Joseph Catallini

1.5k total citations · 1 hit paper
3 papers, 567 citations indexed

About

Joseph Catallini is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Joseph Catallini has authored 3 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Cognitive Neuroscience. Recurrent topics in Joseph Catallini's work include Single-cell and spatial transcriptomics (2 papers), Genetic Associations and Epidemiology (1 paper) and Visual Attention and Saliency Detection (1 paper). Joseph Catallini is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Genetic Associations and Epidemiology (1 paper) and Visual Attention and Saliency Detection (1 paper). Joseph Catallini collaborates with scholars based in United States. Joseph Catallini's co-authors include Leonardo Collado‐Torres, Keri Martinowich, Kristen R. Maynard, Lukas M. Weber, Madhavi Tippani, Thomas M. Hyde, Stephanie C. Hicks, Joel E. Kleinman, Andrew E. Jaffe and Brianna K. Barry and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and Faculty of 1000 Research Ltd.

In The Last Decade

Joseph Catallini

2 papers receiving 562 citations

Hit Papers

Transcriptome-scale spatial gene expression in the human ... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Catallini United States 2 495 83 73 59 54 3 567
Nikhil Rao China 3 531 1.1× 89 1.1× 74 1.0× 58 1.0× 57 1.1× 5 608
Christoffer Mattsson Langseth Sweden 10 465 0.9× 96 1.2× 67 0.9× 107 1.8× 73 1.4× 14 617
Viktor Petukhov United States 8 495 1.0× 94 1.1× 92 1.3× 46 0.8× 100 1.9× 9 633
Tommaso Biancalani United States 8 303 0.6× 44 0.5× 74 1.0× 39 0.7× 54 1.0× 14 406
Alejandro Mossi Albiach Sweden 3 278 0.6× 40 0.5× 33 0.5× 57 1.0× 38 0.7× 3 352
Ganlu Hu China 9 346 0.7× 42 0.5× 28 0.4× 25 0.4× 87 1.6× 13 456
Alex R. Lederer Switzerland 4 245 0.5× 34 0.4× 35 0.5× 44 0.7× 22 0.4× 6 307
Tongtong Zhao China 10 385 0.8× 48 0.6× 39 0.5× 11 0.2× 134 2.5× 24 524
Jeea Choi United States 7 457 0.9× 30 0.4× 65 0.9× 37 0.6× 97 1.8× 8 556
Lisa M. Dratva United Kingdom 3 218 0.4× 53 0.6× 26 0.4× 45 0.8× 20 0.4× 4 285

Countries citing papers authored by Joseph Catallini

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Catallini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Catallini

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

All Works

3 of 3 papers shown
1.
Tippani, Madhavi, Joseph Catallini, Lukas M. Weber, et al.. (2023). VistoSeg : Processing utilities for high-resolution images for spatially resolved transcriptomics data. SHILAP Revista de lepidopterología. 3. 10 indexed citations
2.
Maynard, Kristen R., Leonardo Collado‐Torres, Lukas M. Weber, et al.. (2021). Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex. Nature Neuroscience. 24(3). 425–436. 557 indexed citations breakdown →
3.
Maynard, Kristen R., Lukas M. Weber, Cedric R. Uytingco, et al.. (2020). Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex. Faculty of 1000 Research Ltd. 9.

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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