Luca Rappez

990 total citations · 2 hit papers
7 papers, 494 citations indexed

About

Luca Rappez is a scholar working on Biophysics, Molecular Biology and Small Animals. According to data from OpenAlex, Luca Rappez has authored 7 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biophysics, 4 papers in Molecular Biology and 1 paper in Small Animals. Recurrent topics in Luca Rappez's work include Cell Image Analysis Techniques (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Single-cell and spatial transcriptomics (2 papers). Luca Rappez is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Single-cell and spatial transcriptomics (2 papers). Luca Rappez collaborates with scholars based in United States, Germany and Spain. Luca Rappez's co-authors include Theodore Alexandrov, Prasad Phapale, Sergio Triana, Katja Ovchinnikova, Rose M. Gathungu, Mathias Heikenwälder, Mira Stadler, Nicholas Stroustrup, Kevin J. Cutler and Carsen Stringer and has published in prestigious journals such as Nature Methods, Nature Protocols and Molecular Microbiology.

In The Last Decade

Luca Rappez

7 papers receiving 487 citations

Hit Papers

SpaceM reveals metabolic states of single cells 2021 2026 2022 2024 2021 2022 50 100 150 200
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. SpaceM reveals metabolic states of single cells
    2021 231 citations Luca Rappez, Mira Stadler et al. Nature Methods profile →
  2. Omnipose: a high-precision morphology-independent solution for bacterial cell segmentation
    2022 139 citations Kevin J. Cutler, Carsen Stringer 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
Luca Rappez United States 7 325 118 105 43 41 7 494
Macha Nikolski France 17 617 1.9× 48 0.4× 30 0.3× 52 1.2× 109 2.7× 54 913
Andreas Quandt Switzerland 9 259 0.8× 174 1.5× 19 0.2× 22 0.5× 14 0.3× 12 377
Daniel Walther Switzerland 6 382 1.2× 290 2.5× 44 0.4× 9 0.2× 15 0.4× 9 510
Hayley M. Bennett United Kingdom 10 310 1.0× 42 0.4× 33 0.3× 130 3.0× 24 0.6× 15 656
Matthew B. O’Rourke Australia 11 218 0.7× 183 1.6× 32 0.3× 9 0.2× 21 0.5× 28 417
Vanessa Petit France 10 247 0.8× 89 0.8× 32 0.3× 15 0.3× 20 0.5× 14 466
Sergio Triana Germany 9 300 0.9× 102 0.9× 29 0.3× 13 0.3× 41 1.0× 15 737
Rui Qiao Canada 5 294 0.9× 172 1.5× 8 0.1× 26 0.6× 9 0.2× 8 399
Jennifer J. Smith United States 20 1.4k 4.3× 56 0.5× 34 0.3× 27 0.6× 74 1.8× 28 1.6k
Viktoria Dorfer Austria 9 401 1.2× 261 2.2× 14 0.1× 20 0.5× 18 0.4× 23 562

Countries citing papers authored by Luca Rappez

Since Specialization
Citations

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

Fields of papers citing papers by Luca Rappez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Rappez

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

All Works

7 of 7 papers shown
1.
Cutler, Kevin J., Carsen Stringer, Luca Rappez, et al.. (2022). Omnipose: a high-precision morphology-independent solution for bacterial cell segmentation. Nature Methods. 19(11). 1438–1448. 139 indexed citations breakdown →
2.
Molenaar, Martijn R., Mohammed Shahraz, Jeany Delafiori, et al.. (2022). Increasing quantitation in spatial single-cell metabolomics by using fluorescence as ground truth. Frontiers in Molecular Biosciences. 9. 1021889–1021889. 8 indexed citations
3.
Rappez, Luca, Mira Stadler, Sergio Triana, et al.. (2021). SpaceM reveals metabolic states of single cells. Nature Methods. 18(7). 799–805. 231 indexed citations breakdown →
4.
Rappez, Luca, et al.. (2020). DeepCycle reconstructs a cyclic cell cycle trajectory from unsegmented cell images using convolutional neural networks. Molecular Systems Biology. 16(10). e9474–e9474. 17 indexed citations
5.
Rappez, Luca, et al.. (2019). PySpacell: A Python Package for Spatial Analysis of Cell Images. Cytometry Part A. 97(3). 288–295. 8 indexed citations
6.
Protsyuk, Ivan, Alexey V. Melnik, Louis‐Félix Nothias, et al.. (2017). 3D molecular cartography using LC–MS facilitated by Optimus and 'ili software. Nature Protocols. 13(1). 134–154. 63 indexed citations
7.
Fioravanti, Antonella, Kévin Willemart, Luca Rappez, et al.. (2016). CtrA controls cell division and outer membrane composition of the pathogen Brucella abortus. Molecular Microbiology. 103(5). 780–797. 28 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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