Richard Gao

5.5k total citations · 3 hit papers
18 papers, 2.6k citations indexed

About

Richard Gao is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Richard Gao has authored 18 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Richard Gao's work include Neural dynamics and brain function (12 papers), EEG and Brain-Computer Interfaces (4 papers) and Functional Brain Connectivity Studies (4 papers). Richard Gao is often cited by papers focused on Neural dynamics and brain function (12 papers), EEG and Brain-Computer Interfaces (4 papers) and Functional Brain Connectivity Studies (4 papers). Richard Gao collaborates with scholars based in United States, Germany and Canada. Richard Gao's co-authors include Bradley Voytek, Erik Peterson, Thomas Donoghue, Avgusta Y. Shestyuk, Robert T. Knight, Torben Noto, Paroma Varma, Joni D. Wallis, Antonio H. Lara and Ruud L. van den Brink and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and NeuroImage.

In The Last Decade

Richard Gao

17 papers receiving 2.5k citations

Hit Papers

Parameterizing neural power spectra into periodic and ape... 2017 2026 2020 2023 2020 2017 2019 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Parameterizing neural power spectra into periodic and aperiodic components
    2020 1.0k citations Thomas Donoghue, Erik Peterson et al. Nature Neuroscience profile →
  2. Inferring synaptic excitation/inhibition balance from field potentials
    2017 541 citations Richard Gao, Erik Peterson et al. NeuroImage profile →
  3. Complex Oscillatory Waves Emerging from Cortical Organoids Model Early Human Brain Network Development
    2019 538 citations Cleber A. Trujillo, Richard Gao et al. Cell stem cell profile →

Peers

Richard Gao
Stephanie R. Jones United States
Karunesh Ganguly United States
H. Donald Gage United States
Taufik A. Valiante Canada
Maria Blatow Germany
Ralf A. W. Galuske Germany
Yasuo Kubota United States
Yuguo Yu China
Annabelle C. Singer United States
Hajime Mushiake Japan
Stephanie R. Jones United States
Richard Gao
Citations per year, relative to Richard Gao Richard Gao (= 1×) peers Stephanie R. Jones

Countries citing papers authored by Richard Gao

Since Specialization
Citations

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

Fields of papers citing papers by Richard Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Gao

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

All Works

18 of 18 papers shown
1.
Levenstein, Daniel, et al.. (2025). Processes and measurements: a framework for understanding neural oscillations in field potentials. Trends in Cognitive Sciences. 29(5). 448–466. 3 indexed citations
2.
Gao, Richard, et al.. (2025). Modeling conditional distributions of neural and behavioral data with masked variational autoencoders. Cell Reports. 44(3). 115338–115338.
3.
Macke, Jakob H., et al.. (2024). Generating realistic neurophysiological time series with denoising diffusion probabilistic models. Patterns. 5(9). 101047–101047. 9 indexed citations
4.
Gao, Richard, et al.. (2024). Latent Diffusion for Neural Spiking Data. 118119–118154. 1 indexed citations
5.
Gao, Richard, et al.. (2023). Simulation-based inference for efficient identification of generative models in computational connectomics. PLoS Computational Biology. 19(9). e1011406–e1011406. 4 indexed citations
6.
Lueckmann, Jan-Matthis, et al.. (2022). Flexible and efficient simulation-based inference for models of decision-making. eLife. 11. 24 indexed citations
7.
Gao, Richard, et al.. (2021). Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Donoghue, Thomas, Erik Peterson, Paroma Varma, et al.. (2020). Parameterizing neural power spectra into periodic and aperiodic components. Nature Neuroscience. 23(12). 1655–1665. 1047 indexed citations breakdown →
9.
Ghatak, Swagata, Nima Dolatabadi, Richard Gao, et al.. (2020). NitroSynapsin ameliorates hypersynchronous neural network activity in Alzheimer hiPSC models. Molecular Psychiatry. 26(10). 5751–5765. 58 indexed citations
10.
Gao, Richard, Ruud L. van den Brink, Thomas Pfeffer, & Bradley Voytek. (2020). Neuronal timescales are functionally dynamic and shaped by cortical microarchitecture. eLife. 9. 151 indexed citations
11.
Gao, Richard, et al.. (2020). rdgao/field-echos: post-publication. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
12.
Cole, Scott R., Thomas Donoghue, Richard Gao, & Bradley Voytek. (2019). NeuroDSP: A package for neural digital signal processing. The Journal of Open Source Software. 4(36). 1272–1272. 35 indexed citations
13.
Núñez, Rafael, et al.. (2019). What happened to cognitive science?. Nature Human Behaviour. 3(8). 782–791. 84 indexed citations
14.
Moore, Spencer M., Jason S. Seidman, Jacob Ellegood, et al.. (2019). Setd5 haploinsufficiency alters neuronal network connectivity and leads to autistic-like behaviors in mice. Translational Psychiatry. 9(1). 24–24. 25 indexed citations
15.
Trujillo, Cleber A., Richard Gao, Priscilla D. Negraes, et al.. (2019). Complex Oscillatory Waves Emerging from Cortical Organoids Model Early Human Brain Network Development. Cell stem cell. 25(4). 558–569.e7. 538 indexed citations breakdown →
16.
Gao, Richard, Thomas Donoghue, & Bradley Voytek. (2017). Automated Generation of Cognitive Ontology via Web Text-Mining.. Cognitive Science. 2 indexed citations
17.
Gao, Richard, Erik Peterson, & Bradley Voytek. (2017). Inferring synaptic excitation/inhibition balance from field potentials. NeuroImage. 158. 70–78. 541 indexed citations breakdown →
18.
Gao, Richard. (2015). Interpreting the electrophysiological power spectrum. Journal of Neurophysiology. 115(2). 628–630. 51 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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