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

William C. Kwan
Comparison fields: 5 of 58
  • Cognitive Neuroscience 288
  • Molecular Biology 141
  • Cellular and Molecular Neuroscience 123
  • Neurology 49
  • Radiology, Nuclear Medicine and Imaging 45
Claire E. Warner Australia
Ceren Ergorul United States
Harriet R. Friedman United States
Jérôme Ribot France
Brenda L. Shook United States
Qiaoling Cui United States
Elisia Rodríguez‐Veiga Spain
Grégory Gauvain France
Taihei Ninomiya Japan
Sally A. Marik United States
Claire E. Warner Australia View profile →
Citations per field, relative to William C. Kwan
William C. Kwan · 1×
Citations per year, relative to William C. Kwan
William C. Kwan · 1×

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
# Work Indexed citations
1 1
2 13
3 1
4 14
5 8
6 17
7 16
8 25
9 25
10 28
11 41
12 12
13 10
14 2
15 75
16 29
17 3
18 49
19 83

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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2026