Munir Chowdhury

137 total papers · 10.8k total citations
17 papers, 574 citations indexed

About

Munir Chowdhury is a scholar working on Psychiatry and Mental health, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Munir Chowdhury has authored 17 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Psychiatry and Mental health, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Physiology. Recurrent topics in Munir Chowdhury's work include Dementia and Cognitive Impairment Research (10 papers), Alzheimer's disease research and treatments (5 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Munir Chowdhury is often cited by papers focused on Dementia and Cognitive Impairment Research (10 papers), Alzheimer's disease research and treatments (5 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Munir Chowdhury collaborates with scholars based in United States, Australia and China. Munir Chowdhury's co-authors include John Stirling Meyer, Minh Quach, Gelin Xu, John Thornby, Juebin Huang, Yuan‐Gui Huang, Yansheng Li, Zhenxin Zhang, Jing Wei and Hong Xia and has published in prestigious journals such as Circulation, Stroke and Annals of the New York Academy of Sciences.

In The Last Decade

Munir Chowdhury

16 papers receiving 554 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Munir Chowdhury 360 153 123 80 71 17 574
Xiumei Zuo 253 0.7× 167 1.1× 105 0.9× 130 1.6× 71 1.0× 22 666
Ewelina Mazur 230 0.6× 90 0.6× 67 0.5× 93 1.2× 60 0.8× 27 625
Matthew Paradise 308 0.9× 88 0.6× 91 0.7× 122 1.5× 90 1.3× 18 661
Remigiusz Sokołowski 227 0.6× 82 0.5× 64 0.5× 93 1.2× 42 0.6× 14 499
Dane Rayment 299 0.8× 118 0.8× 49 0.4× 113 1.4× 59 0.8× 9 651
Deborah M. Girling 326 0.9× 166 1.1× 73 0.6× 66 0.8× 75 1.1× 17 610
Julia Hartmann 418 1.2× 128 0.8× 73 0.6× 154 1.9× 66 0.9× 22 657
Cláudia Maia Memória 263 0.7× 72 0.5× 142 1.2× 156 1.9× 56 0.8× 21 560
Laura Maggiore 308 0.9× 204 1.3× 68 0.6× 75 0.9× 39 0.5× 20 541
S. Bonaiuto 408 1.1× 202 1.3× 76 0.6× 36 0.5× 61 0.9× 13 656

Countries citing papers authored by Munir Chowdhury

Since Specialization
Citations

This map shows the geographic impact of Munir Chowdhury'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 Munir Chowdhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Munir Chowdhury more than expected).

Fields of papers citing papers by Munir Chowdhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Munir Chowdhury. 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 Munir Chowdhury. The network helps show where Munir Chowdhury may publish in the future.

Co-authorship network of co-authors of Munir Chowdhury

This figure shows the co-authorship network connecting the top 25 collaborators of Munir Chowdhury. A scholar is included among the top collaborators of Munir Chowdhury based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Munir Chowdhury. Munir Chowdhury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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