Susan Ling

1.9k citations
6 papers · 1.1k · 1 hit paper · h-index 6

Impact in

  • Neurology top 1%
    • Long-Term Effects of COVID-19
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Tryptophan and brain disorders

Papers in

Susan Ling

6 papers receiving 1.1k citations

Susan Ling's Hit Papers

Fatigue and cognitive impairment in Post-COVID-19 Syndrome: A systematic review and meta-analysis 2021 · 914 citations
9140+1+3Years since publication250500750

Peers

Susan Ling
Comparison fields: 5 of 97
  • Neurology 656
  • Biological Psychiatry 68
  • Critical Care and Intensive Care Medicine 112
  • Clinical Psychology 338
  • Neurology 90
Replace Mariagrazia Palladini with:
Mariagrazia Palladini Italy
Mirella Russo Italy
Matthew Butler United Kingdom
Erika L. Nurmi United States
David Shprecher United States
Claudia Carrarini Italy
Jonathan G. Leung United States
Benchalak Maneeton Thailand
Julia Schweiger United States
Michael Yingling United States
Susan Ling relative to Mariagrazia Palladini Italy Mariagrazia Palladini's profile →
Citations per field
00.5×1.5×1.9×
Mariagrazia Palladini · 1×
Citations per year

Countries citing papers authored by Susan Ling

Since Specialization
Citations

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

Fields of papers citing papers by Susan Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Susan Ling, 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 Susan Ling Line = papers co-authored together Susan Ling links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Fatigue and cognitive impairment in Post-COVID-19 Syndrome: A systematic review and meta-analysis
Hit paper breakdown →
2021914
2 202185
3 202157
4 202125
5 202112
6 202211

About Susan Ling

Susan Ling is a scholar working on Cellular and Molecular Neuroscience, Clinical Psychology, Organic Chemistry, Molecular Biology and Pharmacology, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (2 papers), Psychedelics and Drug Studies (2 papers), Long-Term Effects of COVID-19 (1 paper), Tryptophan and brain disorders (1 paper), Chemical synthesis and alkaloids (1 paper), Receptor Mechanisms and Signaling (1 paper), Treatment of Major Depression (1 paper) and Bipolar Disorder and Treatment (1 paper). The work is most often cited by research in Neurology (656 citations), Biological Psychiatry (68 citations), Critical Care and Intensive Care Medicine (112 citations), Clinical Psychology (338 citations) and Neurology (90 citations). Susan Ling has collaborated with scholars based in Canada, Singapore and China. Frequent co-authors include Joshua D. Rosenblat, Leanna M.W. Lui, Felicia Ceban, Kayla M. Teopiz, Roger S. McIntyre, Roger Ho, Rodrigo B. Mansur, Yena Lee, Hartej Gill and Mehala Subramaniapillai. Their work appears in journals such as Journal of Affective Disorders, CNS Drugs, Expert Opinion on Drug Safety, Neuroscience & Biobehavioral Reviews and Brain Behavior and Immunity.

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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