Eric Sun

2.0k total citations · 1 hit paper
36 papers, 1.2k citations indexed

About

Eric Sun is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Eric Sun has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Molecular Biology and 8 papers in Signal Processing. Recurrent topics in Eric Sun's work include Speech Recognition and Synthesis (13 papers), Single-cell and spatial transcriptomics (7 papers) and Music and Audio Processing (7 papers). Eric Sun is often cited by papers focused on Speech Recognition and Synthesis (13 papers), Single-cell and spatial transcriptomics (7 papers) and Music and Audio Processing (7 papers). Eric Sun collaborates with scholars based in United States, Israel and United Kingdom. Eric Sun's co-authors include Cameron Marlow, Lars Bäckström, Itamar Rosenn, Thomas Lento, Anne Brunet, Jinyu Li, Yifan Gong, Zhong Meng, James Zou and Liang Lu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Eric Sun

32 papers receiving 1.1k citations

Hit Papers

Find me if you can 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Sun United States 14 316 293 283 172 170 36 1.2k
Tatiana von Landesberger Germany 18 169 0.5× 273 0.9× 348 1.2× 365 2.1× 85 0.5× 72 1.5k
Siyuan Liu United States 21 347 1.1× 291 1.0× 504 1.8× 120 0.7× 46 0.3× 76 1.4k
Daniel Archambault United Kingdom 19 37 0.1× 465 1.6× 305 1.1× 252 1.5× 61 0.4× 66 1.3k
Jason Baldridge United States 30 175 0.6× 130 0.4× 2.2k 7.9× 200 1.2× 84 0.5× 89 3.0k
Çağatay Turkay United Kingdom 19 45 0.1× 64 0.2× 289 1.0× 175 1.0× 55 0.3× 68 902
Steven Schockaert United Kingdom 20 104 0.3× 40 0.1× 869 3.1× 317 1.8× 47 0.3× 161 1.4k
Palash Goyal United States 8 78 0.2× 614 2.1× 1.1k 3.7× 88 0.5× 251 1.5× 30 1.6k
Eunyee Koh United States 19 59 0.2× 363 1.2× 762 2.7× 75 0.4× 102 0.6× 76 1.2k
Marc Streit Austria 25 23 0.1× 197 0.7× 695 2.5× 230 1.3× 276 1.6× 82 2.0k

Countries citing papers authored by Eric Sun

Since Specialization
Citations

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

Fields of papers citing papers by Eric Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Sun

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

All Works

20 of 20 papers shown
1.
Bianchi, Federico, et al.. (2025). Exploring the use of AI authors and reviewers at Agents4Science. Nature Biotechnology. 44(1). 11–14.
2.
Sharma, V., et al.. (2025). Neural bottlenecks: axon count, distribution, and conduction in the Manduca sexta neck connective. Journal of Comparative Physiology A.
4.
Sun, Eric, et al.. (2025). Brain aging and rejuvenation at single-cell resolution. Neuron. 113(1). 82–108. 7 indexed citations
5.
Xu, Lucy, et al.. (2024). Restoration of neuronal progenitors by partial reprogramming in the aged neurogenic niche. Nature Aging. 4(4). 546–567. 18 indexed citations
6.
Pogson, Angela N., Eric Sun, Robin W. Yeo, et al.. (2024). CRISPR–Cas9 screens reveal regulators of ageing in neural stem cells. Nature. 634(8036). 1150–1159. 33 indexed citations
7.
Sun, Eric, Rong Ma, & James Zou. (2024). SPRITE: improving spatial gene expression imputation with gene and cell networks. Bioinformatics. 40(Supplement_1). i521–i528. 2 indexed citations
8.
Sun, Eric, Rong Ma, Paloma Navarro Negredo, Anne Brunet, & James Zou. (2024). TISSUE: uncertainty-calibrated prediction of single-cell spatial transcriptomics improves downstream analyses. Nature Methods. 21(3). 444–454. 17 indexed citations
9.
Sun, Eric, Nimrod Rappoport, Lucy Xu, et al.. (2024). Spatial transcriptomic clocks reveal cell proximity effects in brain ageing. Nature. 638(8049). 160–171. 23 indexed citations
10.
Ma, Rong, Eric Sun, & James Zou. (2023). A spectral method for assessing and combining multiple data visualizations. Nature Communications. 14(1). 780–780. 7 indexed citations
11.
Yeo, Robin W., Eric Sun, Paloma Navarro Negredo, et al.. (2023). Chromatin accessibility dynamics of neurogenic niche cells reveal defects in neural stem cell adhesion and migration during aging. Nature Aging. 3(7). 866–893. 14 indexed citations
12.
Sun, Eric, Rong Ma, & James Zou. (2022). Dynamic visualization of high-dimensional data. Nature Computational Science. 3(1). 86–100. 11 indexed citations
13.
Buckley, Matthew T., Eric Sun, Benson M. George, et al.. (2022). Cell-type-specific aging clocks to quantify aging and rejuvenation in neurogenic regions of the brain. Nature Aging. 3(1). 121–137. 93 indexed citations
14.
Sun, Eric, Liang Lu, Zhong Meng, & Yifan Gong. (2021). Sequence-Level Self-Teaching Regularization. 20. 2945–2949.
15.
Dimitriadis, Dimitrios, Kenichi Kumatani, Yashesh Gaur, et al.. (2021). Ensemble Combination between Different Time Segmentations. 6768–6772. 2 indexed citations
16.
Sun, Eric, et al.. (2021). ImageNet-trained deep neural networks exhibit illusion-like response to the Scintillating grid. Journal of Vision. 21(11). 15–15. 13 indexed citations
17.
Sun, Eric, Jinyu Li, Zhong Meng, et al.. (2021). Improving Multilingual Transformer Transducer Models by Reducing Language Confusions. 3470–3474. 3 indexed citations
18.
Lenormand, Thomas, et al.. (2020). Sex Chromosome Degeneration by Regulatory Evolution. Current Biology. 30(15). 3001–3006.e5. 46 indexed citations
19.
Sun, Eric, Jinyu Li, & Yifan Gong. (2019). Layer Trajectory BLSTM. 1403–1407. 4 indexed citations
20.
Hellerstein, Joseph M., Vikram Sreekanti, Joseph E. Gonzalez, et al.. (2017). Ground: A Data Context Service.. Conference on Innovative Data Systems Research. 39 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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