Jay S. Stanley

507 total citations
6 papers, 175 citations indexed

About

Jay S. Stanley is a scholar working on Molecular Biology, Biophysics and Control and Systems Engineering. According to data from OpenAlex, Jay S. Stanley has authored 6 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Biophysics and 1 paper in Control and Systems Engineering. Recurrent topics in Jay S. Stanley's work include Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (4 papers) and Gene Regulatory Network Analysis (2 papers). Jay S. Stanley is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (4 papers) and Gene Regulatory Network Analysis (2 papers). Jay S. Stanley collaborates with scholars based in United States and Canada. Jay S. Stanley's co-authors include David van Dijk, Guy Wolf, Daniel B. Burkhardt, Smita Krishnaswamy, Kevin R. Moon, Alexander Tong, Kevan C. Herold, Ana Luisa Perdigoto, Scott Gigante and Antonio J. Giráldez and has published in prestigious journals such as Nature Biotechnology, Lecture notes in computer science and Current Opinion in Systems Biology.

In The Last Decade

Jay S. Stanley

6 papers receiving 175 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay S. Stanley United States 4 137 44 24 20 11 6 175
Graham Heimberg United States 5 209 1.5× 36 0.8× 24 1.0× 21 1.1× 12 1.1× 5 241
Anissa Guillemin France 7 213 1.6× 36 0.8× 20 0.8× 15 0.8× 18 1.6× 9 268
Hao-Chih Lee United States 7 115 0.8× 56 1.3× 19 0.8× 12 0.6× 8 0.7× 18 176
Amogh P. Jalihal United States 4 404 2.9× 45 1.0× 17 0.7× 28 1.4× 8 0.7× 8 429
Nan Papili Gao Switzerland 8 322 2.4× 38 0.9× 16 0.7× 14 0.7× 12 1.1× 10 355
Tianyi Sun China 7 248 1.8× 35 0.8× 25 1.0× 58 2.9× 8 0.7× 15 281
Nika Iremadze United States 4 258 1.9× 41 0.9× 21 0.9× 33 1.6× 14 1.3× 4 285
Jacobo Sarabia del Castillo Switzerland 4 116 0.8× 36 0.8× 10 0.4× 8 0.4× 6 0.5× 4 151
Zhuliu Li United States 5 177 1.3× 27 0.6× 24 1.0× 45 2.3× 7 0.6× 9 253
Fenglan Pang China 7 204 1.5× 34 0.8× 41 1.7× 35 1.8× 7 0.6× 9 232

Countries citing papers authored by Jay S. Stanley

Since Specialization
Citations

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

Fields of papers citing papers by Jay S. Stanley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay S. Stanley. 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 Jay S. Stanley. The network helps show where Jay S. Stanley may publish in the future.

Co-authorship network of co-authors of Jay S. Stanley

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

All Works

6 of 6 papers shown
1.
Qu, Rihao, Xiuyuan Cheng, Esen Sefik, et al.. (2024). Gene trajectory inference for single-cell data by optimal transport metrics. Nature Biotechnology. 43(2). 258–268. 12 indexed citations
2.
Burkhardt, Daniel B., Jay S. Stanley, Alexander Tong, et al.. (2021). Quantifying the effect of experimental perturbations at single-cell resolution. Nature Biotechnology. 39(5). 619–629. 84 indexed citations
3.
Tong, Alexander, David van Dijk, Jay S. Stanley, et al.. (2020). Interpretable Neuron Structuring with Graph Spectral Regularization. Lecture notes in computer science. 12080. 509–521. 3 indexed citations
4.
Lindenbaum, Ofir, Jay S. Stanley, Guy Wolf, & Smita Krishnaswamy. (2018). Geometry Based Data Generation. Neural Information Processing Systems. 31. 1400–1411. 2 indexed citations
5.
Stanley, Jay S., et al.. (2018). Manifold Alignment with Feature Correspondence.. 1 indexed citations
6.
Moon, Kevin R., Jay S. Stanley, Daniel B. Burkhardt, et al.. (2017). Manifold learning-based methods for analyzing single-cell RNA-sequencing data. Current Opinion in Systems Biology. 7. 36–46. 73 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026