Xiaoming Wen
- Cancer Research top 5%
- NF-κB Signaling Pathways 3
- Immunology top 5%
- Immune Response and Inflammation 4
- Physiology top 5%
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 4
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- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 3
- RNA regulation and disease 2
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- Parkinson's Disease Mechanisms and Treatments 3
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- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Co-authors
- Gary D. WuMitchell A. LazarWen G. JiangSue A. KeilbaughSreekant MurthyChinyu SuAnne FlaniganShannon T. Bailey
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Xiaoming Wen
26 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 385
- Endocrine and Autonomic Systems 165
- Immunology 451
- Physiology 494
- Oncology 455
Countries citing papers authored by Xiaoming Wen
This map shows the geographic impact of Xiaoming Wen'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 Xiaoming Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Wen more than expected).
Fields of papers citing papers by Xiaoming Wen
This network shows the impact of papers produced by Xiaoming Wen. 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 Xiaoming Wen. The network helps show where Xiaoming Wen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoming Wen, 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 | [Altered dopamine metabolism and its role in pathogenesis of Parkinson's disease]. | 2021 | 2 |
| 2 | 2021 | 9 | |
| 3 | 2020 | 126 | |
| 4 | 2019 | 24 | |
| 5 | 2019 | 76 | |
| 6 | 2018 | 3 | |
| 7 | 2017 | 16 | |
| 8 | 2017 | 6 | |
| 9 | 2015 | 1 | |
| 10 | 2015 | 1 | |
| 11 | 2013 | 42 | |
| 12 | 2010 | 62 | |
| 13 | Abstract #2848: Small molecule inhibitors of JAK1/2 improve physiological and functional measures of cancer-associated cachexia | 2009 | 1 |
| 14 | 2007 | 42 | |
| 15 | 2002 | 69 | |
| 16 | 2001 | 254 | |
| 17 | 2001 | 21 | |
| 18 | A novel therapy for colitis utilizing PPAR-γ ligands to inhibit the epithelial inflammatory responsebreakdown → | 1999 | 665 |
| 19 | 1999 | 33 | |
| 20 | 1998 | 95 |
About Xiaoming Wen
Xiaoming Wen is a scholar working on Genetics, Oncology and Cancer Research, having authored 26 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immune Response and Inflammation (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Epigenetics and DNA Methylation (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Ubiquitin and proteasome pathways (3 papers), NF-κB Signaling Pathways (3 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Cancer Research (385 citations), Endocrine and Autonomic Systems (165 citations) and Immunology (451 citations). Xiaoming Wen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Gary D. Wu, Mitchell A. Lazar, Wen G. Jiang, Sue A. Keilbaugh, Sreekant Murthy, Chinyu Su, Anne Flanigan, Shannon T. Bailey, Shamina M. Rangwala and Ning Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.