Rosa Cao

665 total citations
14 papers, 371 citations indexed

About

Rosa Cao is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rosa Cao has authored 14 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rosa Cao's work include Neural dynamics and brain function (8 papers), Embodied and Extended Cognition (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Rosa Cao is often cited by papers focused on Neural dynamics and brain function (8 papers), Embodied and Extended Cognition (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Rosa Cao collaborates with scholars based in United States, United Kingdom and Australia. Rosa Cao's co-authors include Christopher I. Moore, Peter Godfrey‐Smith, Nicholas Shea, Daniel Yamins, Ulf Knoblich, Raddy L. Ramos, Jared Warren, Bryan Higashikubo, Mark T. Nelson and Joshua C. Brumberg and has published in prestigious journals such as Journal of Neurophysiology, Philosophy of Science and Synthese.

In The Last Decade

Rosa Cao

13 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rosa Cao United States	9	219	69	44	35	35	14	371
James Newman United States	7	351 1.6×	48 0.7×	11 0.3×	14 0.4×	12 0.3×	11	431
C. U. M. Smith United Kingdom	13	93 0.4×	58 0.8×	69 1.6×	70 2.0×	31 0.9×	55	470
Rajeev Rikhye United States	9	379 1.7×	193 2.8×	3 0.1×	94 2.7×	17 0.5×	15	556
Kentaro Miyamoto Japan	10	401 1.8×	99 1.4×	4 0.1×	35 1.0×	7 0.2×	30	510
Rajat S. Shivacharan United States	11	238 1.1×	190 2.8×	3 0.1×	25 0.7×	54 1.5×	16	391
Louis-David Lord United Kingdom	12	343 1.6×	87 1.3×	2 0.0×	44 1.3×	18 0.5×	15	538
Gilles de Hollander Netherlands	14	302 1.4×	81 1.2×	4 0.1×	11 0.3×	139 4.0×	24	513
Chen Song United Kingdom	17	805 3.7×	68 1.0×	3 0.1×	64 1.8×	7 0.2×	29	934
Frank Huethe Germany	10	324 1.5×	94 1.4×		20 0.6×	40 1.1×	12	468

Countries citing papers authored by Rosa Cao

Since Specialization

Citations

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

Fields of papers citing papers by Rosa Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Cao

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Cao, Rosa & Daniel Yamins. (2024). Explanatory models in neuroscience, Part 1: Taking mechanistic abstraction seriously. Cognitive Systems Research. 87. 101244–101244. 7 indexed citations

Cao, Rosa & Daniel Yamins. (2023). Explanatory models in neuroscience, Part 2: Functional intelligibility and the contravariance principle. Cognitive Systems Research. 85. 101200–101200. 11 indexed citations

Cao, Rosa & Jared Warren. (2023). Neural decoding, the Atlantis machine, and zombies. Philosophical Perspectives. 37(1). 69–89.

Cao, Rosa & Jared Warren. (2023). Mental representation, “standing-in-for”, and internal models. Philosophical Psychology. 38(2). 379–396. 1 indexed citations

Cao, Rosa. (2022). Putting representations to use. Synthese. 200(2). 17 indexed citations

Cao, Rosa. (2022). Multiple realizability and the spirit of functionalism. Synthese. 200(6). 15 indexed citations

Cao, Rosa. (2020). New Labels for Old Ideas: Predictive Processing and the Interpretation of Neural Signals. Review of Philosophy and Psychology. 11(3). 517–546. 21 indexed citations

Cao, Rosa. (2020). Crowding out Memetic Explanation. Philosophy of Science. 87(5). 1160–1171. 1 indexed citations

Shea, Nicholas, Peter Godfrey‐Smith, & Rosa Cao. (2017). Content in Simple Signalling Systems. Research Portal (King's College London). 2 indexed citations

10.

Shea, Nicholas, Peter Godfrey‐Smith, & Rosa Cao. (2016). Content in Simple Signalling Systems. The British Journal for the Philosophy of Science. 69(4). 1009–1035. 34 indexed citations

11.

Cao, Rosa. (2014). Signaling in the Brain: In Search of Functional Units. Philosophy of Science. 81(5). 891–901. 10 indexed citations

12.

Cao, Rosa. (2011). A teleosemantic approach to information in the brain. Biology & Philosophy. 27(1). 49–71. 59 indexed citations

13.

Cao, Rosa, Bryan Higashikubo, Jessica A. Cardin, et al.. (2009). Pinacidil induces vascular dilation and hyperemia in vivo and does not impact biophysical properties of neurons and astrocytes in vitro. Cleveland Clinic Journal of Medicine. 76(4 suppl 2). S80–S85. 8 indexed citations

14.

Moore, Christopher I. & Rosa Cao. (2007). The Hemo-Neural Hypothesis: On The Role of Blood Flow in Information Processing. Journal of Neurophysiology. 99(5). 2035–2047. 185 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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