Remo Monti

559 total citations
10 papers, 270 citations indexed

About

Remo Monti is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Remo Monti has authored 10 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Remo Monti's work include Genetic Associations and Epidemiology (4 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). Remo Monti is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). Remo Monti collaborates with scholars based in Germany, United States and Switzerland. Remo Monti's co-authors include Igor V. Grigoriev, Christoph Lippert, Vasanth Singan, Uwe Ohler, Johanna Wong‐Bajracharya, Francis Martin, Wolfgang Kopp, Jonathan M. Plett, Krista L. Plett and Altuna Akalin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Remo Monti

9 papers receiving 268 citations

Peers

Remo Monti

MB

PS

BE

AI

GENET

Han C. W. Hsiao Taiwan

Xinyi Shi China

Glen-Oliver F. Gowers United Kingdom

Torsten Wenke Germany

Shenglong Tan China

Nanjiao Ying China

Shawna Miles United States

Miguel Antunes Portugal

Deborah Chasman United States

Cecilia Garmendia‐Torres France

Han C. W. Hsiao Taiwan

Remo Monti

293 ×2.0

MB

180 ×1.7

PS

5 ×0.2

BE

28 ×1.0

AI

21 ×0.8

GENET

Citations per year, relative to Remo Monti Remo Monti (= 1×) peers Han C. W. Hsiao

Countries citing papers authored by Remo Monti

Since Specialization

Citations

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

Fields of papers citing papers by Remo Monti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Remo Monti

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

All Works

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10 of 10 papers shown

1.

Rakowski, Alexander, Remo Monti, & Christoph Lippert. (2024). TransferGWAS of T1-weighted brain MRI data from UK Biobank. PLoS Genetics. 20(12). e1011332–e1011332.

2.

Yang, Zhiyu, Vishnu Raj, Remo Monti, et al.. (2023). HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes. Bioinformatics. 39(9). 9 indexed citations

3.

Monti, Remo & Uwe Ohler. (2023). Toward Identification of Functional Sequences and Variants in Noncoding DNA. PubMed. 6(1). 191–210. 4 indexed citations

4.

Wong‐Bajracharya, Johanna, Vasanth Singan, Remo Monti, et al.. (2022). The ectomycorrhizal fungus Pisolithus microcarpus encodes a microRNA involved in cross-kingdom gene silencing during symbiosis. Proceedings of the National Academy of Sciences. 119(3). 68 indexed citations

5.

Monti, Remo, et al.. (2022). Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes. Nature Communications. 13(1). 5332–5332. 9 indexed citations

6.

Monti, Remo, et al.. (2022). ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20876–20889. 41 indexed citations

7.

Kopp, Wolfgang, et al.. (2020). Deep learning for genomics using Janggu. Nature Communications. 11(1). 3488–3488. 40 indexed citations

8.

Wu, Vincent W., Nils Thieme, Lori B. Huberman, et al.. (2020). The regulatory and transcriptional landscape associated with carbon utilization in a filamentous fungus. Proceedings of the National Academy of Sciences. 117(11). 6003–6013. 69 indexed citations

9.

Monti, Remo, et al.. (2018). A switch in transcription and cell fate governs the onset of an epigenetically-deregulated tumor in Drosophila. eLife. 7. 12 indexed citations

10.

Monti, Remo, Iros Barozzi, Marco Osterwalder, et al.. (2017). Limb-Enhancer Genie: An accessible resource of accurate enhancer predictions in the developing limb. PLoS Computational Biology. 13(8). e1005720–e1005720. 18 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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