Daniel Remondini

5.6k total citations · 1 hit paper
127 papers, 3.1k citations indexed

About

Daniel Remondini is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Daniel Remondini has authored 127 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 14 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Biomedical Engineering. Recurrent topics in Daniel Remondini's work include Bioinformatics and Genomic Networks (21 papers), Gene Regulatory Network Analysis (17 papers) and Electromagnetic Fields and Biological Effects (8 papers). Daniel Remondini is often cited by papers focused on Bioinformatics and Genomic Networks (21 papers), Gene Regulatory Network Analysis (17 papers) and Electromagnetic Fields and Biological Effects (8 papers). Daniel Remondini collaborates with scholars based in Italy, United States and United Kingdom. Daniel Remondini's co-authors include Gastone Castellani, Claudia Sala, Enrico Giampieri, Luciano Milanesi, Francesco Durazzi, Gerardo Manfreda, Alessandra De Cesare, Ettore Mosca, Matteo Bersanelli and Giulia Menichetti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Daniel Remondini

118 papers receiving 3.0k citations

Hit Papers

align trajectories

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.

Comparison between 16S rRNA and shotgun sequencing data for the taxonomic characterization of the gut microbiota

2021 328 citations Claudia Sala, Gastone Castellani et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Remondini Italy	31	1.6k	312	309	245	231	127	3.1k
Kelly L. Rogers Australia	33	1.5k 0.9×	214 0.7×	197 0.6×	183 0.7×	169 0.7×	84	3.4k
Peng Qiu United States	23	1.8k 1.1×	175 0.6×	331 1.1×	246 1.0×	284 1.2×	92	2.7k
Giuseppe Maulucci Italy	35	1.4k 0.8×	469 1.5×	119 0.4×	267 1.1×	499 2.2×	125	3.3k
Xiaohua Douglas Zhang China	27	1.5k 0.9×	261 0.8×	87 0.3×	208 0.8×	168 0.7×	114	3.3k
Philipp E. Geyer Germany	25	2.2k 1.4×	460 1.5×	81 0.3×	236 1.0×	297 1.3×	38	4.1k
Jean‐Marc Schwartz United Kingdom	30	1.4k 0.9×	172 0.6×	159 0.5×	130 0.5×	297 1.3×	110	2.7k
Rex L. Chisholm United States	40	2.4k 1.5×	254 0.8×	190 0.6×	150 0.6×	329 1.4×	115	4.6k
Lars Carlsson Sweden	33	1.9k 1.2×	140 0.4×	199 0.6×	97 0.4×	236 1.0×	82	4.3k
Dominik Lenz Brazil	24	1.1k 0.7×	317 1.0×	366 1.2×	117 0.5×	820 3.5×	116	3.1k
Yang Zhang China	38	1.4k 0.9×	245 0.8×	143 0.5×	412 1.7×	708 3.1×	207	4.5k

Countries citing papers authored by Daniel Remondini

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Remondini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Remondini

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Koopmans, Marion, István Csabai, Daniel Remondini, Emma Snary, & Frank M. Aarestrup. (2025). Artificial intelligence and One Health: potential for spillover prediction?. The Lancet Infectious Diseases. 26(3). 219–220.

Pannella, Micaela, Concettina Cappadone, Daniel Remondini, et al.. (2024). Radiomic analysis of 3D spheroids using 2D brightfield images. Biomedical Signal Processing and Control. 103. 107366–107366. 1 indexed citations

Dall’Olio, Daniele, Federico Magnani, Giorgia Simonetti, et al.. (2024). Emerging Signatures of Hematological Malignancies from Gene Expression and Transcription Factor-Gene Regulations. International Journal of Molecular Sciences. 25(24). 13588–13588.

Sala, Claudia, Giorgia Simonetti, Francesco Paolo Cammarata, et al.. (2024). Impact on the Transcriptome of Proton Beam Irradiation Targeted at Healthy Cardiac Tissue of Mice. Cancers. 16(8). 1471–1471.

