Manuel D. Leonetti

6.5k total citations · 2 hit papers
33 papers, 2.7k citations indexed

About

Manuel D. Leonetti is a scholar working on Molecular Biology, Biophysics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Manuel D. Leonetti has authored 33 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Biophysics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Manuel D. Leonetti's work include Advanced Fluorescence Microscopy Techniques (7 papers), CRISPR and Genetic Engineering (6 papers) and Cell Image Analysis Techniques (5 papers). Manuel D. Leonetti is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (7 papers), CRISPR and Genetic Engineering (6 papers) and Cell Image Analysis Techniques (5 papers). Manuel D. Leonetti collaborates with scholars based in United States, Germany and Denmark. Manuel D. Leonetti's co-authors include Jonathan S. Weissman, Roderick MacKinnon, Bo Huang, Peng Yuan, Sayaka Sekine, James K. Nuñez, J. Zachery Cogan, Daichi Kamiyama, Alexander R. Pico and Luke A. Gilbert and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Manuel D. Leonetti

31 papers receiving 2.7k citations

Hit Papers

Genome-wide programmable ... 2020 2026 2022 2024 2021 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Manuel D. Leonetti 2.2k 364 296 276 224 33 2.7k
Valarie A. Barr 2.0k 0.9× 217 0.6× 350 1.2× 1.1k 3.8× 176 0.8× 54 4.8k
Kevin Truong 1.6k 0.7× 358 1.0× 278 0.9× 352 1.3× 57 0.3× 66 2.4k
Ichiro Maruyama 1.9k 0.9× 434 1.2× 210 0.7× 443 1.6× 53 0.2× 80 3.2k
Kiyoko Fukami 2.2k 1.0× 272 0.7× 325 1.1× 1.1k 3.8× 98 0.4× 14 3.3k
Daniel Zenklusen 4.1k 1.9× 108 0.3× 282 1.0× 238 0.9× 80 0.4× 50 4.4k
Michał Biśta 1.5k 0.7× 224 0.6× 285 1.0× 921 3.3× 72 0.3× 20 2.5k
Susanne M. Rafelski 1.7k 0.8× 170 0.5× 575 1.9× 466 1.7× 44 0.2× 31 2.6k
Mary N. Teruel 2.8k 1.3× 707 1.9× 217 0.7× 1.1k 4.0× 82 0.4× 39 3.9k
Yuhui Ni 1.2k 0.5× 114 0.3× 223 0.8× 215 0.8× 55 0.2× 25 1.7k

Countries citing papers authored by Manuel D. Leonetti

Since Specialization
Citations

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

Fields of papers citing papers by Manuel D. Leonetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel D. Leonetti. 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 Manuel D. Leonetti. The network helps show where Manuel D. Leonetti may publish in the future.

