World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 63 3423 3131 309 281 204 12529

Michele T.M. Hu publications per year

The chart shows the history of publications by Michele T.M. Hu between 1989 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Michele T.M. Hu published across 33 years, from 1989 to 2021, averaging 6.2 papers a year. Output peaked at 35 publications in 2020. 61 of the 206 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1989 to 2021. Vertical axis: number of publications, 0 to 35. Peak 35 publications in 2020. 1989: 1 publication 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 3 publications 1999: 3 publications 2000: 4 publications 2001: 2 publications 2002: 1 publication 2003: 1 publication 2004: 3 publications 2005: 0 publications 2006: 1 publication 2007: 0 publications 2008: 2 publications 2009: 2 publications 2010: 1 publication 2011: 4 publications 2012: 5 publications 2013: 0 publications 2014: 13 publications 2015: 21 publications 2016: 21 publications 2017: 13 publications 2018: 24 publications 2019: 20 publications 2020: 35 publications 2021: 26 publications
1989 2021

206 publications in total across all disciplines

View publications per year as a table
Michele T.M. Hu: publications per year, 1989 to 2021
Year Publications
1989 1
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 3
1999 3
2000 4
2001 2
2002 1
2003 1
2004 3
2005 0
2006 1
2007 0
2008 2
2009 2
2010 1
2011 4
2012 5
2013 0
2014 13
2015 21
2016 21
2017 13
2018 24
2019 20
2020 35
2021 26
Total 206
Download as CSV

Michele T.M. Hu 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 Michele T.M. Hu sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 198–207 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 publications 887+

This scientist: 204 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306 204
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
Download as CSV

Michele T.M. Hu 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 Michele T.M. Hu sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 62–63 D-Index, is where this scientist sits. 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
30–31 D-Index 163+

This scientist: 63 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260 63
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
Download as CSV

Best Publications

  • Risk and predictors of dementia and parkinsonism in idiopathic REM sleep behaviour disorder: a multicentre study

    Ronald B Postuma;Alex Iranzo;Michele Hu;Birgit Högl

  • Alpha‐synuclein RT‐QuIC in the CSF of patients with alpha‐synucleinopathies

    Graham Fairfoul;Lynne I McGuire;Suvankar Pal;James W Ironside

  • Unbiased screen for interactors of leucine-rich repeat kinase 2 supports a common pathway for sporadic and familial Parkinson disease

    A. Beilina;I. N. Rudenko;A. Kaganovich;L. Civiero

  • A Two-Stage Meta-Analysis Identifies Several New Loci for Parkinson's Disease

    V. Plagnol;M.A. Nalls;J.M. Bras;D.G. Hernandez;D.G. Hernandez

  • ER Stress and Autophagic Perturbations Lead to Elevated Extracellular α-Synuclein in GBA-N370S Parkinson's iPSC-Derived Dopamine Neurons

    Hugo J.R. Fernandes;Elizabeth M. Hartfield;Helen C. Christian;Evangelia Emmanoulidou

  • The influence of age and gender on motor and non-motor features of early Parkinson's disease: Initial findings from the Oxford Parkinson Disease Center (OPDC) discovery cohort

    Konrad Szewczyk-Krolikowski;Paul Tomlinson;Kannan Nithi;Richard Wade-Martins

  • Dopamine enhances willingness to exert effort for reward in Parkinson's disease.

    Trevor T.-J. Chong;Trevor T.-J. Chong;Valerie Bonnelle;Sanjay Manohar;Kai Riin Veromann

  • Cortical dysfunction in non-demented Parkinson's disease patients: a combined (31)P-MRS and (18)FDG-PET study.

    M. T. M. Hu;S. D. Taylor-Robinson;K. R. Chaudhuri;J. D. Bell

  • Predictors of cognitive impairment in an early stage Parkinson's disease cohort.

    Michele T. Mtm Hu;Konrad Szewczyk-Królikowski;Paul Tomlinson;Kannan Nithi

  • Diagnostic value of cerebrospinal fluid alpha-synuclein seed quantification in synucleinopathies

    Unknown

  • Biomarkers of conversion to α-synucleinopathy in isolated rapid-eye-movement sleep behaviour disorder

    Mitchell G. Miglis;Charles H. Adler;Elena Antelmi;Dario Arnaldi

  • Functional connectivity in the basal ganglia network differentiates PD patients from controls.

