Linda Mah

2.1k citations
69 papers · 1.2k indexed · h-index 18
Topics
Dementia and Cognitive Impairment Research (27 papers)Functional Brain Connectivity Studies (27 papers)Mental Health Research Topics (7 papers)

In The Last Decade

Linda Mah

64 papers receiving 1.1k citations

Peers

Linda Mah
Comparison fields: 5 of 103
  • Cognitive Neuroscience 496
  • Psychiatry and Mental health 440
  • Physiology 170
  • Experimental and Cognitive Psychology 161
  • Cellular and Molecular Neuroscience 134
Replace Sarah Shizuko Morimoto with:
Sarah Shizuko Morimoto United States
Joost Janzing Netherlands
Lucie L. Herrmann United Kingdom
Matteo Respino Italy
Ivan Koychev United Kingdom
Andrea M. Weinstein United States
Mario Altamura Italy
Fulvia Di Iulio Italy
Sara L. Weisenbach United States
Natalie L. Marchant United Kingdom
Linda Mah relative to Sarah Shizuko Morimoto United States Sarah Shizuko Morimoto's profile →
Citations per field
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Sarah Shizuko Morimoto · 1×
Citations per year

Countries citing papers authored by Linda Mah

Since Specialization
Citations

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

Fields of papers citing papers by Linda Mah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Mah

This figure shows the co-authorship network connecting the top 25 collaborators of Linda Mah. A scholar is included among the top collaborators of Linda Mah 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 Linda Mah. Linda Mah 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 1
2 0
3 2
4 3
5 2
6 6
7 1
8 0
9 1
10 32
11 3
12 9
13 11
14 9
15 2
16 17
17 17
18 3
19 11
20 101

About Linda Mah

Linda Mah is a scholar working on Biological Psychiatry, Psychiatry and Mental health and Cognitive Neuroscience, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (27 papers), Functional Brain Connectivity Studies (27 papers) and Mental Health Research Topics (7 papers). The work is most often cited by research in Biological Psychiatry (118 citations), Psychiatry and Mental health (440 citations) and Cognitive Neuroscience (496 citations). Linda Mah has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Alexandra Fiocco, David C. Steffens, Malcolm A. Binns, Carlos A. Zarate, Wayne C. Drevets, Nathan Herrmann, Bruce G. Pollock, Benoit H. Mulsant, Alastair J. Flint and Tarek K. Rajji. Their work appears in journals such as NeuroImage, Biological Psychiatry and Cerebral Cortex.

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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