Laura E. Suárez

2.2k total citations · 3 hit papers
8 papers, 1.0k citations indexed

About

Laura E. Suárez is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Laura E. Suárez has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Artificial Intelligence. Recurrent topics in Laura E. Suárez's work include Neural dynamics and brain function (6 papers), Functional Brain Connectivity Studies (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Laura E. Suárez is often cited by papers focused on Neural dynamics and brain function (6 papers), Functional Brain Connectivity Studies (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Laura E. Suárez collaborates with scholars based in Canada, United States and United Kingdom. Laura E. Suárez's co-authors include Bratislav Mišić, Ross D. Markello, Richard F. Betzel, Golia Shafiei, Martijn P. van den Heuvel, Patric Hagmann, Boris C. Bernhardt, R. Nathan Spreng, Casey Paquola and Guillaume Lajoie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Methods.

In The Last Decade

Laura E. Suárez

8 papers receiving 997 citations

Hit Papers

Linking Structure and Function in Macroscale Brain Networks 2019 2026 2021 2023 2020 2019 2022 100 200 300 400
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. Linking Structure and Function in Macroscale Brain Networks
    2020 437 citations Laura E. Suárez, Ross D. Markello et al. Trends in Cognitive Sciences profile →
  2. Gradients of structure–function tethering across neocortex
    2019 291 citations Laura E. Suárez, Ross D. Markello et al. Proceedings of the National Academy of Sciences profile →
  3. neuromaps: structural and functional interpretation of brain maps
    2022 164 citations Ross D. Markello, Justine Y. Hansen et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura E. Suárez Canada 6 853 402 95 84 74 8 1.0k
Kevin Aquino Australia 17 1.0k 1.2× 442 1.1× 132 1.4× 72 0.9× 26 0.4× 35 1.2k
Maxwell A. Bertolero United States 11 980 1.1× 320 0.8× 112 1.2× 177 2.1× 25 0.3× 20 1.2k
Andreas Spiegler France 13 1.2k 1.4× 354 0.9× 186 2.0× 73 0.9× 32 0.4× 23 1.3k
Peter T. Bell Australia 11 1.2k 1.4× 335 0.8× 140 1.5× 197 2.3× 18 0.2× 22 1.5k
S.C. Ponten Netherlands 8 1.0k 1.2× 218 0.5× 130 1.4× 80 1.0× 30 0.4× 9 1.1k
Ari E. Kahn United States 9 846 1.0× 226 0.6× 90 0.9× 176 2.1× 24 0.3× 21 1.1k
Jean‐Philippe Thivierge Canada 14 931 1.1× 248 0.6× 343 3.6× 63 0.8× 127 1.7× 52 1.2k
Takuya Ito United States 17 1.2k 1.4× 282 0.7× 52 0.5× 227 2.7× 23 0.3× 22 1.3k
Ravi D. Mill United States 14 946 1.1× 198 0.5× 92 1.0× 170 2.0× 17 0.2× 26 1.0k
Michael Vourkas Greece 13 1.0k 1.2× 192 0.5× 65 0.7× 174 2.1× 16 0.2× 15 1.1k

Countries citing papers authored by Laura E. Suárez

Since Specialization
Citations

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

Fields of papers citing papers by Laura E. Suárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura E. Suárez. 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 Laura E. Suárez. The network helps show where Laura E. Suárez may publish in the future.

Co-authorship network of co-authors of Laura E. Suárez

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

All Works

8 of 8 papers shown
1.
Luppi, Andrea I., et al.. (2024). Trainees’ perspectives and recommendations for catalyzing the next generation of NeuroAI researchers. Nature Communications. 15(1). 9152–9152. 1 indexed citations
2.
Luppi, Andrea I., Eckehard Olbrich, Laura E. Suárez, et al.. (2024). Quantifying synergy and redundancy between networks. Cell Reports Physical Science. 5(4). 101892–101892. 2 indexed citations
3.
Suárez, Laura E., et al.. (2024). Connectome-based reservoir computing with the conn2res toolbox. Nature Communications. 15(1). 656–656. 17 indexed citations
4.
Markello, Ross D., Justine Y. Hansen, Zhen-Qi Liu, et al.. (2022). neuromaps: structural and functional interpretation of brain maps. Nature Methods. 19(11). 1472–1479. 164 indexed citations breakdown →
5.
Suárez, Laura E., Yossi Yovel, Martijn P. van den Heuvel, et al.. (2022). A connectomics-based taxonomy of mammals. eLife. 11. 13 indexed citations
6.
Suárez, Laura E., Blake A. Richards, Guillaume Lajoie, & Bratislav Mišić. (2021). Learning function from structure in neuromorphic networks. Nature Machine Intelligence. 3(9). 771–786. 77 indexed citations
7.
Suárez, Laura E., Ross D. Markello, Richard F. Betzel, & Bratislav Mišić. (2020). Linking Structure and Function in Macroscale Brain Networks. Trends in Cognitive Sciences. 24(4). 302–315. 437 indexed citations breakdown →
8.
Suárez, Laura E., Ross D. Markello, Golia Shafiei, et al.. (2019). Gradients of structure–function tethering across neocortex. Proceedings of the National Academy of Sciences. 116(42). 21219–21227. 291 indexed citations breakdown →

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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