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Martin A. Lindquist

D-Index & Metrics

Neuroscience

D-Index
60
Citations
18008
World Ranking
3775
National Ranking
1728

Martin A. Lindquist 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 Martin A. Lindquist sits on this spectrum.

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38 publications 887+

This scientist: 188 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Martin A. Lindquist 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 Martin A. Lindquist 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: 60 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - Fellow of the American Statistical Association (ASA)

Overview

Martin A. Lindquist is a researcher affiliated with Johns Hopkins University in the United States. Their work spans extensively across the fields of Medicine and Neuroscience, with a particular emphasis on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental Health, Pharmacology, and Physiology.

The primary topics investigated by Lindquist include Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Neural dynamics and brain function, Advanced MRI Techniques and Applications, Musculoskeletal pain and rehabilitation, Pain Management and Placebo Effect, and EEG and Brain-Computer Interfaces.

Lindquist's publication record is marked by contributions in several prominent academic venues. Frequent publication outlets include bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Pain, NeuroImage, and Human Brain Mapping. These platforms reflect a focus on both preprint dissemination and peer-reviewed journals related to pain research and neuroimaging.

Some of the recent papers authored or coauthored by Lindquist are:

  • Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures, 2023, Pain
  • A human colliculus-pulvinar-amygdala pathway encodes negative emotion, 2021, Neuron
  • Children with attention-deficit/hyperactivity disorder spend more time in hyperconnected network states and less time in segregated network states as revealed by dynamic connectivity analysis, 2021, NeuroImage
  • Genetic risk shared across 24 chronic pain conditions: identification and characterization with genomic structural equation modeling, 2023, Pain
  • A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination, 2023, Nature Communications

The research network of Martin A. Lindquist includes frequent collaborations with several coauthors, such as Tor D. Wager, Brian Caffo, James J. Pekar, Hamed Honari, and Patrick Sadil. These collaborations suggest a multidisciplinary approach involving varied expertise.

Lindquist's work is recognized through awards such as the Fellow of the American Statistical Association (ASA) in 2016, indicating a standing in statistical methodology relevant to their research domains.

Best Publications

  • Prefrontal-subcortical pathways mediating successful emotion regulation.

    Tor D. Wager;Matthew L. Davidson;Brent L. Hughes;Martin A. Lindquist

  • Fmri-based neurologic signature of physical pain

    Tor Wager;Martin Lindquist

  • Building better biomarkers: brain models in translational neuroimaging

    Choong Wan Woo;Luke J. Chang;Martin A. Lindquist;Tor D. Wager

  • The Statistical Analysis of fMRI Data.

    Martin A. Lindquist

  • Modeling the Hemodynamic Response Function in fMRI: Efficiency, Bias and Mis-modeling

    Martin A. Lindquist;Ji Meng Loh;Lauren Y. Atlas;Tor D. Wager

  • Questions and controversies in the study of time-varying functional connectivity in resting fMRI

    Daniel J. Lurie;Daniel Kessler;Danielle S. Bassett;Richard F. Betzel

  • Meta-analysis of functional neuroimaging data: current and future directions

    Tor D. Wager;Martin Lindquist;Lauren Kaplan

  • Brain mediators of predictive cue effects on perceived pain

    Lauren Y. Atlas;Niall Bolger;Martin A. Lindquist;Tor D. Wager

  • Brain mediators of cardiovascular responses to social threat: part I: Reciprocal dorsal and ventral sub-regions of the medial prefrontal cortex and heart-rate reactivity.

    Tor D. Wager;Christian E. Waugh;Martin A. Lindquist;Douglas C. Noll

  • Evaluating dynamic bivariate correlations in resting-state fMRI: a comparison study and a new approach.

    Martin A. Lindquist;Yuting Xu;Mary Beth Nebel;Brain S. Caffo

  • Spin-echo fMRI in humans using high spatial resolutions and high magnetic fields.

