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Francesco Negro

Francesco Negro

University of Brescia
Italy

D-Index & Metrics

Neuroscience

D-Index
46
Citations
8122
World Ranking
6695
National Ranking
345

Francesco Negro publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Francesco Negro sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 158 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Francesco Negro D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Francesco Negro sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 46 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Francesco Negro is affiliated with the University of Brescia in Italy and has contributed extensively to the fields of neuroscience, engineering, and medicine. Their research focuses primarily on biomedical engineering, cognitive neuroscience, and cellular and molecular neuroscience, with additional work related to neurology and orthopedics and sports medicine.

Francesco Negro's research topics cover a broad range of areas including muscle activation and electromyography studies, motor control and adaptation, EEG and brain-computer interfaces, neuroscience and neural engineering, transcranial magnetic stimulation studies, sports performance and training, and advanced sensor and energy harvesting materials. The volume of publications in these topics reflects a multifaceted approach to understanding neural and muscular function.

The scientist has published frequently in several academic venues, with the most common being bioRxiv (Cold Spring Harbor Laboratory), The Journal of Physiology, Journal of Neurophysiology, Journal of Electromyography and Kinesiology, and Journal of Applied Physiology.

Frequent co-authors of Francesco Negro include:

  • Eduardo Martinez-Valdes
  • Hélio V. Cabral
  • C. J. Heckman
  • Claudio Orizio
  • Alessandro Cudicio

Selected recent papers by Francesco Negro include:

  • Estimation of self-sustained activity produced by persistent inward currents using firing rate profiles of multiple motor units in humans, 2020, Journal of Neurophysiology
  • Divergent response of low- versus high-threshold motor units to experimental muscle pain, 2020, The Journal of Physiology
  • Estimates of persistent inward currents are reduced in upper limb motor units of older adults, 2021, The Journal of Physiology
  • Neural control of matched motor units during muscle shortening and lengthening at increasing velocities, 2021, Journal of Applied Physiology
  • Neuro-Musculoskeletal Mapping for Man-Machine Interfacing, 2020, Scientific Reports

Best Publications

  • Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation.

    Francesco Negro;Silvia Muceli;Anna Margherita Castronovo;Ales Holobar

  • The increase in muscle force after 4 weeks of strength training is mediated by adaptations in motor unit recruitment and rate coding

    Alessandro Del Vecchio;Alessandro Del Vecchio;Andrea Casolo;Andrea Casolo;Francesco Negro;Matteo Scorcelletti

  • Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation

    Dario Farina;Dario Farina;Ivan Vujaklija;Ivan Vujaklija;Massimo Sartori;Tamás Kapelner

  • Fluctuations in isometric muscle force can be described by one linear projection of low-frequency components of motor unit discharge rates.

    Francesco Negro;Aleš Holobar;Aleš Holobar;Dario Farina

  • You are as fast as your motor neurons: speed of recruitment and maximal discharge of motor neurons determine the maximal rate of force development in humans

    Alessandro Del Vecchio;Alessandro Del Vecchio;Francesco Negro;Ales Holobar;Andrea Casolo;Andrea Casolo

  • Common synaptic input to motor neurons, motor unit synchronization, and force control.

    Dario Farina;Francesco Negro

  • Experimental Analysis of Accuracy in the Identification of Motor Unit Spike Trains From High-Density Surface EMG

    Aleş Holobar;Marco Alessandro Minetto;Alberto Botter;Francesco Negro

  • The effective neural drive to muscles is the common synaptic input to motor neurons

    Dario Farina;Francesco Negro;Jakob Lund Dideriksen

  • Principles of Motor Unit Physiology Evolve With Advances in Technology

    Dario Farina;Francesco Negro;Silvia Muceli;Roger M. Enoka

  • Tracking motor units longitudinally across experimental sessions with high-density surface electromyography.

    E. Martinez-Valdes;F. Negro;F. Negro;C. M. Laine;D. Falla

  • Spatial Correlation of High Density EMG Signals Provides Features Robust to Electrode Number and Shift in Pattern Recognition for Myocontrol

    Antonietta Stango;Francesco Negro;Dario Farina

  • Motor unit recruitment strategies and muscle properties determine the influence of synaptic noise on force steadiness.

