World's Best Scientists 2026 revealed!
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Mark Stopfer

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 35 9150 8449 3860 3494 91 5926

Mark Stopfer publications per year

The chart shows the history of publications by Mark Stopfer between 1986 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mark Stopfer published across 40 years, from 1986 to 2025, averaging 2.6 papers a year. Output peaked at 11 publications in 2023. 2 of the 105 publications appeared in the last two years.

No. of publications
2 4 6 8 10
Bar chart. Horizontal axis: year, 1986 to 2025. Vertical axis: number of publications, 0 to 11. Peak 11 publications in 2023. 1986: 1 publication 1987: 2 publications 1988: 4 publications 1989: 0 publications 1990: 2 publications 1991: 1 publication 1992: 0 publications 1993: 1 publication 1994: 0 publications 1995: 0 publications 1996: 3 publications 1997: 1 publication 1998: 1 publication 1999: 4 publications 2000: 1 publication 2001: 4 publications 2002: 0 publications 2003: 1 publication 2004: 1 publication 2005: 3 publications 2006: 1 publication 2007: 3 publications 2008: 5 publications 2009: 2 publications 2010: 4 publications 2011: 7 publications 2012: 7 publications 2013: 2 publications 2014: 4 publications 2015: 6 publications 2016: 3 publications 2017: 3 publications 2018: 3 publications 2019: 1 publication 2020: 4 publications 2021: 1 publication 2022: 6 publications 2023: 11 publications 2024: 0 publications 2025: 2 publications
1986 2025

105 publications in total across all disciplines

View publications per year as a table
Mark Stopfer: publications per year, 1986 to 2025
Year Publications
1986 1
1987 2
1988 4
1989 0
1990 2
1991 1
1992 0
1993 1
1994 0
1995 0
1996 3
1997 1
1998 1
1999 4
2000 1
2001 4
2002 0
2003 1
2004 1
2005 3
2006 1
2007 3
2008 5
2009 2
2010 4
2011 7
2012 7
2013 2
2014 4
2015 6
2016 3
2017 3
2018 3
2019 1
2020 4
2021 1
2022 6
2023 11
2024 0
2025 2
Total 105
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Mark Stopfer 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 Mark Stopfer 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, 88–97 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: 91 publications — 12th percentile

12% 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 91
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
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

Mark Stopfer 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 Mark Stopfer 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, 34–35 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: 35 D-Index — 5th percentile

5% 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 35
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
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

Overview

Mark Stopfer is affiliated with the National Institutes of Health in the United States. Their research primarily focuses on neuroscience, with substantial work in agricultural and biological sciences. Within these fields, they have contributed to subfields including cellular and molecular neuroscience, insect science, sensory systems, genetics, and ecology, evolution, behavior, and systematics.

The scientist's research interests span several key topics: neurobiology and insect physiology research, insect pheromone research and control, olfactory and sensory function studies, insect and arachnid ecology and behavior, advanced chemical sensor technologies, plant and animal studies, and ocular surface and contact lens studies.

Mark Stopfer has published extensively in various scientific venues. Frequent publication outlets include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • Scientific Reports
  • Progress in Retinal and Eye Research

They have collaborated repeatedly with coauthors including Subhasis Ray, Zane Aldworth, Kui Sun, Nitin Gupta, and Maxim Bazhenov.

Stopfer's recent scholarly articles include:

  • "Feedback inhibition and its control in an insect olfactory circuit," 2020, eLife
  • "Myelination of peripheral nerves is controlled by PI4KB through regulation of Schwann cell Golgi function," 2020, Proceedings of the National Academy of Sciences
  • "Optimality of sparse olfactory representations is not affected by network plasticity," 2020, PLoS Computational Biology
  • "Olfactory receptor neurons generate multiple response motifs, increasing coding space dimensionality," 2023, eLife
  • "Argos: A toolkit for tracking multiple animals in complex visual environments," 2021, Methods in Ecology and Evolution

Best Publications

  • Impaired Odour Discrimination on Desynchronization of Odour-Encoding Neural Assemblies

    Mark Stopfer;Seetha Bhagavan;Seetha Bhagavan;Brian H. Smith;Gilles Laurent

  • Intensity versus Identity Coding in an Olfactory System

    Mark Stopfer;Vivek Jayaraman;Gilles Laurent

  • Odor encoding as an active, dynamical process : Experiments, computation, and theory

    Gilles Laurent;Mark Stopfer;Rainer W. Friedrich;Misha I. Rabinovich

  • Short-term memory in olfactory network dynamics

    Mark Stopfer;Gilles Laurent

  • Model of Transient Oscillatory Synchronization in the Locust Antennal Lobe

    Maxim Bazhenov;Mark Stopfer;Mikhail Rabinovich;Ramon Huerta

  • Encoding a temporally structured stimulus with a temporally structured neural representation.

    Stacey L Brown;Joby Joseph;Mark Stopfer

  • Sparse odor representation and olfactory learning.

    Iori Ito;Rose Chik-ying Ong;Rose Chik-ying Ong;Baranidharan Raman;Baranidharan Raman;Mark Stopfer

  • Model of cellular and network mechanisms for odor-evoked temporal patterning in the locust antennal lobe.

    Maxim Bazhenov;Mark Stopfer;Mikhail Rabinovich;Henry D.I. Abarbanel

  • Information processing in the olfactory systems of insects and vertebrates.

