Marco Battaglini

7.7k total citations · 1 hit paper
101 papers, 4.1k citations indexed

About

Marco Battaglini is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Marco Battaglini has authored 101 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Pathology and Forensic Medicine, 32 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Neurology. Recurrent topics in Marco Battaglini's work include Multiple Sclerosis Research Studies (57 papers), Systemic Lupus Erythematosus Research (14 papers) and Advanced Neuroimaging Techniques and Applications (14 papers). Marco Battaglini is often cited by papers focused on Multiple Sclerosis Research Studies (57 papers), Systemic Lupus Erythematosus Research (14 papers) and Advanced Neuroimaging Techniques and Applications (14 papers). Marco Battaglini collaborates with scholars based in Italy, United Kingdom and Netherlands. Marco Battaglini's co-authors include Nicola De Stefano, Mark Jenkinson, Antonio Giorgio, Maria Laura Stromillo, Antonio Federico, Maria Pia Amato, Emilio Portaccio, M. Bartolozzi, Maria Pia Sormani and Massimo Filippi and has published in prestigious journals such as Nature Medicine, PLoS ONE and NeuroImage.

In The Last Decade

Marco Battaglini

98 papers receiving 4.1k 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.

Magnitude, demographics and dynamics of the effect of the first wave of the COVID-19 pandemic on all-cause mortality in 21 industrialized countries

2020 268 citations Marco Battaglini, Gianni Corsetti et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Battaglini Italy	35	2.5k	1.0k	1.0k	748	548	101	4.1k
Paolo Preziosa Italy	32	2.9k 1.2×	1.1k 1.0×	922 0.9×	612 0.8×	651 1.2×	143	4.2k
Robert T. Naismith United States	38	2.6k 1.1×	1.1k 1.1×	915 0.9×	642 0.9×	468 0.9×	137	4.3k
Gabriele C. DeLuca United Kingdom	41	3.0k 1.2×	1.2k 1.1×	790 0.8×	769 1.0×	1.0k 1.8×	126	5.8k
Carmen Tur Spain	31	2.7k 1.1×	1.2k 1.2×	682 0.7×	751 1.0×	387 0.7×	109	3.6k
Michael Khalil Austria	32	1.9k 0.8×	1.5k 1.5×	709 0.7×	497 0.7×	1.0k 1.9×	104	4.5k
Jiwon Oh Canada	32	2.5k 1.0×	883 0.8×	751 0.7×	670 0.9×	473 0.9×	170	4.1k
Deepa P. Ramasamy United States	34	2.1k 0.9×	938 0.9×	622 0.6×	562 0.8×	322 0.6×	107	3.0k
Jesper Hagemeier United States	35	2.0k 0.8×	993 1.0×	776 0.8×	502 0.7×	553 1.0×	109	3.2k
Nikos Evangelou United Kingdom	37	4.3k 1.7×	1.8k 1.7×	1.4k 1.4×	1.1k 1.4×	819 1.5×	127	5.7k
Daniel Pelletier United States	28	3.1k 1.2×	970 0.9×	507 0.5×	796 1.1×	699 1.3×	36	4.1k

Countries citing papers authored by Marco Battaglini

Since Specialization

Citations

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

Fields of papers citing papers by Marco Battaglini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Battaglini

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

All Works

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20 of 20 papers shown

Battaglini, Marco, et al.. (2025). Treatment effects of cladribine tablets on data-driven patterns of regional grey matter atrophy in multiple sclerosis. Multiple Sclerosis Journal. 31(6). 696–705.

Battaglini, Marco & Thomas R. Palfrey. (2024). Dynamic Collective Action and the Power of Large Numbers. SSRN Electronic Journal. 1 indexed citations

Cortese, Rosa, Domenico Plantone, Jian Zhang, et al.. (2024). Hippocampal atrophy and white matter lesions characteristics can predict evolution to dementia in patients with vascular mild cognitive impairment. Journal of the Neurological Sciences. 464. 123163–123163. 3 indexed citations

Vrenken, Hugo, Marco Battaglini, Bernardo Corrêa de Almeida Teixeira, et al.. (2023). Temporal evolution of new T1-weighted hypo-intense lesions and central brain atrophy in patients with a first clinical demyelinating event treated with subcutaneous interferon β-1a. Journal of Neurology. 270(4). 2271–2282. 1 indexed citations

