D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Medicine D-index 104 Citations 57,925 480 World Ranking 3097 National Ranking 121

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Gene
  • Disease

His scientific interests lie mostly in Stroke, Genome-wide association study, Genetics, Pathology and Internal medicine. His Stroke study integrates concerns from other disciplines, such as Coronary artery disease, Dementia, Disease, Vascular disease and Ischemia. His research in Genome-wide association study intersects with topics in Meta-analysis, Case-control study, Genetic association and Bioinformatics.

His Genetics research is multidisciplinary, incorporating elements of Familial hemiplegic migraine and Migraine. His research integrates issues of White matter, Magnetic resonance imaging and Hyperintensity in his study of Pathology. His study explores the link between Internal medicine and topics such as Cardiology that cross with problems in Cerebral infarction.

His most cited work include:

  • The International Classification of Headache Disorders, 3rd edition (beta version) (5079 citations)
  • Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease (2556 citations)
  • Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration (2148 citations)

What are the main themes of his work throughout his whole career to date?

Stroke, Internal medicine, Pathology, CADASIL and Disease are his primary areas of study. The various areas that Martin Dichgans examines in his Stroke study include Vascular disease, Genome-wide association study, Dementia and Blood pressure. His studies deal with areas such as Case-control study, Genetic association and Bioinformatics as well as Genome-wide association study.

Mendelian randomization is closely connected to Cardiology in his research, which is encompassed under the umbrella topic of Internal medicine. Martin Dichgans studied Pathology and Hyperintensity that intersect with Lesion. His Disease study frequently draws connections between related disciplines such as Neuroscience.

He most often published in these fields:

  • Stroke (40.45%)
  • Internal medicine (36.12%)
  • Pathology (21.99%)

What were the highlights of his more recent work (between 2019-2021)?

  • Internal medicine (36.12%)
  • Disease (20.06%)
  • Stroke (40.45%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Internal medicine, Disease, Stroke, Cardiology and Mendelian randomization. His Internal medicine research is multidisciplinary, incorporating perspectives in Endocrinology and Oncology. Martin Dichgans combines subjects such as Neuroscience and Bioinformatics with his study of Disease.

Martin Dichgans interconnects Meta-analysis, Lesion and Genome-wide association study in the investigation of issues within Stroke. His Hyperintensity research extends to Genome-wide association study, which is thematically connected. His Mendelian randomization study combines topics from a wide range of disciplines, such as Odds ratio, Body mass index, Genetic predisposition, Confidence interval and Genetic association.

Between 2019 and 2021, his most popular works were:

  • Machine learning analysis of whole mouse brain vasculature. (39 citations)
  • Machine learning analysis of whole mouse brain vasculature. (39 citations)
  • The global burden of neurological disorders: translating evidence into policy. (32 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Gene
  • Disease

Martin Dichgans focuses on Disease, Internal medicine, Stroke, Cardiology and Neuroscience. His research in the fields of Dementia and Cognitive decline overlaps with other disciplines such as Medium term. His study looks at the relationship between Internal medicine and fields such as Immune system, as well as how they intersect with chemical problems.

His Stroke research includes elements of Odds ratio, Mendelian randomization, Obesity and Etiology. His Cardiology study combines topics in areas such as Endovascular treatment and Logistic regression. The study incorporates disciplines such as Tau pathology and Patient centered in addition to Neuroscience.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The International Classification of Headache Disorders, 3rd edition (beta version)

Jes Olesen;André Bes;Robert Kunkel;James W. Lance.
Cephalalgia (2013)

8945 Citations

Erratum: Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease (Nature Genetics (2009) 41 (1088-1093))

D Harold;R Abraham;P Hollingworth;R Sims.
Nature Genetics (2013)

2731 Citations

Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration

Joanna M. Wardlaw;Eric E. Smith;Geert J Biessels;Charlotte Cordonnier.
Lancet Neurology (2013)

2598 Citations

Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease.

Denise Harold;Richard Abraham;Paul Hollingworth;Rebecca Sims.
Nature Genetics (2009)

2573 Citations

National Institute of Neurological Disorders and Stroke–Canadian Stroke Network Vascular Cognitive Impairment Harmonization Standards

Vladimir Hachinski;Costantino Iadecola;Ron C. Petersen;Monique M. Breteler.
Stroke (2006)

1923 Citations

Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease

Paul Hollingworth;Denise Harold;Rebecca Sims;Amy Gerrish.
Nature Genetics (2011)

1570 Citations

Mechanisms of sporadic cerebral small vessel disease: insights from neuroimaging

Joanna M Wardlaw;Colin Smith;Martin Dichgans;Martin Dichgans.
Lancet Neurology (2013)

1186 Citations

Mutation in the neuronal voltage-gated sodium channel SCN1A in familial hemiplegic migraine.

Martin Dichgans;Tobias Freilinger;Gertrud Eckstein;Elena Babini.
The Lancet (2005)

913 Citations

The phenotypic spectrum of CADASIL: clinical findings in 102 cases.

M. Dichgans;M. Mayer;I. Uttner;R. Brüning.
Annals of Neurology (1998)

779 Citations

Genetic evidence implicates the immune system and cholesterol metabolism in the aetiology of Alzheimer's disease.

Lesley Jones;Peter A. Holmans;Marian L. Hamshere;Denise Harold.
PLOS ONE (2010)

769 Citations

Best Scientists Citing Martin Dichgans

Joanna M. Wardlaw

Joanna M. Wardlaw

University of Edinburgh

Publications: 209

Peter J. Goadsby

Peter J. Goadsby

University of California, Los Angeles

Publications: 199

Hugh S. Markus

Hugh S. Markus

University of Cambridge

Publications: 140

Steven M. Greenberg

Steven M. Greenberg

Harvard University

Publications: 131

Sudha Seshadri

Sudha Seshadri

Boston University

Publications: 127

Philip L. De Jager

Philip L. De Jager

Columbia University

Publications: 123

Patrick T. Ellinor

Patrick T. Ellinor

Harvard University

Publications: 121

Lan Tan

Lan Tan

Qingdao University

Publications: 115

Jonathan Rosand

Jonathan Rosand

Harvard University

Publications: 115

Richard B. Lipton

Richard B. Lipton

Albert Einstein College of Medicine

Publications: 114

Jin-Tai Yu

Jin-Tai Yu

Fudan University

Publications: 113

David A. Bennett

David A. Bennett

Rush University Medical Center

Publications: 112

Ian J. Deary

Ian J. Deary

University of Edinburgh

Publications: 111

John Hardy

John Hardy

University College London

Publications: 109

Christopher Chen

Christopher Chen

National University of Singapore

Publications: 109

David J. Werring

David J. Werring

University College London

Publications: 108

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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