Mirko Torrisi

497 total citations
5 papers, 285 citations indexed

About

Mirko Torrisi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Mirko Torrisi has authored 5 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Materials Chemistry. Recurrent topics in Mirko Torrisi's work include Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (3 papers) and RNA and protein synthesis mechanisms (2 papers). Mirko Torrisi is often cited by papers focused on Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (3 papers) and RNA and protein synthesis mechanisms (2 papers). Mirko Torrisi collaborates with scholars based in Ireland and United States. Mirko Torrisi's co-authors include Gianluca Pollastri, Quan Le, Catherine Mooney, Chr̀istophe Magnan, Pierre Baldi and Gregor Urban and has published in prestigious journals such as Bioinformatics, Scientific Reports and Amino Acids.

In The Last Decade

Mirko Torrisi

5 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mirko Torrisi Ireland	5	223	68	65	19	14	5	285
Zhiye Guo United States	11	290 1.3×	94 1.4×	74 1.1×	8 0.4×	10 0.7×	21	360
Xiangeng Wang China	11	325 1.5×	75 1.1×	190 2.9×	31 1.6×	15 1.1×	17	446
Manon Réau France	8	209 0.9×	69 1.0×	163 2.5×	26 1.4×	7 0.5×	11	318
Darby Tien-Hao Chang Taiwan	10	264 1.2×	42 0.6×	73 1.1×	16 0.8×	10 0.7×	19	318
Xiaoqi Wang China	11	171 0.8×	29 0.4×	88 1.4×	33 1.7×	7 0.5×	23	257
Ashwin Dhakal United States	6	123 0.6×	35 0.5×	96 1.5×	15 0.8×	7 0.5×	10	251
Xiuzhen Hu China	11	366 1.6×	35 0.5×	151 2.3×	9 0.5×	6 0.4×	46	457
Yuh‐Jyh Hu Taiwan	10	154 0.7×	47 0.7×	30 0.5×	48 2.5×	11 0.8×	35	339
Elzbieta Rembeza Sweden	6	276 1.2×	34 0.5×	31 0.5×	13 0.7×	21 1.5×	7	354
Sandra Viknander Sweden	4	228 1.0×	29 0.4×	33 0.5×	12 0.6×	16 1.1×	9	269

Countries citing papers authored by Mirko Torrisi

Since Specialization

Citations

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

Fields of papers citing papers by Mirko Torrisi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirko Torrisi

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

All Works

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5 of 5 papers shown

1.

Urban, Gregor, Mirko Torrisi, Chr̀istophe Magnan, Gianluca Pollastri, & Pierre Baldi. (2020). Protein profiles: Biases and protocols. Computational and Structural Biotechnology Journal. 18. 2281–2289. 8 indexed citations

2.

Torrisi, Mirko, Gianluca Pollastri, & Quan Le. (2020). Deep learning methods in protein structure prediction. Computational and Structural Biotechnology Journal. 18. 1301–1310. 178 indexed citations

3.

Torrisi, Mirko & Gianluca Pollastri. (2020). Brewery: deep learning and deeper profiles for the prediction of 1D protein structure annotations. Bioinformatics. 36(12). 3897–3898. 9 indexed citations

4.

Torrisi, Mirko, et al.. (2019). Deeper Profiles and Cascaded Recurrent and Convolutional Neural Networks for state-of-the-art Protein Secondary Structure Prediction. Scientific Reports. 9(1). 12374–12374. 65 indexed citations

5.

Torrisi, Mirko, et al.. (2019). PaleAle 5.0: prediction of protein relative solvent accessibility by deep learning. Amino Acids. 51(9). 1289–1296. 25 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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