Lisa Fu

20 papers receiving 615 citations

Lisa Fu's Hit Papers

Temporal evolution of cortical ensembles promoting remote memory retrieval 2019 · 351 citations
3510+2+4Years since publication100200300

Peers

Lisa Fu
Comparison fields: 5 of 101
  • Behavioral Neuroscience 40
  • Cognitive Neuroscience 211
  • Cellular and Molecular Neuroscience 193
  • Chemical Health and Safety 5
  • Dermatology 53
Replace Thomas Sontag with:
Thomas Sontag Germany
Nelson B. Freimer United States
R. Doyle United States
Se Young Kim South Korea
Martin Kärner Italy
Tomoyasu Wakuda Japan
Russell L. Johnson United States
Gail Lewandowski United States
Nobuhiro Sugiyama Japan
Lauren C. Milner United States
Lisa Fu relative to Thomas Sontag Germany Thomas Sontag's profile →
Citations per field
00.5×10.6×
Thomas Sontag · 1×
Citations per year

Countries citing papers authored by Lisa Fu

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Temporal evolution of cortical ensembles promoting remote memory retrieval
Hit paper breakdown →
2019351
2 202139
3 201139
4 202236
5 201129
6 201828
7 201221
8 201813
9 201512
10
Newer approaches in topical combination therapy for acne.
201112
11 20039
12 20188
13 20196
14 20126
15 20154
16 20184
17 20133
18 20162
19 20172
20 20141

About Lisa Fu

Lisa Fu is a scholar working on Dermatology, Sociology and Political Science, Epidemiology, Immunology and Pharmacology, having authored 20 papers that have together received 625 indexed citations. Recurring topics across this work include Environmental Justice and Health Disparities (3 papers), Participatory Visual Research Methods (2 papers), Contact Dermatitis and Allergies (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Drug-Induced Adverse Reactions (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Behavioral Neuroscience (40 citations), Cognitive Neuroscience (211 citations), Cellular and Molecular Neuroscience (193 citations), Chemical Health and Safety (5 citations) and Dermatology (53 citations). Lisa Fu has collaborated with scholars based in Canada, United States and New Caledonia. Frequent co-authors include Marc Tessier‐Lavigne, Cindy D. Liu, Laura A. DeNardo, Eliza L. Adams, Liqun Luo, Casey J. Guenthner, Drew Friedmann, William E. Allen, Ronald Vender and Stephen Betschel. Their work appears in journals such as Progress in community health partnerships, Annals of Allergy Asthma & Immunology, Journal of Exposure Science & Environmental Epidemiology, American Journal of Industrial Medicine and Journal of Allergy and Clinical Immunology.

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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