Marco Palombo

4.0k total citations
115 papers, 2.2k citations indexed

About

Marco Palombo is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics and Cognitive Neuroscience. According to data from OpenAlex, Marco Palombo has authored 115 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Nuclear and High Energy Physics and 7 papers in Cognitive Neuroscience. Recurrent topics in Marco Palombo's work include Advanced Neuroimaging Techniques and Applications (71 papers), Advanced MRI Techniques and Applications (51 papers) and MRI in cancer diagnosis (38 papers). Marco Palombo is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (71 papers), Advanced MRI Techniques and Applications (51 papers) and MRI in cancer diagnosis (38 papers). Marco Palombo collaborates with scholars based in United Kingdom, Italy and France. Marco Palombo's co-authors include Daniel C. Alexander, Silvia Capuani, Julien Valette, Hui Zhang, Noam Shemesh, Clémence Ligneul, Andrea Gabrielli, Ileana Jelescu, P. Palombo and Pierfrancesco Morganti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Marco Palombo

104 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Palombo United Kingdom	27	1.4k	293	244	182	176	115	2.2k
Martin Koch Germany	32	1.6k 1.2×	176 0.6×	83 0.3×	1.1k 6.3×	129 0.7×	77	4.6k
Samuel C. Grant United States	29	716 0.5×	184 0.6×	262 1.1×	148 0.8×	67 0.4×	105	2.9k
Bogusław Tomanek Canada	33	1.5k 1.1×	136 0.5×	345 1.4×	312 1.7×	34 0.2×	147	3.4k
Hyeonjin Kim South Korea	23	675 0.5×	97 0.3×	155 0.6×	62 0.3×	22 0.1×	105	1.8k
Xiaobing Fan United States	32	1.8k 1.4×	42 0.1×	150 0.6×	44 0.2×	14 0.1×	153	3.2k
Jiun‐Jie Wang Taiwan	34	1.9k 1.4×	12 0.0×	480 2.0×	364 2.0×	121 0.7×	104	3.8k
Philip M. Robson United States	26	1.5k 1.1×	31 0.1×	58 0.2×	81 0.4×	34 0.2×	92	2.8k
Stephen J. Matcher United Kingdom	28	1.9k 1.4×	14 0.0×	76 0.3×	149 0.8×	76 0.4×	116	3.4k
Han Wen United States	30	1.5k 1.1×	43 0.1×	38 0.2×	294 1.6×	37 0.2×	92	3.1k
Yi Qi United States	32	1.1k 0.8×	17 0.1×	200 0.8×	285 1.6×	38 0.2×	117	4.0k

Countries citing papers authored by Marco Palombo

Since Specialization

Citations

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

Fields of papers citing papers by Marco Palombo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Palombo

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Palombo. A scholar is included among the top collaborators of Marco Palombo 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 Palombo. Marco Palombo 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

Scaglione, Federico, Roberto Spotorno, Marco Palombo, et al.. (2025). Investigation of hydrogen embrittlement of an API 5 L X52 pipeline through potentiostatic charging. Corrosion Science. 256. 113251–113251.

Diotaiuti, Pierluigi, Giuseppe Marotta, Marco Palombo, et al.. (2025). Biofeedback for Motor and Cognitive Rehabilitation in Parkinson’s Disease: A Comprehensive Review of Non-Invasive Interventions. Brain Sciences. 15(7). 720–720.

Palombo, Marco, Marco De Marco, Michelangelo Mortello, et al.. (2025). Development of an experimental setup for testing X52 steel SENT specimens in electrolytic hydrogen to explore repurposing potential of pipelines. International Journal of Pressure Vessels and Piping. 216. 105527–105527. 1 indexed citations

Genc, Sila, Gareth Ball, Maxime Chamberland, et al.. (2025). MRI signatures of cortical microstructure in human development align with oligodendrocyte cell-type expression. Nature Communications. 16(1). 3317–3317.

Palombo, Marco, Benedetta Bodini, Francesco Grussu, et al.. (2025). ESR Essentials: diffusion-weighted MRI—practice recommendations by the European Society for Magnetic Resonance in Medicine and Biology. European Radiology. 36(3). 2198–2208.

Palombo, Marco, et al.. (2024). Probing lactate exchange in Gray Matter via time-dependent DW-MRS. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations

Palombo, Marco, et al.. (2024). Introducing µGUIDE for quantitative imaging via generalized uncertainty-driven inference using deep learning. eLife. 13. 2 indexed citations

Jones, Derek K., Daniel C. Alexander, Mara Cercignani, et al.. (2024). Low field, high impact: democratizing MRI for clinical and research innovation. BJR|Open. 7(1). tzaf022–tzaf022. 1 indexed citations

Schiavi, Simona, Marco Palombo, Domenico Zacà, et al.. (2023). Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics. Human Brain Mapping. 44(13). 4792–4811. 9 indexed citations

10.

Palombo, Marco, et al.. (2023). In Vivo Myelin Water Quantification Using Diffusion–Relaxation Correlation MRI: A Comparison of 1D and 2D Methods. Applied Magnetic Resonance. 54(11-12). 1571–1588. 3 indexed citations

11.

Lin, Hanhe, Richard White, Susan C. Shelmerdine, et al.. (2023). Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading. IEEE Transactions on Multimedia. 26. 256–269. 6 indexed citations

12.

Diotaiuti, Pierluigi, Stefano Corrado, Stefania Mancone, et al.. (2022). Both Gender and Agonistic Experience Affect Perceived Pain during the Cold Pressor Test. International Journal of Environmental Research and Public Health. 19(4). 2336–2336. 8 indexed citations

13.

Slator, Paddy J., Jana Hutter, Razvan Marinescu, et al.. (2021). Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. Medical Image Analysis. 71. 102045–102045. 20 indexed citations

14.

Slator, Paddy J., Marco Palombo, Karla L. Miller, et al.. (2021). Combined diffusion‐relaxometry microstructure imaging: Current status and future prospects. Magnetic Resonance in Medicine. 86(6). 2987–3011. 55 indexed citations

15.

Buizza, Giulia, Chiara Paganelli, Simone Sacco, et al.. (2020). Improving the characterization of meningioma microstructure in proton therapy from conventional apparent diffusion coefficient measurements using Monte Carlo simulations of diffusion MRI. Medical Physics. 48(3). 1250–1261. 10 indexed citations

16.

Palombo, Marco, et al.. (2020). Performance characterization of high-strength steel and quenched and tempered steels and their joints for structural applications. Welding in the World. 65(2). 289–300. 7 indexed citations

17.

Slator, Paddy J., Jana Hutter, Marco Palombo, et al.. (2019). Combined diffusion‐relaxometry MRI to identify dysfunction in the human placenta. Magnetic Resonance in Medicine. 82(1). 95–106. 69 indexed citations

18.

Palombo, Marco, et al.. (2018). Abundance of cell bodies can explain the stick model’s failure in grey matter at high bvalue. ORCA Online Research @Cardiff (Cardiff University). 6 indexed citations

19.

Palombo, Marco, et al.. (2018). A compartment based model for non-invasive cell body imaging by diffusion MRI. UCL Discovery (University College London). 6 indexed citations

20.

Palombo, Marco, Clémence Ligneul, & Julien Valette. (2016). Modeling diffusion of intracellular metabolites in the mouse brain up to very high diffusion‐weighting: Diffusion in long fibers (almost) accounts for non‐monoexponential attenuation. Magnetic Resonance in Medicine. 77(1). 343–350. 34 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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