedon. The Journal of Comparative Neurology. 173(2). 251–273. 68 indexed citations
19.
Ulinski, Philip S.. (1974). Quantitative studies on motoneurons. II. Spatial and dimensional organization of hypoglossal motoneurons in the boa constrictor, Constrictor constrictor. The Journal of Comparative Neurology. 156(4). 471–484. 7 indexed citations
20.
Johnson, John Irwin, et al.. (1972). Gracile nucleus absent in adult opossums after leg removal in infancy. Brain Research. 38(2). 421–424. 37 indexed citations

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.

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