Lieng Taing

1.4k total citations · 1 hit paper
8 papers, 581 citations indexed

About

Lieng Taing is a scholar working on Molecular Biology, Dermatology and Cell Biology. According to data from OpenAlex, Lieng Taing has authored 8 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Dermatology and 3 papers in Cell Biology. Recurrent topics in Lieng Taing's work include Acne and Rosacea Treatments and Effects (3 papers), Skin Protection and Aging (3 papers) and melanin and skin pigmentation (2 papers). Lieng Taing is often cited by papers focused on Acne and Rosacea Treatments and Effects (3 papers), Skin Protection and Aging (3 papers) and melanin and skin pigmentation (2 papers). Lieng Taing collaborates with scholars based in France, Austria and United States. Lieng Taing's co-authors include Isabelle Rivals, L. Personnaz, Marie‐Claude Potier, Sigrid Le Clerc, Cédric Coulonges, Serge Herçberg, Denis Malvy, Julie Latreille, Erwin Tschachler and Frédérique Morizot and has published in prestigious journals such as Bioinformatics, PLoS ONE and Biological Psychiatry.

In The Last Decade

Lieng Taing

8 papers receiving 576 citations

Hit Papers

Enrichment or depletion of a GO category within a class o... 2006 2026 2012 2019 2006 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lieng Taing France 6 360 99 49 48 44 8 581
David M. Lehmann United States 19 464 1.3× 306 3.1× 65 1.3× 67 1.4× 154 3.5× 44 1.3k
Shruti Rastogi India 11 464 1.3× 151 1.5× 28 0.6× 233 4.9× 14 0.3× 33 796
Xiaojing Yang China 15 441 1.2× 81 0.8× 57 1.2× 150 3.1× 17 0.4× 46 660
Kriston L. McGary United States 14 641 1.8× 179 1.8× 120 2.4× 240 5.0× 12 0.3× 18 960
Ronald W. Raab United States 16 605 1.7× 146 1.5× 236 4.8× 28 0.6× 11 0.3× 28 1.1k
Jim Lund United States 9 1.0k 2.8× 221 2.2× 35 0.7× 129 2.7× 11 0.3× 13 1.5k
David L. Aylor United States 17 334 0.9× 383 3.9× 70 1.4× 158 3.3× 11 0.3× 28 912
F. Lestienne France 10 208 0.6× 28 0.3× 14 0.3× 46 1.0× 29 0.7× 24 376
Xiangdong Liu China 16 431 1.2× 89 0.9× 36 0.7× 63 1.3× 7 0.2× 38 996
Denis S. Kudryavtsev Russia 16 501 1.4× 124 1.3× 20 0.4× 13 0.3× 6 0.1× 49 675

Countries citing papers authored by Lieng Taing

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lieng Taing

This figure shows the co-authorship network connecting the top 25 collaborators of Lieng Taing. A scholar is included among the top collaborators of Lieng Taing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lieng Taing. Lieng Taing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Montalban, Enrica, Albert Giralt, Lieng Taing, et al.. (2023). Operant Training for Highly Palatable Food Alters Translating Messenger RNA in Nucleus Accumbens D2 Neurons and Reveals a Modulatory Role of Ncdn. Biological Psychiatry. 95(10). 926–937. 2 indexed citations
2.
Marion‐Poll, Lucile, Jean-Pierre Roussarie, Lieng Taing, et al.. (2022). DNA methylation and hydroxymethylation characterize the identity of D1 and D2 striatal projection neurons. Communications Biology. 5(1). 1321–1321. 4 indexed citations
3.
Laville, Vincent, Sigrid Le Clerc, Khaled Ezzedine, et al.. (2018). A genome wide association study identifies new genes potentially associated with eyelid sagging. Experimental Dermatology. 28(8). 892–898. 8 indexed citations
4.
Laville, Vincent, Sigrid Le Clerc, Khaled Ezzedine, et al.. (2016). A genome‐wide association study in Caucasian women suggests the involvement of HLA genes in the severity of facial solar lentigines. Pigment Cell & Melanoma Research. 29(5). 550–558. 16 indexed citations
5.
Spadoni, Jean‐Louis, Sigrid Le Clerc, Daniëlle van Manen, et al.. (2015). Identification of Genes Whose Expression Profile Is Associated with Non-Progression towards AIDS Using eQTLs. PLoS ONE. 10(9). e0136989–e0136989. 6 indexed citations
6.
Clerc, Sigrid Le, Lieng Taing, Guillaume Fond, et al.. (2015). A double amino-acid change in the HLA-A peptide-binding groove is associated with response to psychotropic treatment in patients with schizophrenia. Translational Psychiatry. 5(7). e608–e608. 20 indexed citations
7.
Clerc, Sigrid Le, Lieng Taing, Khaled Ezzedine, et al.. (2012). A Genome-Wide Association Study in Caucasian Women Points Out a Putative Role of the STXBP5L Gene in Facial Photoaging. Journal of Investigative Dermatology. 133(4). 929–935. 29 indexed citations
8.
Rivals, Isabelle, L. Personnaz, Lieng Taing, & Marie‐Claude Potier. (2006). Enrichment or depletion of a GO category within a class of genes: which test?. Bioinformatics. 23(4). 401–407. 496 indexed citations breakdown →

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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