Marilisa Neri

1.0k total citations
9 papers, 469 citations indexed

About

Marilisa Neri is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Marilisa Neri has authored 9 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Atomic and Molecular Physics, and Optics and 2 papers in Materials Chemistry. Recurrent topics in Marilisa Neri's work include Protein Structure and Dynamics (4 papers), Single-cell and spatial transcriptomics (2 papers) and Lipid Membrane Structure and Behavior (2 papers). Marilisa Neri is often cited by papers focused on Protein Structure and Dynamics (4 papers), Single-cell and spatial transcriptomics (2 papers) and Lipid Membrane Structure and Behavior (2 papers). Marilisa Neri collaborates with scholars based in Switzerland, Italy and United States. Marilisa Neri's co-authors include Paolo Carloni, Claudio Anselmi, Amos Maritan, Michele Cascella, Caroline Gubser Keller, Ajamete Kaykas, Chaoyang Ye, Martin Hénault, Daniel Ho and Pierre Farmer and has published in prestigious journals such as Physical Review Letters, Nature Communications and Scientific Reports.

In The Last Decade

Marilisa Neri

9 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marilisa Neri Switzerland	8	330	84	50	49	45	9	469
Yung-Hao Wong Taiwan	11	358 1.1×	45 0.5×	69 1.4×	52 1.1×	27 0.6×	20	644
Mike Johnson United States	7	504 1.5×	118 1.4×	16 0.3×	28 0.6×	22 0.5×	8	917
Debashish Sahu United States	13	475 1.4×	86 1.0×	18 0.4×	39 0.8×	28 0.6×	30	626
Neelan J. Marianayagam United States	9	458 1.4×	131 1.6×	21 0.4×	20 0.4×	25 0.6×	53	750
Sandra Turconi United Kingdom	13	489 1.5×	53 0.6×	14 0.3×	16 0.3×	36 0.8×	16	638
Alain Ibáñez de Opakua Germany	19	787 2.4×	80 1.0×	28 0.6×	44 0.9×	19 0.4×	38	1.1k
Aviv Paz Israel	18	594 1.8×	111 1.3×	92 1.8×	19 0.4×	19 0.4×	39	936
Ana Lopez-Campistrous Canada	12	458 1.4×	47 0.6×	12 0.2×	105 2.1×	18 0.4×	18	725
Sakurako Shimotakahara Japan	12	614 1.9×	214 2.5×	21 0.4×	18 0.4×	14 0.3×	28	796
Dhabaleswar Patra United States	9	393 1.2×	48 0.6×	33 0.7×	20 0.4×	26 0.6×	13	610

Countries citing papers authored by Marilisa Neri

Since Specialization

Citations

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

Fields of papers citing papers by Marilisa Neri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marilisa Neri

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

All Works

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9 of 9 papers shown

Neri, Marilisa, Mario Bernhard, Irena Brzak, et al.. (2022). Sustained Trem2 stabilization accelerates microglia heterogeneity and Aβ pathology in a mouse model of Alzheimer’s disease. Cell Reports. 39(9). 110883–110883. 33 indexed citations

Wang, Zhongyi, Adrian Keogh, Annick Waldt, et al.. (2021). Single-cell and bulk transcriptomics of the liver reveals potential targets of NASH with fibrosis. Scientific Reports. 11(1). 19396–19396. 64 indexed citations

Wegmann, Rebekka, Marilisa Neri, Sven Schuierer, et al.. (2019). CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data. Genome biology. 20(1). 142–142. 40 indexed citations

Neri, Marilisa. (2019). Novartis/scRNAseq_workflow_benchmark: single cell RNAseq data analysis workflow. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Ye, Chaoyang, Daniel Ho, Marilisa Neri, et al.. (2018). DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery. Nature Communications. 9(1). 4307–4307. 135 indexed citations

Neri, Marilisa, Marc Baaden, Vincenzo Carnevale, et al.. (2007). Microseconds Dynamics Simulations of the Outer-Membrane Protease T. Biophysical Journal. 94(1). 71–78. 31 indexed citations

Neri, Marilisa, Claudio Anselmi, Vincenzo Carnevale, Attilio V. Vargiu, & Paolo Carloni. (2006). Molecular dynamics simulations of outer-membrane protease T fromE. colibased on a hybrid coarse-grained/atomistic potential. Journal of Physics Condensed Matter. 18(14). S347–S355. 14 indexed citations

Neri, Marilisa, Claudio Anselmi, Michele Cascella, Amos Maritan, & Paolo Carloni. (2005). Coarse-Grained Model of Proteins Incorporating Atomistic Detail of the Active Site. Physical Review Letters. 95(21). 218102–218102. 139 indexed citations

Neri, Marilisa, Michele Cascella, & Cristian Micheletti. (2005). The influence of conformational fluctuations on enzymatic activity: modelling the functional motion of β-secretase. Journal of Physics Condensed Matter. 17(18). S1581–S1593. 12 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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