    Jakob L. Dideriksen;Francesco Negro;Roger M. Enoka;Dario Farina

  • Detecting the Unique Representation of Motor-Unit Action Potentials in the Surface Electromyogram

    Dario Farina;Francesco Negro;Marco Gazzoni;Roger M. Enoka

  • Associations between Motor Unit Action Potential Parameters and Surface EMG Features

    Alessandro Del Vecchio;Alessandro Del Vecchio;Francesco Negro;Francesco Felici;Dario Farina

  • Linear transmission of cortical oscillations to the neural drive to muscles is mediated by common projections to populations of motoneurons in humans

    Francesco Negro;Francesco Negro;Dario Farina;Dario Farina

  • Accessing the Neural Drive to Muscle and Translation to Neurorehabilitation Technologies

    D. Farina;F. Negro

  • Identification of common synaptic inputs to motor neurons from the rectified electromyogram.

    Dario Farina;Francesco Negro;Ning Jiang

  • Surface EMG amplitude does not identify differences in neural drive to synergistic muscles

    Eduardo Martinez-Valdes;Eduardo Martinez-Valdes;Eduardo Martinez-Valdes;Francesco Negro;Deborah Falla;Alessandro Marco De Nunzio

  • Robust and accurate decoding of motoneuron behaviour and prediction of the resulting force output

    Christopher K. Thompson;Francesco Negro;Michael D. Johnson;Matthew R. Holmes

  • The proportion of common synaptic input to motor neurons increases with an increase in net excitatory input

    Anna Margherita Castronovo;Francesco Negro;Silvia Conforto;Dario Farina

  • The human motor neuron pools receive a dominant slow-varying common synaptic input.

    Francesco Negro;Utku Suekrue Yavuz;Dario Farina

Frequent Co-Authors

Dario Farina
Dario Farina Imperial College London
Deborah Falla
Deborah Falla University of Birmingham
Charles J. Heckman
Charles J. Heckman Northwestern University
Roger M. Enoka
Roger M. Enoka University of Colorado Boulder
Ning Jiang
Ning Jiang University of Waterloo
Ken Yoshida
Ken Yoshida Indiana University – Purdue University Indianapolis
Brian D. Schmit
Brian D. Schmit Marquette University
Silvia Conforto
Silvia Conforto Roma Tre University
Jose C. Principe
Jose C. Principe University of Florida
Monica A. Gorassini
Monica A. Gorassini University of Alberta

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Best Scientists Citing Francesco Negro

Dario Farina

Dario Farina

Imperial College London

Publications: 138

Roger M. Enoka

Roger M. Enoka

University of Colorado Boulder

Publications: 46

Deborah Falla

Deborah Falla

University of Birmingham

Publications: 30

Xiangyang Zhu

Xiangyang Zhu

Shanghai Jiao Tong University

Publications: 22

Jose L Pons

Jose L Pons

Shirley Ryan AbilityLab

Publications: 20

Tjeerd W. Boonstra

Tjeerd W. Boonstra

Maastricht University

Publications: 19

William Z. Rymer

William Z. Rymer

Shirley Ryan AbilityLab

Publications: 19

Yuan Yang

Yuan Yang

Columbia University

Publications: 17

Roberto Merletti

Roberto Merletti

Polytechnic University of Turin

Publications: 17

Charles J. Heckman

Charles J. Heckman

Northwestern University

Publications: 13

Ning Jiang

Ning Jiang

University of Waterloo

Publications: 12

Nitish V. Thakor

Nitish V. Thakor

National University of Singapore

Publications: 11

Matthew C. Kiernan

Matthew C. Kiernan

Royal Prince Alfred Hospital

Publications: 9

Simon C. Gandevia

Simon C. Gandevia

Neuroscience Research Australia

Publications: 8

Alfred C. Schouten

Alfred C. Schouten

Delft University of Technology

Publications: 8

Per Aagaard

Per Aagaard

University of Southern Denmark

Publications: 8

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