Lieng Taing
Impact in
- Dermatology top 10%
- Skin Protection and Aging
-
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Biomedical Text Mining and Ontologies
- Genomics and Phylogenetic Studies
Papers in
-
- Acne and Rosacea Treatments and Effects 3
- Skin Protection and Aging 3
-
- melanin and skin pigmentation 2
- Zebrafish Biomedical Research Applications 1
- Co-authors
- L. Personnaz (1 shared paper)Marie‐Claude Potier (1 shared paper)Isabelle Rivals (1 shared paper)Sigrid Le Clerc (5 shared papers)Cédric Coulonges (4 shared papers)Julie Latreille (3 shared papers)Denis Malvy (3 shared papers)Frédérique Morizot (3 shared papers)
- Journals
- Experimental Dermatology (1 paper)PLoS ONE (1 paper)Biological Psychiatry (1 paper)Translational Psychiatry (1 paper)Pigment Cell & Melanoma Research (1 paper)
- Partner nations
- FranceAustriaSwitzerland
In The Last Decade
Lieng Taing
8 papers receiving 587 citations
Lieng Taing's Hit Papers
Peers
Comparison fields: 5 of 109
- Dermatology 40
- Molecular Biology 316
- Biological Psychiatry 8
- Genetics 80
- Aging 5
Countries citing papers authored by Lieng Taing
This map shows the geographic impact of Lieng Taing'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 Lieng Taing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lieng Taing more than expected).
Fields of papers citing papers by Lieng Taing
This network shows the impact of papers produced by Lieng Taing. 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 Lieng Taing. The network helps show where Lieng Taing may publish in the future.
Co-authors
The 25 scholars most cited alongside Lieng Taing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Enrichment or depletion of a GO category within a class of genes: which test? Hit paper breakdown → | 2006 | 504 |
| 2 | 2012 | 31 | |
| 3 | 2015 | 21 | |
| 4 | 2016 | 16 | |
| 5 | 2018 | 8 | |
| 6 | 2015 | 6 | |
| 7 | 2022 | 4 | |
| 8 | 2023 | 2 |
About Lieng Taing
Lieng Taing is a scholar working on Dermatology, Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience and Urology, having authored 8 papers that have together received 592 indexed citations. Recurring topics across this work include Acne and Rosacea Treatments and Effects (3 papers), Skin Protection and Aging (3 papers), melanin and skin pigmentation (2 papers), Zebrafish Biomedical Research Applications (1 paper), Epigenetics and DNA Methylation (1 paper), Tryptophan and brain disorders (1 paper), Hair Growth and Disorders (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Dermatology (40 citations), Molecular Biology (316 citations), Biological Psychiatry (8 citations), Genetics (80 citations) and Aging (5 citations). Lieng Taing has collaborated with scholars based in France, Austria and Switzerland. Frequent co-authors include L. Personnaz, Marie‐Claude Potier, Isabelle Rivals, Sigrid Le Clerc, Cédric Coulonges, Julie Latreille, Denis Malvy, Frédérique Morizot, Wassila Carpentier and Serge Herçberg. Their work appears in journals such as Experimental Dermatology, PLoS ONE, Biological Psychiatry, Translational Psychiatry and Pigment Cell & Melanoma Research.
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.