Xiaoming Wen
- Molecular Biology top 10%
- Epidemiology top 5%
- Physiology top 5%
- Oncology top 10%
- Immunology top 5%
- Co-authors
- Gary D. WuMitchell A. LazarWen G. JiangSue A. KeilbaughSreekant MurthyChinyu SuAnne FlaniganShannon T. Bailey
- Topics
- Immune Response and Inflammation (4 papers)Cytokine Signaling Pathways and Interactions (4 papers)Epigenetics and DNA Methylation (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesChinaJapan
In The Last Decade
Xiaoming Wen
26 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.1k
- Epidemiology 571
- Physiology 494
- Oncology 455
- Immunology 451
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 of co-authors of Xiaoming Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Wen. A scholar is included among the top collaborators of Xiaoming Wen 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 Xiaoming Wen. Xiaoming Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Altered dopamine metabolism and its role in pathogenesis of Parkinson's disease]. | 2 |
| 2 | 9 | |
| 3 | 126 | |
| 4 | 24 | |
| 5 | 76 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 42 | |
| 12 | 62 | |
| 13 | Abstract #2848: Small molecule inhibitors of JAK1/2 improve physiological and functional measures of cancer-associated cachexia | 1 |
| 14 | 42 | |
| 15 | 69 | |
| 16 | 254 | |
| 17 | 21 | |
| 18 | A novel therapy for colitis utilizing PPAR-γ ligands to inhibit the epithelial inflammatory responsebreakdown → | 665 |
| 19 | 33 | |
| 20 | 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) and Epigenetics and DNA Methylation (3 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.