Michael D. Greicius

50.0k citations
124 papers · 34.7k indexed · 20 hit papers · h-index 53

Michael D. Greicius

118 papers receiving 34.1k citations

Hit Papers

APOE Gen...98200220262010201850010001.5k

Peers

Michael D. Greicius
Comparison fields: 5 of 187
  • Cognitive Neuroscience 26.7k
  • Psychiatry and Mental health 6.2k
  • Radiology, Nuclear Medicine and Imaging 9.3k
  • Experimental and Cognitive Psychology 5.2k
  • Neurology 2.7k
Replace Yong He with:
Yong He China
Angela R. Laird United States
Bernard Mazoyer France
Allan L. Reiss United States
Tianzi Jiang China
Arno Villringer Germany
Bradford C. Dickerson United States
Ronald Killiany United States
Nikos Makris United States
Vinod Menon United States
Michael D. Greicius relative to Yong He China Yong He's profile →
Citations per field
00.5×1.5×2.1×
Yong He · 1×
Citations per year

Countries citing papers authored by Michael D. Greicius

Since Specialization
Citations

This map shows the geographic impact of Michael D. Greicius's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael D. Greicius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Greicius more than expected).

Fields of papers citing papers by Michael D. Greicius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Greicius. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael D. Greicius. The network helps show where Michael D. Greicius may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michael D. Greicius, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael D. Greicius Line = papers co-authored together Michael D. Greicius links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20245
5 20242
6 202421
7 202331
8 20231
9 20238
10 202125
11 201734
12 201522
13 2013240
14 201348
15 2011267
16
Decoding Subject-Driven Cognitive States with Whole-Brain Connectivity Patternsbreakdown →
20111435
17 2010478
18 2010391
19
Distinct Cerebellar Contributions to Intrinsic Connectivity Networksbreakdown →
2009891
20 200312

About Michael D. Greicius

Michael D. Greicius is a scholar working on Cognitive Neuroscience, Neurology and Psychiatry and Mental health, having authored 124 papers that have together received 34.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (50 papers), Alzheimer's disease research and treatments (26 papers), Neural dynamics and brain function (25 papers), Genetic Associations and Epidemiology (22 papers), Dementia and Cognitive Impairment Research (21 papers), Bioinformatics and Genomic Networks (14 papers), EEG and Brain-Computer Interfaces (12 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). The work is most often cited by research in Cognitive Neuroscience (26.7k citations), Psychiatry and Mental health (6.2k citations) and Radiology, Nuclear Medicine and Imaging (9.3k citations). Michael D. Greicius has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Vinod Menon, Allan L. Reiss, William W. Seeley, Alan F. Schatzberg, Gary H. Glover, Heather A. Kenna, Gaurav Srivastava, Jennifer Keller, Kaustubh Supekar and Bruce L. Miller. Their work appears in journals such as Alzheimer s & Dementia, Cerebral Cortex, NeuroImage, Brain and JAMA Neurology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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