Pengxiang Huang
- Aging top 5%
- Immunology top 5%
- IL-33, ST2, and ILC Pathways 2
- Genetics top 2%
- Estrogen and related hormone effects 3
- Molecular Biology top 5%
- Retinoids in leukemia and cellular processes 5
- Hedgehog Signaling Pathway Studies 3
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 3
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- Liver Disease Diagnosis and Treatment 3
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- Nuclear Receptors and Signaling 3
- Co-authors
- Fraydoon RastinejadVikas ChandraSrilatha RaghuramThomas P. BurrisSepideh KhorasanizadehYongjun WangLora HamuroYoungchang Kim
- Partner nations
- United StatesChinaFrance
In The Last Decade
Pengxiang Huang
19 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Endocrine and Autonomic Systems 262
- Aging 53
- Immunology 594
- Genetics 773
- Molecular Biology 1.8k
Countries citing papers authored by Pengxiang Huang
This map shows the geographic impact of Pengxiang 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 Pengxiang Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengxiang Huang more than expected).
Fields of papers citing papers by Pengxiang Huang
This network shows the impact of papers produced by Pengxiang 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 Pengxiang Huang. The network helps show where Pengxiang Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pengxiang Huang, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 6 | |
| 10 | 2018 | 137 | |
| 11 | 2016 | 278 | |
| 12 | 2015 | 173 | |
| 13 | 2013 | 154 | |
| 14 | 2013 | 153 | |
| 15 | 2013 | 112 | |
| 16 | 2012 | 55 | |
| 17 | 2011 | 425 | |
| 18 | 2010 | 76 | |
| 19 | Structure of the intact PPAR-γ–RXR-α nuclear receptor complex on DNAbreakdown → | 2008 | 626 |
| 20 | 2007 | 463 |
About Pengxiang Huang
Pengxiang Huang is a scholar working on Behavioral Neuroscience, Physiology, Applied Psychology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 3.1k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (5 papers), Hedgehog Signaling Pathway Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Epigenetics and DNA Methylation (3 papers), Estrogen and related hormone effects (3 papers), Nuclear Receptors and Signaling (3 papers), Genomics and Chromatin Dynamics (3 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (262 citations), Aging (53 citations), Immunology (594 citations), Genetics (773 citations) and Molecular Biology (1.8k citations). Pengxiang Huang has collaborated with scholars based in United States, China and France. Frequent co-authors include Fraydoon Rastinejad, Vikas Chandra, Srilatha Raghuram, Thomas P. Burris, Sepideh Khorasanizadeh, Yongjun Wang, Lora Hamuro, Youngchang Kim, Adrian Salic and Daniel Nedelcu. Their work appears in journals such as Nature, Cell, Nature Structural & Molecular Biology, Developmental Cell and Cell Metabolism.
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.