    K Szewczyk-Krolikowski;Menke Ral.;M Rolinski;E Duff

  • Flail arm syndrome: a distinctive variant of amyotrophic lateral sclerosis

    M T M Hu;C M Ellis;A Al-Chalabi;P N Leigh

  • REM sleep behaviour disorder is associated with worse quality of life and other non-motor features in early Parkinson's disease

    Michal Rolinski;Konrad Szewczyk-Krolikowski;Paul R Tomlinson;Kannan Nithi

  • Developing and validating Parkinson's disease subtypes and their motor and cognitive progression

    Michael Lawton;Yoav Ben-Shlomo;Margaret T May;Fahd Baig

  • Single-Cell Sequencing of iPSC-Dopamine Neurons Reconstructs Disease Progression and Identifies HDAC4 as a Regulator of Parkinson Cell Phenotypes

    Charmaine Lang;Kieran R. Campbell;Brent J. Ryan;Phillippa Carling

  • Genome-Wide Association Studies of Cognitive and Motor Progression in Parkinson's Disease

    Manuela M X Tan;Michael A Lawton;Edwin Jabbari;Regina H Reynolds

  • Prodromal Parkinsonism and Neurodegenerative Risk Stratification in REM Sleep Behavior Disorder

    Thomas R Barber;Michael Lawton;Michal Rolinski;Michal Rolinski;Samuel Evetts

  • Distinct effects of apathy and dopamine on effort-based decision-making in Parkinson's disease.

    Campbell Le Heron;Campbell Le Heron;Olivia Plant;Sanjay Manohar;Sanjay Manohar;Yuen-Siang Ang

  • Identification of distinct circulating exosomes in Parkinson's disease

    Paul R Tomlinson;Ying Zheng;Roman Fischer;Ronny Heidasch

  • Reward sensitivity deficits modulated by dopamine are associated with apathy in Parkinson's disease.

    Kinan Muhammed;Sanjay Manohar;Michael Ben Yehuda;Trevor T.-J. Chong

  • Basal ganglia dysfunction in idiopathic REM sleep behaviour disorder parallels that in early Parkinson’s disease

    Michal Rolinski;Ludovica Griffanti;Paola Piccini;Andreas A. Roussakis

  • Diagnosis Across the Spectrum of Progressive Supranuclear Palsy and Corticobasal Syndrome.

    Edwin Jabbari;Edwin Jabbari;Negin Holland;Viorica Chelban;Viorica Chelban;P Simon Jones

  • Cortical dysfunction in non-demented Parkinson's disease patients. A combined 31P-MRS and 18FDG-PET study

    M. T M Hu;S. D. Taylor-Robinson;K. Ray Chaudhuri;J. D. Bell

Frequent Co-Authors

Yoav Ben-Shlomo
Yoav Ben-Shlomo University of Bristol
Ziv Gan-Or
Ziv Gan-Or McGill University
Clare E. Mackay
Clare E. Mackay University of Oxford
Guy A. Rouleau
Guy A. Rouleau Montreal Neurological Institute and Hospital
Ronald B. Postuma
Ronald B. Postuma McGill University
David J. Burn
David J. Burn Newcastle University
Brit Mollenhauer
Brit Mollenhauer University of Göttingen
Masud Husain
Masud Husain University of Oxford
Birgit Högl
Birgit Högl Innsbruck Medical University
Richard Wade-Martins
Richard Wade-Martins University of Oxford

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Neuroscience in the USA opens up diverse career paths, many of which can be started or advanced through flexible online education. Students interested in boosting employability and earning potential may consider online certificate programs that pay well. These specialized certifications provide practical skills and are valued by employers in healthcare, research, and allied fields.

For those seeking a streamlined academic journey, it’s worth researching online courses and college degrees. These programs can help reduce time and financial investment while still offering quality education needed to break into neuroscience-adjacent roles.

If your interests extend to helping communities or working with people, degrees such as the cheapest online master's in social work can be a cost-effective way to enter fields related to mental health, counseling, or social services.

Additionally, specialization in behavior analysis can meaningfully complement a neuroscience background. For this, consider accredited bcba online programs, which pave the way for roles in therapy, education, or research.

These online pathways offer flexible, affordable, and accessible options to launch or advance your neuroscience-related career.

Best Scientists Citing Michele T.M. Hu

Trending Scientists

Recently Published Articles