Marco Santello

8.1k total citations · 1 hit paper
152 papers, 5.7k citations indexed

About

Marco Santello is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Marco Santello has authored 152 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Cognitive Neuroscience, 92 papers in Biomedical Engineering and 20 papers in Control and Systems Engineering. Recurrent topics in Marco Santello's work include Motor Control and Adaptation (102 papers), Muscle activation and electromyography studies (85 papers) and Tactile and Sensory Interactions (45 papers). Marco Santello is often cited by papers focused on Motor Control and Adaptation (102 papers), Muscle activation and electromyography studies (85 papers) and Tactile and Sensory Interactions (45 papers). Marco Santello collaborates with scholars based in United States, Italy and United Kingdom. Marco Santello's co-authors include John F. Soechting, Martha Flanders, Marc H. Schieber, Qiushi Fu, Caterina Ansuini, Antonio Bicchi, M. J. N. McDonagh, Sara A. Winges, Jamie R. Lukos and Andrew M. Gordon and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Marco Santello

144 papers receiving 5.5k citations

Hit Papers

Postural Hand Synergies for Tool Use 1998 2026 2007 2016 1998 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Santello United States 35 3.7k 3.6k 1.2k 839 509 152 5.7k
Martha Flanders United States 36 4.7k 1.2× 2.7k 0.8× 900 0.8× 1.1k 1.3× 262 0.5× 80 5.6k
G. Westling Sweden 23 5.3k 1.4× 3.7k 1.1× 645 0.5× 993 1.2× 402 0.8× 29 6.4k
Theodore E. Milner Canada 42 4.1k 1.1× 4.1k 1.1× 870 0.7× 818 1.0× 379 0.7× 103 6.3k
John F. Soechting United States 50 6.8k 1.8× 3.6k 1.0× 1.1k 0.9× 1.5k 1.8× 399 0.8× 129 8.4k
Ferdinando A. Mussa-Ivaldi United States 41 5.5k 1.5× 3.7k 1.0× 785 0.7× 1.5k 1.8× 535 1.1× 151 7.1k
David W. Franklin Germany 51 4.7k 1.2× 4.3k 1.2× 800 0.7× 1.4k 1.7× 224 0.4× 148 8.6k
Hiroaki Gomi Japan 28 3.5k 0.9× 2.0k 0.6× 820 0.7× 810 1.0× 261 0.5× 121 4.8k
Dagmar Sternad United States 40 3.8k 1.0× 2.5k 0.7× 558 0.5× 1.5k 1.7× 204 0.4× 167 6.2k
Francisco J. Valero‐Cuevas United States 34 2.0k 0.5× 2.5k 0.7× 545 0.5× 285 0.3× 252 0.5× 126 3.9k
Andrea d’Avella Italy 38 5.7k 1.5× 5.6k 1.6× 454 0.4× 1.1k 1.3× 584 1.1× 110 7.8k

Countries citing papers authored by Marco Santello

Since Specialization
Citations

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

Fields of papers citing papers by Marco Santello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Santello

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

All Works

20 of 20 papers shown
1.
Santello, Marco. (2025). ‘No in English I don’t do that’: exploring Gambian migrants’ linguistic cooperation in Italy. Applied Linguistics. 1 indexed citations
2.
Santello, Marco, et al.. (2025). Bioinspired trajectory modulation for effective slip control in robot manipulation. Nature Machine Intelligence. 7(7). 1119–1128.
3.
4.
Fu, Qiushi, Giuseppe Lisi, Toshinori Yoshioka, et al.. (2023). Learning acquisition of consistent leader–follower relationships depends on implicit haptic interactions. Scientific Reports. 13(1). 3476–3476. 4 indexed citations
5.
Santello, Marco, et al.. (2023). Distinct sensorimotor mechanisms underlie the control of grasp and manipulation forces for dexterous manipulation. Scientific Reports. 13(1). 12037–12037. 5 indexed citations
6.
Santello, Marco. (2021). Pushing the boundaries of a physical approach for the study of sensorimotor control. Physics of Life Reviews. 37. 7–9.
7.
Godfrey, Sasha Blue, Kristin D. Zhao, Ryan Breighner, et al.. (2020). Case Report: Optimizing Daily Function for People with Below-elbow Limb Deficiency with the SoftHand Pro. SHILAP Revista de lepidopterología. 8(4). 1–7. 1 indexed citations
8.
Chinello, Francesco, et al.. (2019). Linear Integration of Tactile and Non-tactile Inputs Mediates Estimation of Fingertip Relative Position. Frontiers in Neuroscience. 13. 68–68. 6 indexed citations
9.
Santello, Marco, et al.. (2019). Motor modules account for active perception of force. Scientific Reports. 9(1). 8983–8983. 3 indexed citations
10.
Fu, Qiushi & Marco Santello. (2018). Improving Fine Control of Grasping Force during Hand–Object Interactions for a Soft Synergy-Inspired Myoelectric Prosthetic Hand. Frontiers in Neurorobotics. 11. 71–71. 25 indexed citations
11.
Godfrey, Sasha Blue, Ryan Breighner, Karen L. Andrews, et al.. (2017). Grasp Performance of a Soft Synergy-Based Prosthetic Hand: A Pilot Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(12). 2407–2417. 9 indexed citations
12.
Artemiadis, Panagiotis, et al.. (2017). Communication and Inference of Intended Movement Direction during Human–Human Physical Interaction. Frontiers in Neurorobotics. 11. 21–21. 25 indexed citations
13.
Godfrey, Sasha Blue, Matteo Bianchi, Antonio Bicchi, & Marco Santello. (2016). Influence of force feedback on grasp force modulation in prosthetic applications: A preliminary study. PubMed. 2016. 5439–5442. 35 indexed citations
14.
Ratuapli, Shiva K., Kevin Ruff, Francisco C. Ramirez, et al.. (2015). Kinematic analysis of wrist motion during simulated colonoscopy in first-year gastroenterology fellows. SHILAP Revista de lepidopterología. 3(6). E621–E626. 5 indexed citations
15.
Zhang, Wei & Marco Santello. (2014). Quantification of behavioral consequences of carpal tunnel syndrome: Insights from biomechanical analysis of grasping and manipulation. Journal of Novel Physiotherapies. 33–56. 3 indexed citations
16.
Fu, Qiushi, et al.. (2014). Learned Manipulation at Unconstrained Contacts Does Not Transfer across Hands. PLoS ONE. 9(9). e108222–e108222. 25 indexed citations
17.
Crajé, Céline, Marco Santello, & Andrew M. Gordon. (2013). Effects of Visual Cues of Object Density on Perception and Anticipatory Control of Dexterous Manipulation. PLoS ONE. 8(10). e76855–e76855. 20 indexed citations
18.
Fu, Qiushi, Ziaul Hasan, & Marco Santello. (2011). Transfer of Learned Manipulation following Changes in Degrees of Freedom. Journal of Neuroscience. 31(38). 13576–13584. 36 indexed citations
19.
Adler, Charles H., Debra J. Crews, Kanav Kahol, et al.. (2011). Are the yips a task‐specific dystonia or “golfer's cramp”?. Movement Disorders. 26(11). 1993–1996. 29 indexed citations
20.
Ganley, Kathleen J., et al.. (2010). Fuel oxidation at the walk-to-run-transition in humans. Metabolism. 60(5). 609–616. 21 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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