Carl Chiang

26 total papers · 1.2k total citations
14 papers, 843 citations indexed

About

Carl Chiang is a scholar working on Molecular Biology, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Carl Chiang has authored 14 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Psychiatry and Mental health and 4 papers in Cognitive Neuroscience. Recurrent topics in Carl Chiang's work include Dementia and Cognitive Impairment Research (5 papers), Neural dynamics and brain function (3 papers) and 14-3-3 protein interactions (2 papers). Carl Chiang is often cited by papers focused on Dementia and Cognitive Impairment Research (5 papers), Neural dynamics and brain function (3 papers) and 14-3-3 protein interactions (2 papers). Carl Chiang collaborates with scholars based in United States, Switzerland and Spain. Carl Chiang's co-authors include Astrid von Stein, Peter König, Ann M. Saunders, Marina Zvartau‐Hind, Sharon Sawchak, Michael C. Irizarry, Conn Harrington, J. Davies, Maike Gold and C H van Dyck and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neurology and Behavioral and Brain Sciences.

In The Last Decade

Carl Chiang

12 papers receiving 817 citations

Hit Papers

Top-down processing media... 2000 2026 2008 2017 2000 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carl Chiang 594 163 150 77 65 14 843
Lin Ma 259 0.4× 141 0.9× 132 0.9× 123 1.6× 113 1.7× 20 827
Sonia R. Kameda 430 0.7× 373 2.3× 145 1.0× 130 1.7× 41 0.6× 21 890
Areg Barsegyan 420 0.7× 277 1.7× 52 0.3× 88 1.1× 27 0.4× 15 783
Ana Cervera‐Ferri 232 0.4× 193 1.2× 221 1.5× 106 1.4× 104 1.6× 26 795
Blaise deB. Frederick 432 0.7× 252 1.5× 145 1.0× 170 2.2× 79 1.2× 12 906
Yasufumi Tanaka 283 0.5× 104 0.6× 58 0.4× 176 2.3× 63 1.0× 25 781
Amber T. Levine 327 0.6× 278 1.7× 208 1.4× 188 2.4× 71 1.1× 17 820
Sergio Domínguez-López 250 0.4× 313 1.9× 157 1.0× 163 2.1× 45 0.7× 20 834
Linda Patterson 369 0.6× 139 0.9× 118 0.8× 78 1.0× 258 4.0× 16 1.1k
Negin Holland 286 0.5× 213 1.3× 213 1.4× 82 1.1× 123 1.9× 32 776

Countries citing papers authored by Carl Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Carl Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carl Chiang. 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 Carl Chiang. The network helps show where Carl Chiang may publish in the future.

Co-authorship network of co-authors of Carl Chiang

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

All Works

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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