Lih-Fen Lue

3.0k citations
16 papers · 2.4k indexed · 1 hit paper · h-index 15

Lih-Fen Lue

16 papers receiving 2.4k citations

Hit Papers

Soluble Amyloid β Peptide Concentration as a Predictor of...1.3k19992026200820174008001.2k

Peers

Lih-Fen Lue
Comparison fields: 5 of 103
  • Neurology 669
  • Biological Psychiatry 183
  • Physiology 1.8k
  • Cellular and Molecular Neuroscience 525
  • Pharmacology 432
Replace Jacob M. Basak with:
Jacob M. Basak United States
Wendy Sigurdson United States
Mitsuru Shinohara Japan
Karen H. Gylys United States
Weihui Zhou China
Wesley Farris United States
Caroline E. Hope United States
Anete Rozkalne United States
Mireia Coma Spain
Lih-Fen Lue relative to Jacob M. Basak United States Jacob M. Basak's profile →
Citations per field
00.5×1.5×
Jacob M. Basak · 1×
Citations per year

Countries citing papers authored by Lih-Fen Lue

Since Specialization
Citations

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

Fields of papers citing papers by Lih-Fen Lue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lih-Fen Lue. 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 Lih-Fen Lue. The network helps show where Lih-Fen Lue may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20203
2 201920
3 201930
4 201917
5 201728
6 201628
7 201624
8 2011152
9 201038
10 2010143
11 201071
12 200558
13 2001147
14
Soluble Amyloid β Peptide Concentration as a Predictor of Synaptic Change in Alzheimer's Diseasebreakdown →
19991281
15 1996352
16 199335

About Lih-Fen Lue

Lih-Fen Lue is a scholar working on Neurology, Physiology and Psychiatry and Mental health, having authored 16 papers that have together received 2.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Dementia and Cognitive Impairment Research (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological disorders and treatments (2 papers), Cholesterol and Lipid Metabolism (1 paper), MRI in cancer diagnosis (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Neurology (669 citations), Biological Psychiatry (183 citations) and Physiology (1.8k citations). Lih-Fen Lue has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Yu‐Min Kuo, Thomas G. Beach, Libuse Brachova, Alex E. Roher, Joseph Rogers, Yong Shen, Lucia I. Sue, Janice Kurth, Douglas G. Walker and Scott D. Webster. Their work appears in journals such as Journal of Neuroscience, NeuroImage and Annals of Neurology.

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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