Co-authorship network of co-authors of Manuel D. Leonetti

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel D. Leonetti. A scholar is included among the top collaborators of Manuel D. Leonetti 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 Manuel D. Leonetti. Manuel D. Leonetti 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.
Liu, Ziwen, Soorya Pradeep, Ivan E. Ivanov, et al.. (2025). Robust virtual staining of landmark organelles with Cytoland. Nature Machine Intelligence. 7(6). 901–915. 1 indexed citations
3.
Ivanov, Ivan E., Ziwen Liu, Soorya Pradeep, et al.. (2024). Mantis: High-throughput 4D imaging and analysis of the molecular and physical architecture of cells. PNAS Nexus. 3(9). pgae323–pgae323. 5 indexed citations
4.
Leng, Kun, Brendan Rooney, Frank McCarthy, et al.. (2024). mTOR activation induces endolysosomal remodeling and nonclassical secretion of IL-32 via exosomes in inflammatory reactive astrocytes. Journal of Neuroinflammation. 21(1). 198–198. 9 indexed citations
5.
Sunshine, Sara, Andreas S. Puschnik, Joseph M. Replogle, et al.. (2023). Systematic functional interrogation of SARS-CoV-2 host factors using Perturb-seq. Nature Communications. 14(1). 6245–6245. 12 indexed citations
6.
Ivanov, Ivan E., Li-Hao Yeh, Juan A. Pérez-Bermejo, et al.. (2022). Correlative imaging of the spatio-angular dynamics of biological systems with multimodal instant polarization microscope. Biomedical Optics Express. 13(5). 3102–3102. 9 indexed citations
7.
Kobayashi, Hirofumi, et al.. (2022). Self-supervised deep learning encodes high-resolution features of protein subcellular localization. Nature Methods. 19(8). 995–1003. 73 indexed citations
8.
Schmidt, Hermann Broder, Zane A. Jaafar, Peter K. Jackson, et al.. (2022). Oxaliplatin disrupts nucleolar function through biophysical disintegration. Cell Reports. 41(6). 111629–111629. 33 indexed citations
9.
Goudeau, Jérôme, Jonathan S. Paw, Laura Savy, et al.. (2021). Split-wrmScarlet and split-sfGFP: tools for faster, easier fluorescent labeling of endogenous proteins in Caenorhabditis elegans. Genetics. 217(4). 22 indexed citations
10.
Brunetti, Rachel M., Preethi Raghavan, George R. R. Bell, et al.. (2021). WASP integrates substrate topology and cell polarity to guide neutrophil migration. The Journal of Cell Biology. 221(2). 32 indexed citations
11.
Jiménez‐Rojo, Noemi, Manuel D. Leonetti, Valeria Zoni, et al.. (2020). Conserved Functions of Ether Lipids and Sphingolipids in the Early Secretory Pathway. Current Biology. 30(19). 3775–3787.e7. 45 indexed citations
12.
Chen, Jin, Andreas‐David Brunner, J. Zachery Cogan, et al.. (2020). Pervasive functional translation of noncanonical human open reading frames. Science. 367(6482). 1140–1146. 405 indexed citations breakdown →
13.
Yang, Bin, Yina Wang, Siyu Feng, et al.. (2019). Epi-illumination SPIM for volumetric imaging with high spatial-temporal resolution. Nature Methods. 16(6). 501–504. 98 indexed citations
14.
Leenay, Ryan T., Amirali Aghazadeh, Joseph Hiatt, et al.. (2019). Large dataset enables prediction of repair after CRISPR–Cas9 editing in primary T cells. Nature Biotechnology. 37(9). 1034–1037. 82 indexed citations
15.
Feng, Siyu, Sayaka Sekine, Veronica Pessino, et al.. (2017). Improved split fluorescent proteins for endogenous protein labeling. Nature Communications. 8(1). 370–370. 174 indexed citations
16.
Leonetti, Manuel D., Sayaka Sekine, Daichi Kamiyama, Jonathan S. Weissman, & Bo Huang. (2016). A scalable strategy for high-throughput GFP tagging of endogenous human proteins. Proceedings of the National Academy of Sciences. 113(25). E3501–8. 155 indexed citations
17.
Leonetti, Manuel D., et al.. (2011). 60 problemas de gramática: dedicados a Ignacio Bosque. Chapter 11. 0–0. 1 indexed citations
18.
Yuan, Peng, et al.. (2011). Open structure of the Ca2+ gating ring in the high-conductance Ca2+-activated K+ channel. Nature. 481(7379). 94–97. 118 indexed citations
19.
Yuan, Peng, et al.. (2010). Structure of the Human BK Channel Ca 2+ -Activation Apparatus at 3.0 Å Resolution. Science. 329(5988). 182–186. 243 indexed citations
20.
Mony, Laétitia, Manuel D. Leonetti, Anne Le Goff, et al.. (2008). Structural Basis of NR2B-Selective Antagonist Recognition by N-Methyl-d-aspartate Receptors. Molecular Pharmacology. 75(1). 60–74. 46 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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