William C. Kwan

788 total citations
19 papers, 452 citations indexed

About

William C. Kwan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, William C. Kwan has authored 19 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in William C. Kwan's work include Visual perception and processing mechanisms (9 papers), Retinal Development and Disorders (7 papers) and Neural dynamics and brain function (5 papers). William C. Kwan is often cited by papers focused on Visual perception and processing mechanisms (9 papers), Retinal Development and Disorders (7 papers) and Neural dynamics and brain function (5 papers). William C. Kwan collaborates with scholars based in Australia, United States and Italy. William C. Kwan's co-authors include James A. Bourne, Claire E. Warner, Iñaki-Carril Mundiñano, Jihane Homman‐Ludiye, Gary F. Egan, Leigh A. Johnston, David Wright, Anita E. Hendrickson, Jing Huang and Daniel E. Possin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

William C. Kwan

19 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William C. Kwan Australia 13 288 141 123 49 45 19 452
Claire E. Warner Australia 6 193 0.7× 102 0.7× 112 0.9× 32 0.7× 45 1.0× 6 316
Ceren Ergorul United States 8 235 0.8× 113 0.8× 138 1.1× 50 1.0× 33 0.7× 9 472
Harriet R. Friedman United States 7 319 1.1× 57 0.4× 110 0.9× 52 1.1× 42 0.9× 7 413
Jérôme Ribot France 11 194 0.7× 103 0.7× 181 1.5× 50 1.0× 14 0.3× 22 385
Brenda L. Shook United States 9 362 1.3× 103 0.7× 146 1.2× 134 2.7× 23 0.5× 12 543
Qiaoling Cui United States 12 208 0.7× 223 1.6× 600 4.9× 38 0.8× 18 0.4× 18 791
Elisia Rodríguez‐Veiga Spain 10 182 0.6× 80 0.6× 212 1.7× 41 0.8× 13 0.3× 14 417
Grégory Gauvain France 9 138 0.5× 249 1.8× 274 2.2× 30 0.6× 21 0.5× 11 423
Taihei Ninomiya Japan 14 360 1.3× 32 0.2× 123 1.0× 58 1.2× 33 0.7× 27 516
Sally A. Marik United States 7 194 0.7× 99 0.7× 217 1.8× 60 1.2× 19 0.4× 8 351

Countries citing papers authored by William C. Kwan

Since Specialization
Citations

This map shows the geographic impact of William C. Kwan'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 William C. Kwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William C. Kwan more than expected).

Fields of papers citing papers by William C. Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William C. Kwan. 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 William C. Kwan. The network helps show where William C. Kwan may publish in the future.

Co-authorship network of co-authors of William C. Kwan

This figure shows the co-authorship network connecting the top 25 collaborators of William C. Kwan. A scholar is included among the top collaborators of William C. Kwan 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 William C. Kwan. William C. Kwan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Kwan, William C., et al.. (2023). Timing is Everything: Stochastic Optogenetic Stimulation Reduces Adaptation in Retinal Ganglion Cells. PubMed. 123. 1–4. 1 indexed citations
2.
Boghdadi, Anthony G., Joshua Spurrier, Leon Teo, et al.. (2021). NogoA-expressing astrocytes limit peripheral macrophage infiltration after ischemic brain injury in primates. Nature Communications. 12(1). 13 indexed citations
3.
Teo, Leon, Anthony G. Boghdadi, Jihane Homman‐Ludiye, et al.. (2021). Replicating infant-specific reactive astrocyte functions in the injured adult brain. Progress in Neurobiology. 204. 102108–102108. 1 indexed citations
4.
Grünert, Ulrike, Sammy Lee, William C. Kwan, et al.. (2021). Retinal ganglion cells projecting to superior colliculus and pulvinar in marmoset. Brain Structure and Function. 226(9). 2745–2762. 14 indexed citations
5.
Kwan, William C., et al.. (2021). Visual Cortical Area MT Is Required for Development of the Dorsal Stream and Associated Visuomotor Behaviors. Journal of Neuroscience. 41(39). 8197–8209. 8 indexed citations
6.
Ciccarelli, Alessandro, et al.. (2021). Sexually dimorphic perineuronal nets in the rodent and primate reproductive circuit. The Journal of Comparative Neurology. 529(13). 3274–3291. 17 indexed citations
7.
Kwan, William C., et al.. (2020). Mapping the neural circuitry of predator fear in the nonhuman primate. Brain Structure and Function. 226(1). 195–205. 16 indexed citations
8.
Homman‐Ludiye, Jihane, Iñaki-Carril Mundiñano, William C. Kwan, & James A. Bourne. (2019). Extensive Connectivity Between the Medial Pulvinar and the Cortex Revealed in the Marmoset Monkey. Cerebral Cortex. 30(3). 1797–1812. 25 indexed citations
9.
Mundiñano, Iñaki-Carril, William C. Kwan, & James A. Bourne. (2019). Retinotopic specializations of cortical and thalamic inputs to area MT. Proceedings of the National Academy of Sciences. 116(46). 23326–23331. 25 indexed citations
10.
Kwan, William C., Iñaki-Carril Mundiñano, Sammy Lee, et al.. (2018). Unravelling the subcortical and retinal circuitry of the primate inferior pulvinar. The Journal of Comparative Neurology. 527(3). 558–576. 28 indexed citations
11.
Mundiñano, Iñaki-Carril, William C. Kwan, Diego Vidaurre, et al.. (2018). Transient visual pathway critical for normal development of primate grasping behavior. Proceedings of the National Academy of Sciences. 115(6). 1364–1369. 41 indexed citations
12.
Homman‐Ludiye, Jihane, et al.. (2018). Full: Ontogenesis and development of the nonhuman primate pulvinar. The Journal of Comparative Neurology. 526(17). 2870–2883. 12 indexed citations
13.
Homman‐Ludiye, Jihane, et al.. (2017). Ephrin-A2 regulates excitatory neuron differentiation and interneuron migration in the developing neocortex. Scientific Reports. 7(1). 11813–11813. 10 indexed citations
14.
Kwan, William C., et al.. (2017). Facilitating player progression by implementing procedural music in videogames. 2328–2333. 2 indexed citations
15.
Warner, Claire E., William C. Kwan, David Wright, et al.. (2015). Preservation of Vision by the Pulvinar following Early-Life Primary Visual Cortex Lesions. Current Biology. 25(4). 424–434. 75 indexed citations
16.
Mundiñano, Iñaki-Carril, William C. Kwan, & James A. Bourne. (2015). Mapping the mosaic sequence of primate visual cortical development. Frontiers in Neuroanatomy. 9. 132–132. 29 indexed citations
17.
Hendrickson, Anita E., Daniel E. Possin, William C. Kwan, Jing Huang, & James A. Bourne. (2015). The temporal profile of retinal cell genesis in the marmoset monkey. The Journal of Comparative Neurology. 524(6). 1193–1207. 3 indexed citations
18.
Hendrickson, Anita E., Claire E. Warner, Daniel E. Possin, et al.. (2013). Retrograde transneuronal degeneration in the retina and lateral geniculate nucleus of the V1-lesioned marmoset monkey. Brain Structure and Function. 220(1). 351–360. 49 indexed citations
19.
Warner, Claire E., William C. Kwan, & James A. Bourne. (2012). The Early Maturation of Visual Cortical Area MT is Dependent on Input from the Retinorecipient Medial Portion of the Inferior Pulvinar. Journal of Neuroscience. 32(48). 17073–17085. 83 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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