Lieng Taing
Impact in
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Gene Regulatory Network Analysis
- Biomedical Text Mining and Ontologies
- Dermatology top 10%
- Skin Protection and Aging
Papers in
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- Acne and Rosacea Treatments and Effects 3
- Skin Protection and Aging 3
- Co-authors
- L. Personnaz (1 shared paper)Isabelle Rivals (1 shared paper)Marie‐Claude Potier (1 shared paper)Sigrid Le Clerc (5 shared papers)Cédric Coulonges (4 shared papers)Julie Latreille (3 shared papers)Serge Herçberg (2 shared papers)Erwin Tschachler (3 shared papers)
- Journals
- Biological Psychiatry (1 paper)Pigment Cell & Melanoma Research (1 paper)Bioinformatics (1 paper)Communications Biology (1 paper)Translational Psychiatry (1 paper)
- Partner nations
- FranceAustriaUnited States
In The Last Decade
Lieng Taing
8 papers receiving 576 citations
Lieng Taing's Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 360
- Dermatology 44
- Genetics 99
- Aging 6
- Cell Biology 49
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 | 496 |
| 2 | 2012 | 29 | |
| 3 | 2015 | 20 | |
| 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 Molecular Biology, Dermatology, Cell Biology, Immunology and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 581 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), Immune Cell Function and Interaction (2 papers), HIV Research and Treatment (1 paper), Bayesian Modeling and Causal Inference (1 paper), HIV-related health complications and treatments (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Molecular Biology (360 citations), Dermatology (44 citations), Genetics (99 citations), Aging (6 citations) and Cell Biology (49 citations). Lieng Taing has collaborated with scholars based in France, Austria and United States. Frequent co-authors include L. Personnaz, Isabelle Rivals, Marie‐Claude Potier, Sigrid Le Clerc, Cédric Coulonges, Julie Latreille, Serge Herçberg, Erwin Tschachler, Denis Malvy and Khaled Ezzedine. Their work appears in journals such as Biological Psychiatry, Pigment Cell & Melanoma Research, Bioinformatics, Communications Biology and Translational Psychiatry.
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.