Rosa Cao

682 citations
15 papers · 383 · h-index 9

Impact in

Papers in

Rosa Cao

13 papers receiving 366 citations

Peers

Rosa Cao
Comparison fields: 5 of 69
  • Cognitive Neuroscience 219
  • History and Philosophy of Science 45
  • Neurology 30
  • Cellular and Molecular Neuroscience 68
  • Developmental Neuroscience 10
Replace C. U. M. Smith with:
C. U. M. Smith United Kingdom
James Newman United States
В. Б. Стрелец Russia
Rajeev Rikhye United States
Judith Pascoe United States
W. Watson Alberts United States
Chen Song United Kingdom
Graham Findlay United States
Michele Ferrante United States
Rosa Cao relative to C. U. M. Smith United Kingdom C. U. M. Smith's profile →
Citations per field
00.5×10×20×30×38×
C. U. M. Smith · 1×
Citations per year

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-authors

The 11 scholars most cited alongside Rosa Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rosa Cao Line = papers co-authored together Rosa Cao links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2007187
2 201160
3 201635
4 202022
5 202219
6 202219
7 202313
8 20149
9 20098
10 20247
11
Content in Simple Signalling Systems
20172
12 20201
13 20231
14 20230
15 20250

About Rosa Cao

Rosa Cao is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, History and Philosophy of Science and Social Psychology, having authored 15 papers that have together received 383 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Embodied and Extended Cognition (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Philosophy and History of Science (3 papers), Functional Brain Connectivity Studies (3 papers), Philosophy and Theoretical Science (2 papers), Receptor Mechanisms and Signaling (2 papers) and Evolutionary Game Theory and Cooperation (2 papers). The work is most often cited by research in Cognitive Neuroscience (219 citations), History and Philosophy of Science (45 citations), Neurology (30 citations), Cellular and Molecular Neuroscience (68 citations) and Developmental Neuroscience (10 citations). Rosa Cao has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Christopher I. Moore, Nicholas Shea, Peter Godfrey‐Smith, Daniel Yamins, Jessica A. Cardin, Raddy L. Ramos, Jared Warren, Mark T. Nelson, Joshua C. Brumberg and Bryan Higashikubo. Their work appears in journals such as Cognitive Systems Research, Philosophy of Science, Synthese, Biology & Philosophy and Philosophical Psychology.

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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