Joan Liu

33 papers receiving 1.4k citations

Peers

Joan Liu
Comparison fields: 5 of 95
  • Psychiatry and Mental health 606
  • Cellular and Molecular Neuroscience 483
  • Developmental Neuroscience 76
  • Pediatrics, Perinatology and Child Health 351
  • Neurology 114
Replace Christopher J. Yuskaitis with:
Christopher J. Yuskaitis United States
Yi‐Wu Shi China
Alberto Javier Ramos Argentina
Shiyong Liu China
Maren Fedrowitz Germany
Massimo Rizzi Italy
Maurizio Cammalleri Italy
Esmerilda G. Delicado Spain
Yong‐Hong Yi China
Joan Liu relative to Christopher J. Yuskaitis United States Christopher J. Yuskaitis's profile →
Citations per field
00.5×1.5×2.3×
Christopher J. Yuskaitis · 1×
Citations per year

Countries citing papers authored by Joan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Joan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016205
2 2013134
3 2011128
4 2012111
5 201483
6 201875
7 201461
8 201746
9 201246
10 201345
11 201536
12 201435
13 201234
14 201833
15 201231
16 201229
17 201728
18 201627
19 201324
20 202023

About Joan Liu

Joan Liu is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Molecular Biology, Pediatrics, Perinatology and Child Health and Physiology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epilepsy research and treatment (14 papers), Neuroscience and Neuropharmacology Research (14 papers), Glioma Diagnosis and Treatment (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Alzheimer's disease research and treatments (4 papers), Pharmacological Effects and Toxicity Studies (3 papers), Neonatal and fetal brain pathology (3 papers) and Fetal and Pediatric Neurological Disorders (3 papers). The work is most often cited by research in Psychiatry and Mental health (606 citations), Cellular and Molecular Neuroscience (483 citations), Developmental Neuroscience (76 citations), Pediatrics, Perinatology and Child Health (351 citations) and Neurology (114 citations). Joan Liu has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Maria Thom, Sanjay M. Sisodiya, Matthias J. Koepp, Cheryl Reeves, Lillian Martinian, Zuzanna Michalak, Claudia B. Catarino, Pamela J. Thompson, John S. Duncan and Yunfeng Zhao. Their work appears in journals such as Brain Pathology, Brain, Acta Neuropathologica Communications, Epilepsy Research and Epilepsia.

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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