Sulantha Mathotaarachchi

4.9k citations
67 papers · 1.8k indexed · h-index 21
Topics
Alzheimer's disease research and treatments (36 papers)Dementia and Cognitive Impairment Research (35 papers)Functional Brain Connectivity Studies (16 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaBrain

In The Last Decade

Sulantha Mathotaarachchi

66 papers receiving 1.8k citations

Peers

Sulantha Mathotaarachchi
Comparison fields: 5 of 104
  • Physiology 1.2k
  • Psychiatry and Mental health 849
  • Radiology, Nuclear Medicine and Imaging 369
  • Cognitive Neuroscience 354
  • Molecular Biology 311
Replace Min Su Kang with:
Min Su Kang Canada
Andréa Lessa Benedet Canada
Daniele Altomare Switzerland
Sander C.J. Verfaillie Netherlands
Monica Shin Canada
Joyce Suhy United States
Timothy Rittman United Kingdom
Samantha Galluzzi Italy
Tharick A. Pascoal Canada
Alexandra L. Young United Kingdom
Sulantha Mathotaarachchi relative to Min Su Kang Canada Min Su Kang's profile →
Citations per field
00.5×1.5×
Min Su Kang · 1×
Citations per year

Countries citing papers authored by Sulantha Mathotaarachchi

Since Specialization
Citations

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

Fields of papers citing papers by Sulantha Mathotaarachchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sulantha Mathotaarachchi

This figure shows the co-authorship network connecting the top 25 collaborators of Sulantha Mathotaarachchi. A scholar is included among the top collaborators of Sulantha Mathotaarachchi 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 Sulantha Mathotaarachchi. Sulantha Mathotaarachchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 22
2 100
3 1
4 18
5 27
6 17
7 20
8 25
9 11
10 19
11 5
12 18
13 19
14 10
15 248
16 78
17 98
18 3
19 1
20 11

About Sulantha Mathotaarachchi

Sulantha Mathotaarachchi is a scholar working on Psychiatry and Mental health, Physiology and Neurology, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (36 papers), Dementia and Cognitive Impairment Research (35 papers) and Functional Brain Connectivity Studies (16 papers). The work is most often cited by research in Psychiatry and Mental health (849 citations), Physiology (1.2k citations) and Neurology (289 citations). Sulantha Mathotaarachchi has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Pedro Rosa‐Neto, Tharick A. Pascoal, Serge Gauthier, Min Su Kang, Andréa Lessa Benedet, Joseph Therriault, Monica Shin, Mira Chamoun, Gassan Massarweh and Mélissa Savard. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Brain.

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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