World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
43
Citations
6300
World Ranking
7455
National Ranking
3211

Marc J. Kaufman 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 Marc J. Kaufman 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: 121 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Marc J. Kaufman 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 Marc J. Kaufman 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: 43 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Marc J. Kaufman is affiliated with Harvard University in the United States. Their research expertise spans several main fields including Neuroscience, Medicine, and Biochemistry, Genetics and Molecular Biology. Their scholarly output reflects extensive work in subfields such as Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, and Developmental Neuroscience.

The scientist's contributions cover a range of key topics, notably Functional Brain Connectivity Studies, Hormonal and Reproductive Studies, HIV Research and Treatment, Sexual Differentiation and Disorders, HIV-related Health Complications and Treatments, Neuroscience and Neuropharmacology Research, as well as Anesthesia and Neurotoxicity Research.

Frequent coauthors in their publications include Harrison G. Pope, James I. Hudson, Alaa N. Qrareya, Gen Kanayama, and Jason J. Paris. Their work has been published in several recurrent venues such as GeroScience, Aging, Drug and Alcohol Dependence, Nature Protocols, and Communications Biology.

Selected recent papers authored or coauthored by Marc J. Kaufman include:

  • A methodological checklist for fMRI drug cue reactivity studies: development and expert consensus, 2022, Nature Protocols
  • Clathrin-nanoparticles deliver BDNF to hippocampus and enhance neurogenesis, synaptogenesis and cognition in HIV/neuroAIDS mouse model, 2022, Communications Biology
  • Review Article: Anabolic-Androgenic Steroids, Violence, and Crime: Two Cases and Literature Review, 2021, American Journal on Addictions
  • Parameter Space and Potential for Biomarker Development in 25 Years of fMRI Drug Cue Reactivity, 2024, JAMA Psychiatry
  • HIV-1 Tat promotes age-related cognitive, anxiety-like, and antinociceptive impairments in female mice that are moderated by aging and endocrine status, 2020, GeroScience

Best Publications

  • Functional Magnetic Resonance Imaging of Human Brain Activation During Cue-Induced Cocaine Craving

    Luis C. Maas;Scott E. Lukas;Marc J. Kaufman;Roger D. Weiss

  • Brain Reactivity to Smoking Cues Prior to Smoking Cessation Predicts Ability to Maintain Tobacco Abstinence

    Amy C. Janes;Diego A. Pizzagalli;Sarah Richardt;Blaise de B. Frederick

  • Severe depletion of cocaine recognition sites associated with the dopamine transporter in Parkinson's-diseased striatum

    Marc J. Kaufman;Bertha K. Madras

  • Cocaine-Induced Cerebral Vasoconstriction Detected in Humans With Magnetic Resonance Angiography

    Marc J. Kaufman;Jonathan M. Levin;Marjorie H. Ross;Nicholas Lange

  • Prefrontal and temporal gray matter density decreases in opiate dependence.

    In Kyoon Lyoo;In Kyoon Lyoo;Mark H. Pollack;Marisa M. Silveri;Kyung Heup Ahn

  • Cerebellar gray matter volume correlates with duration of cocaine use in cocaine-dependent subjects.

    Minyoung E Sim;In Kyoon Lyoo;In Kyoon Lyoo;Chris C Streeter;Julie Covell

  • Expression of HIV-Tat protein is associated with learning and memory deficits in the mouse.

    Amanda N. Carey;Elizabeth I. Sypek;Harminder D. Singh;Marc J. Kaufman

  • Cocaine pharmacokinetics in men and in women during the follicular and luteal phases of the menstrual cycle.

    Jack H Mendelson;Nancy K Mello;Michelle B Sholar;Arthur J Siegel

  • Prefrontal and limbic resting state brain network functional connectivity differs between nicotine-dependent smokers and non-smoking controls

    Amy C Janes;Lisa D Nickerson;Blaise De B Frederick;Marc J Kaufman

  • White matter hyperintensities in subjects with cocaine and opiate dependence and healthy comparison subjects.

    In Kyoon Lyoo;Chris C Streeter;Kyung Heup Ahn;Ho Kyu Lee

  • Autoradiographic localization of cocaine binding sites by [3H]CFT ([3H]WIN 35,428) in the monkey brain.

    Don R. Canfield;Roger D. Spealman;Marc J. Kaufman;Bertha K. Madras

  • Reduction in BOLD fMRI response to primary visual stimulation following alcohol ingestion.

    Jonathan M Levin;Marjorie H Ross;Jack H Mendelson;Jack H Mendelson;Marc J Kaufman;Marc J Kaufman

  • Neural substrates of attentional bias for smoking-related cues: an FMRI study.

    Amy C Janes;Diego A Pizzagalli;Sarah Richardt;Blaise de B Frederick

  • Brain and cognition abnormalities in long-term anabolic-androgenic steroid users

    Marc J. Kaufman;Amy C. Janes;James I. Hudson;Brian P. Brennan

  • Cerebellar vermis involvement in cocaine-related behaviors.

    Carl M. Anderson;Luis C. Maas;Blaise De B. Frederick;Jacob T. Bendor

  • Carbon monoxide exposure potentiates high-frequency auditory threshold shifts induced by noise.

    John S. Young;Margaret B. Upchurch;Marc J. Kaufman;Laurence D. Fechter

  • Methadone maintenance improves cognitive performance after two months of treatment.

    Staci A. Gruber;Golfo K. Tzilos;Marisa M. Silveri;Mark Pollack

  • Influence of baseline hematocrit and hemodilution on BOLD fMRI activation.

    Jonathan M. Levin;Blaise De B. Frederick;Marjorie H. Ross;Jonathan F. Fox

  • Cocaine decreases relative cerebral blood volume in humans: a dynamic susceptibility contrast magnetic resonance imaging study.

    Marc J. Kaufman;Jonathan M. Levin;Luis C. Maas;Stephanie L. Rose

  • Abnormal cerebral metabolism in polydrug abusers during early withdrawal: a 31P MR spectroscopy study.

    J D Christensen;M J Kaufman;J M Levin;J M Levin;J H Mendelson

Frequent Co-Authors

Perry F. Renshaw
Perry F. Renshaw University of Utah
Bruce M. Cohen
Bruce M. Cohen Harvard University
Scott E. Lukas
Scott E. Lukas Harvard Medical School
Jack H. Mendelson
Jack H. Mendelson Harvard University
Blaise deB. Frederick
Blaise deB. Frederick Harvard University
James I. Hudson
James I. Hudson Harvard University
Harrison G. Pope
Harrison G. Pope Harvard University
J. Eric Jensen
J. Eric Jensen Harvard University
Maurizio Fava
Maurizio Fava Harvard University
Bertha K. Madras
Bertha K. Madras Harvard University

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