    Essa Yacoub;Timothy Q. Duong;Pierre-Francois Van de Moortele;Martin Lindquist

  • Separate neural representations for physical pain and social rejection

    Choong Wan Woo;Leonie Koban;Ethan Kross;Martin A. Lindquist

  • Dynamic connectivity regression: determining state-related changes in brain connectivity.

    Ivor Cribben;Ragnheidur Haraldsdottir;Lauren Y. Atlas;Tor D. Wager

  • Detection of time-varying signals in event-related fMRI designs.

    Jack Grinband;Tor D. Wager;Martin A. Lindquist;Vincent P. Ferrera

  • Brain mediators of cardiovascular responses to social threat, Part II: Prefrontal-subcortical pathways and relationship with anxiety

    Tor D. Wager;Vanessa A. van Ast;Brent L. Hughes;Matthew L. Davidson

  • Evaluating the consistency and specificity of neuroimaging data using meta-analysis.

    Tor D. Wager;Martin A. Lindquist;Thomas E. Nichols;Thomas E. Nichols;Hedy Kober

  • Quantifying cerebral contributions to pain beyond nociception.

    Choong Wan Woo;Liane Schmidt;Anjali Krishnan;Marieke Jepma

  • Modular preprocessing pipelines can reintroduce artifacts into fMRI data

    Martin A. Lindquist;Stephan Geuter;Stephan Geuter;Tor D. Wager;Brian S. Caffo

  • Everything You Never Wanted to Know about Circular Analysis, but Were Afraid to Ask

    Nikolaus Kriegeskorte;Martin A Lindquist;Thomas E Nichols;Thomas E Nichols;Thomas E Nichols;Russell A Poldrack

  • Comparing test-retest reliability of dynamic functional connectivity methods

    Ann S. Choe;Mary Beth Nebel;Anita D. Barber;Jessica R. Cohen

  • Validity and Power in Hemodynamic Response Modeling: A Comparison Study and a New Approach

    Martin A. Lindquist;Tor D. Wager

Frequent Co-Authors

Tor D. Wager
Tor D. Wager Dartmouth College
James J. Pekar
James J. Pekar Kennedy Krieger Institute
Stewart H. Mostofsky
Stewart H. Mostofsky Johns Hopkins University School of Medicine
Wesley K. Thompson
Wesley K. Thompson University of California, San Diego
Pablo Celnik
Pablo Celnik Johns Hopkins University
Moo K. Chung
Moo K. Chung University of Wisconsin–Madison
Hernando Ombao
Hernando Ombao King Abdullah University of Science and Technology
Gary H. Glover
Gary H. Glover Stanford University
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Yuval Neria
Yuval Neria Columbia University

External Links

Personal website of Martin A. Lindquist

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Best Scientists Citing Martin A. Lindquist

Tor D. Wager

Tor D. Wager

Dartmouth College

Publications: 168

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 90

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 82

Thomas E. Nichols

Thomas E. Nichols

University of Oxford

Publications: 50

Essa Yacoub

Essa Yacoub

University of Minnesota

Publications: 46

Lisa Feldman Barrett

Lisa Feldman Barrett

Northeastern University

Publications: 45

Danilo Bzdok

Danilo Bzdok

Montreal Neurological Institute and Hospital

Publications: 45

Karen D. Davis

Karen D. Davis

University Health Network

Publications: 42

Gaël Varoquaux

Gaël Varoquaux

French Institute for Research in Computer Science and Automation - INRIA

Publications: 37

Irene Tracey

Irene Tracey

University of Oxford

Publications: 36

Michael P. Milham

Michael P. Milham

Child Mind Institute

Publications: 35

Jiang Qiu

Jiang Qiu

Southwest University

Publications: 34

Kamil Ugurbil

Kamil Ugurbil

University of Minnesota

Publications: 34

Russell A. Poldrack

Russell A. Poldrack

Stanford University

Publications: 33

Dimitri Van De Ville

Dimitri Van De Ville

École Polytechnique Fédérale de Lausanne

Publications: 33

Kevin N. Ochsner

Kevin N. Ochsner

Columbia University

Publications: 32

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