Rocca, Maria A., Monica Margoni, Marco Battaglini, et al.. (2023). Emerging Perspectives on MRI Application in Multiple Sclerosis: Moving from Pathophysiology to Clinical Practice. Radiology. 307(5). e221512–e221512. 17 indexed citations

Jenkinson, Mark, Ludovica Griffanti, Marzia Mortilla, et al.. (2023). BIANCA‐MS: An optimized tool for automated multiple sclerosis lesion segmentation. Human Brain Mapping. 44(14). 4893–4913. 8 indexed citations

Stefano, Nicola De, Marco Battaglini, Deborah Pareto, et al.. (2022). MAGNIMS recommendations for harmonization of MRI data in MS multicenter studies. NeuroImage Clinical. 34. 102972–102972. 13 indexed citations

Cortese, Rosa, et al.. (2022). Reduction in grey matter atrophy in patients with relapsing multiple sclerosis following treatment with cladribine tablets. European Journal of Neurology. 30(1). 179–186. 13 indexed citations

Battaglini, Marco, Hugo Vrenken, Adriaan Versteeg, et al.. (2022). Evolution from a first clinical demyelinating event to multiple sclerosis in the REFLEX trial: Regional susceptibility in the conversion to multiple sclerosis at disease onset and its amenability to subcutaneous interferon beta‐1a. European Journal of Neurology. 29(7). 2024–2035. 7 indexed citations

10.

Dorrucci, Maria, Giada Minelli, Stefano Boros, et al.. (2022). A population-based cohort approach to assess excess mortality due to the spread of COVID-19 in Italy, January-May 2020. IRIS Research product catalog (Sapienza University of Rome). 1 indexed citations

11.

Cortese, Rosa, Marco Battaglini, Maria Laura Stromillo, et al.. (2021). Mild gray matter atrophy in patients with long-standing multiple sclerosis and favorable clinical course. Multiple Sclerosis Journal. 28(1). 154–159. 3 indexed citations

12.

Stefano, Nicola De, Antonio Giorgio, Maria Laura Stromillo, et al.. (2021). Dynamics of pseudo‐atrophy in RRMS reveals predominant gray matter compartmentalization. Annals of Clinical and Translational Neurology. 8(3). 623–630. 18 indexed citations

13.

Blangiardo, Marta, Michela Cameletti, Monica Pirani, et al.. (2020). Estimating weekly excess mortality at sub-national level in Italy during the COVID-19 pandemic. PLoS ONE. 15(10). e0240286–e0240286. 53 indexed citations

14.

Giorgio, Antonio, Marco Battaglini, Maria Laura Stromillo, et al.. (2020). Mapping the Progressive Treatment-Related Reduction of Active MRI Lesions in Multiple Sclerosis. Frontiers in Neurology. 11. 585296–585296. 3 indexed citations

15.

Razzolini, Lorenzo, Emilio Portaccio, Maria Laura Stromillo, et al.. (2018). The dilemma of benign multiple sclerosis: Can we predict the risk of losing the “benign status”? A 12-year follow-up study. Multiple Sclerosis and Related Disorders. 26. 71–73. 6 indexed citations

16.

Stefano, Nicola De, Antonio Giorgio, Marco Battaglini, et al.. (2017). Reduced brain atrophy rates are associated with lower risk of disability progression in patients with relapsing multiple sclerosis treated with cladribine tablets. Multiple Sclerosis Journal. 24(2). 222–226. 48 indexed citations

17.

Battaglini, Marco, Michael D. Jenkinson, & Nicola De Stefano. (2016). SIENA-XL for the assessment of gray matter and white matter volume changes in clinical studies of patients with multiple sclerosis.. Multiple Sclerosis Journal. 22. 841–841. 1 indexed citations

18.

Stefano, Nicola De, Antonio Giorgio, Marco Battaglini, et al.. (2016). Cladribine effect on brain volume loss and its correlation with disability progression in patients with relapsing multiple sclerosis. Multiple Sclerosis Journal. 22. 216–216. 1 indexed citations

19.

Storelli, Loredana, Elisabetta Pagani, Maria A. Rocca, et al.. (2016). A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context. American Journal of Neuroradiology. 37(11). 2043–2049. 5 indexed citations

20.

Bodini, Benedetta, Laure Bottin, Léorah Freeman, et al.. (2012). Assessment of myelin content by positron emission tomography with [methyl-C-11]-2-(4 '-methylaminophenyl)-6-hydroxybenzothiazole in relapsing-remitting MS. UCL Discovery (University College London). 1 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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