Phillips Huang

2.2k total citations
10 papers, 220 citations indexed

About

Phillips Huang is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Phillips Huang has authored 10 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Phillips Huang's work include Cancer Cells and Metastasis (3 papers), Cancer-related molecular mechanisms research (2 papers) and Genomics and Chromatin Dynamics (2 papers). Phillips Huang is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Cancer-related molecular mechanisms research (2 papers) and Genomics and Chromatin Dynamics (2 papers). Phillips Huang collaborates with scholars based in United States, Singapore and Sweden. Phillips Huang's co-authors include Allan Balmain, Garry Morgan, Mark Winey, Karen Crasta, Uttam Surana, Christine E. Wong, David A. Quigley, Minh D. To, Kuang‐Yu Jen and Jennifer S. Yu and has published in prestigious journals such as Nature Genetics, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Phillips Huang

9 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillips Huang United States 6 150 69 66 32 28 10 220
Nadem Soufir France 7 69 0.5× 58 0.8× 77 1.2× 34 1.1× 28 1.0× 10 186
Timothy Budden Australia 8 118 0.8× 36 0.5× 72 1.1× 28 0.9× 37 1.3× 12 241
Zhanli Tang China 7 132 0.9× 53 0.8× 47 0.7× 67 2.1× 57 2.0× 10 258
Naveen Kommajosyula United States 7 261 1.7× 67 1.0× 64 1.0× 25 0.8× 18 0.6× 9 314
Dana Koludrović France 3 140 0.9× 67 1.0× 27 0.4× 19 0.6× 23 0.8× 3 177
Guillaume Davidson France 9 217 1.4× 47 0.7× 91 1.4× 65 2.0× 48 1.7× 16 297
Patrick Laurette France 5 148 1.0× 56 0.8× 26 0.4× 22 0.7× 21 0.8× 6 183
Antonella F. M. Dost United States 6 154 1.0× 39 0.6× 53 0.8× 49 1.5× 25 0.9× 9 237
X. Niu China 7 189 1.3× 31 0.4× 82 1.2× 39 1.2× 159 5.7× 10 329

Countries citing papers authored by Phillips Huang

Since Specialization
Citations

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

Fields of papers citing papers by Phillips Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillips Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Phillips Huang. A scholar is included among the top collaborators of Phillips Huang 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 Phillips Huang. Phillips Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Huang, Phillips, et al.. (2025). The Effects of Fine Particulate Matter on Pediatric Airway Inflammation and Lung Function: An Epidemiological Perspective. SHILAP Revista de lepidopterología. 9(3). 69–75.
2.
Chen, Wei‐Fan, et al.. (2017). [Application of bronchoscopy navigation in peripheral pulmonary lesions].. PubMed. 40(8). 622–625. 1 indexed citations
3.
Huang, Phillips, Eve Kandyba, Arnaud Jabouille, et al.. (2017). Lgr6 is a stem cell marker in mouse skin squamous cell carcinoma. Nature Genetics. 49(11). 1624–1632. 46 indexed citations
4.
Huang, Phillips, et al.. (2017). Effects of IL-10 on iron metabolism in LPS-induced inflammatory mice via modulating hepcidin expression.. PubMed. 21(15). 3469–3475. 12 indexed citations
5.
Quigley, David A., Eve Kandyba, Phillips Huang, et al.. (2016). Gene Expression Architecture of Mouse Dorsal and Tail Skin Reveals Functional Differences in Inflammation and Cancer. Cell Reports. 16(4). 1153–1165. 20 indexed citations
6.
Huang, Phillips & Allan Balmain. (2014). Modeling Cutaneous Squamous Carcinoma Development in the Mouse. Cold Spring Harbor Perspectives in Medicine. 4(9). a013623–a013623. 26 indexed citations
7.
Wong, Christine E., Jennifer S. Yu, David A. Quigley, et al.. (2013). Inflammation and Hras signaling control epithelial–mesenchymal transition during skin tumor progression. Genes & Development. 27(6). 670–682. 47 indexed citations
8.
Fullwood, Melissa J., Phillips Huang, Yuyuan Han, et al.. (2010). Protocol: Sonication-based Circular Chromosome Conformation Capture with next-generation sequencing analysis for the detection of chromatin interactions. Protocol Exchange. 4 indexed citations
9.
Crasta, Karen, Phillips Huang, Garry Morgan, Mark Winey, & Uttam Surana. (2006). Cdk1 regulates centrosome separation by restraining proteolysis of microtubule‐associated proteins. The EMBO Journal. 25(11). 2551–2563. 61 indexed citations
10.
Liu, Qin, Guangfa Zhu, & Phillips Huang. (1991). [Anti-inflammatory, analgesic and sedative effects of Leontice kiangnanensis P.L. Chiu].. PubMed. 16(1). 50–3, 65. 3 indexed citations

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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