Piccinini, Filippo, Marcella Tazzari, Maria Maddalena Tumedei, et al.. (2024). Data Science for Health Image Alignment: A User-Friendly Open-Source ImageJ/Fiji Plugin for Aligning Multimodality/Immunohistochemistry/Immunofluorescence 2D Microscopy Images. Sensors. 24(2). 451–451. 5 indexed citations

Capodici, Angelo, Marco Montalti, Zeno Di Valerio, et al.. (2024). Herpes zoster (HZ) vaccine coverage and confidence in Italy: a Nationwide cross-sectional study, the OBVIOUS project. BMC Infectious Diseases. 24(1). 438–438. 8 indexed citations

Hald, Tine, et al.. (2023). Comparison of Source Attribution Methodologies for Human Campylobacteriosis. Pathogens. 12(6). 786–786. 7 indexed citations

Botti, A., Marco Bertolini, Andrea Nitrosi, et al.. (2023). Machine and Deep Learning Algorithms for COVID-19 Mortality Prediction Using Clinical and Radiomic Features. Electronics. 12(18). 3878–3878. 1 indexed citations

Renzulli, Matteo, Rita Golfieri, Claudia Sala, et al.. (2023). Machine Learning Pipeline for the Automated Prediction of MicrovascularInvasion in HepatocellularCarcinomas. Applied Sciences. 13(3). 1371–1371. 2 indexed citations

10.

Gugnoni, Mila, Eugenia Lorenzini, Ítalo Faria do Valle, et al.. (2023). Adding pieces to the puzzle of differentiated-to-anaplastic thyroid cancer evolution: the oncogene E2F7. Cell Death and Disease. 14(2). 99–99. 4 indexed citations

11.

Capodici, Angelo, Marco Montalti, Maria Pia Fantini, et al.. (2023). Influenza vaccination landscape in Italy: A comprehensive study through the OBVIOUS project lens. Human Vaccines & Immunotherapeutics. 19(2). 2252250–2252250. 9 indexed citations

12.

Iori, Mauro, Andrea Nitrosi, Giulia Besutti, et al.. (2022). Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios. Applied Sciences. 12(8). 3903–3903. 12 indexed citations

13.

Giampieri, Enrico, et al.. (2022). Effectiveness of Biologically Inspired Neural Network Models in Learning and Patterns Memorization. Entropy. 24(5). 682–682. 3 indexed citations

14.

Menichetti, Giulia, et al.. (2021). Node Centrality Measures Identify Relevant Structural MRI Features of Subjects with Autism. Brain Sciences. 11(4). 498–498. 4 indexed citations

15.

Remondini, Daniel, et al.. (2021). Mechanisms Involved in the Promoting Activity of Fibroblasts in HTLV-1-Mediated Lymphomagenesis: Insights into the Plasticity of Lymphomatous Cells. International Journal of Molecular Sciences. 22(19). 10562–10562. 1 indexed citations

16.

Pirini, Maurizio, Silvia Testi, Sergio Ghidini, et al.. (2018). Toward the Authentication of European Sea Bass Origin through a Combination of Biometric Measurements and Multiple Analytical Techniques. Journal of Agricultural and Food Chemistry. 66(26). 6822–6831. 15 indexed citations

17.

Valle, Ítalo Faria do, Giulia Menichetti, Giorgia Simonetti, et al.. (2018). Network integration of multi-tumour omics data suggests novel targeting strategies. Nature Communications. 9(1). 4514–4514. 34 indexed citations

18.

Menichetti, Giulia, Ginestra Bianconi, Gastone Castellani, Enrico Giampieri, & Daniel Remondini. (2015). Multiscale characterization of ageing and cancer progression by a novel network entropy measure. Molecular BioSystems. 11(7). 1824–1831. 16 indexed citations

19.

Remondini, Daniel, Stefano Salvioli, Mirko Francesconi, et al.. (2010). Complex patterns of gene expression in human T cells during in vivo aging. Molecular BioSystems. 6(10). 1983–1992. 22 indexed citations

20.

Scotlandi, Katia, Daniel Remondini, Gastone Castellani, et al.. (2009). Overcoming Resistance to Conventional Drugs in Ewing Sarcoma and Identification of Molecular Predictors of Outcome. Journal of Clinical Oncology. 27(13). 2209–2216. 102 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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