    Leslie M. Kay;Mark Stopfer

  • Odor-Evoked Neural Oscillations in Drosophila Are Mediated by Widely Branching Interneurons

    Nobuaki K. Tanaka;Kei Ito;Mark Stopfer

  • Temporally Diverse Firing Patterns in Olfactory Receptor Neurons Underlie Spatiotemporal Neural Codes for Odors

    Baranidharan Raman;Joby Joseph;Jeff Tang;Mark Stopfer

  • Adaptive regulation of sparseness by feedforward inhibition

    Collins Assisi;Mark Stopfer;Gilles Laurent;Maxim Bazhenov

  • Functional Analysis of a Higher Olfactory Center, the Lateral Horn

    Nitin Gupta;Mark Stopfer

  • Synaptic learning rules and sparse coding in a model sensory system.

    Luca A. Finelli;Seth Haney;Maxim Bazhenov;Mark Stopfer

  • Fast Odor Learning Improves Reliability of Odor Responses in the Locust Antennal Lobe

    Maxim Bazhenov;Mark Stopfer;Mark Stopfer;Terrence J. Sejnowski;Terrence J. Sejnowski;Gilles Laurent

  • Frequency transitions in odor-evoked neural oscillations.

    Iori Ito;Maxim Bazhenov;Rose Chik-ying Ong;Rose Chik-ying Ong;Baranidharan Raman;Baranidharan Raman

  • Recent dynamics in olfactory population coding

    Rainer W. Friedrich;Mark Stopfer

  • Heterosynaptic Facilitation of Tail Sensory Neuron Synaptic Transmission during Habituation in Tail-Induced Tail and Siphon Withdrawal Reflexes of Aplysia

    Mark Stopfer;Thomas J. Carew

  • Neural Encoding of Odors during Active Sampling and in Turbulent Plumes

    Stephen J. Huston;Mark Stopfer;Stijn Cassenaer;Zane N. Aldworth

  • Dynamical coding of sensory information with competitive networks

    M. I. Rabinovich;R. Huerta;R. Huerta;A. Volkovskii;H. D. Abarbanel

Frequent Co-Authors

Maxim Bazhenov
Maxim Bazhenov University of California, San Diego
Gilles Laurent
Gilles Laurent Max Planck Society
Thomas J. Carew
Thomas J. Carew New York University
Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Catharine H. Rankin
Catharine H. Rankin University of British Columbia
Mikhail I. Rabinovich
Mikhail I. Rabinovich University of California, San Diego
Ramón Huerta
Ramón Huerta Autonomous University of Madrid
Kei Ito
Kei Ito University of Cologne
Rainer W. Friedrich
Rainer W. Friedrich Friedrich Miescher Institute
Tamas Balla
Tamas Balla National Institutes of Health

External Links

Personal website of Mark Stopfer

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Related Online Degrees & Career Pathways

If you're interested in Neuroscience, a variety of related online degrees and career pathways in psychology and social work can help broaden your expertise and career options. Many students consider pairing or supplementing their Neuroscience studies with degrees centered on mental health, therapy, or social services. These pathways offer flexibility via online learning and can open doors to diverse professions.

Psychology remains a key field connected to Neuroscience. Pursuing an online degree in psychology provides a broad foundation, while an online masters psychology program lets you specialize further and qualify for higher-level roles. For those seeking to work in clinical or counseling settings, an marriage and family therapy degree online is a strong choice, focusing on therapeutic skills that are in high demand.

Additionally, if you're drawn to roles in social advocacy or community mental health, you can explore msw degree programs. These social work programs emphasize practical skills and prepare graduates for licensure, making them valuable companions to a background in Neuroscience.

Best Scientists Citing Mark Stopfer

Ramón Huerta

Ramón Huerta

Autonomous University of Madrid

Publications: 36

Bill S. Hansson

Bill S. Hansson

Max Planck Society

Publications: 29

Randolf Menzel

Randolf Menzel

Freie Universität Berlin

Publications: 29

Gilles Laurent

Gilles Laurent

Max Planck Society

Publications: 29

C. Giovanni Galizia

C. Giovanni Galizia

University of Konstanz

Publications: 27

Maxim Bazhenov

Maxim Bazhenov

University of California, San Diego

Publications: 26

Leslie M. Kay

Leslie M. Kay

University of Chicago

Publications: 22

Rainer W. Friedrich

Rainer W. Friedrich

Friedrich Miescher Institute

Publications: 22

Mikhail I. Rabinovich

Mikhail I. Rabinovich

University of California, San Diego

Publications: 22

Thomas J. Carew

Thomas J. Carew

New York University

Publications: 21

Pierre-Marie Lledo

Pierre-Marie Lledo

Institut Pasteur

Publications: 20

Gregory S.X.E. Jefferis

Gregory S.X.E. Jefferis

MRC Laboratory of Molecular Biology

Publications: 19

Nathaniel N. Urban

Nathaniel N. Urban

University of Pittsburgh

Publications: 19

Martin Giurfa

Martin Giurfa

Sorbonne University

Publications: 18

Thomas A. Cleland

Thomas A. Cleland

Cornell University

Publications: 17

Peter Kloppenburg

Peter Kloppenburg

University of Cologne

Publications: 16

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