Qianghua Xia
- Cancer Research top 5%
- NF-κB Signaling Pathways 4
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research 3
- Immunology top 10%
- Molecular Biology top 10%
- RNA modifications and cancer 6
- Genomics and Chromatin Dynamics 3
- Genetics top 10%
- Genetic Associations and Epidemiology 7
- Genetics and Neurodevelopmental Disorders 5
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- Autoimmune and Inflammatory Disorders Research 5
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- Autism Spectrum Disorder Research 3
- Co-authors
- Paul J. ChiaoStruan F.A. GrantJason B. FlemingDavide MelisiZhe ChangJames L. AbbruzzeseBailu PengSatoshi Ishiyama
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Journal of Biological Chemistry (2 papers)JNCI Journal of the National Cancer Institute (1 paper)Cancer Cell (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Qianghua Xia
38 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 105
- Cancer Research 337
- Oncology 581
- Immunology 288
- Molecular Biology 921
- Genetics 210
Countries citing papers authored by Qianghua Xia
This map shows the geographic impact of Qianghua Xia'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 Qianghua Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qianghua Xia more than expected).
Fields of papers citing papers by Qianghua Xia
This network shows the impact of papers produced by Qianghua Xia. 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 Qianghua Xia. The network helps show where Qianghua Xia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qianghua Xia, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 45 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2017 | 11 | |
| 14 | 2014 | 18 | |
| 15 | 2012 | 58 | |
| 16 | 2009 | 45 | |
| 17 | 2008 | 262 | |
| 18 | 2007 | 37 | |
| 19 | 2007 | 83 | |
| 20 | 2006 | 84 |
About Qianghua Xia
Qianghua Xia is a scholar working on Hematology, Developmental Biology and Cancer Research, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), RNA modifications and cancer (6 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Genetics and Neurodevelopmental Disorders (5 papers), NF-κB Signaling Pathways (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Autism Spectrum Disorder Research (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cancer Research (337 citations), Oncology (581 citations) and Immunology (288 citations). Qianghua Xia has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Paul J. Chiao, Struan F.A. Grant, Jason B. Fleming, Davide Melisi, Zhe Chang, James L. Abbruzzese, Bailu Peng, Satoshi Ishiyama, Jianhua Ling and Guido M. Sclabas. Their work appears in journals such as Journal of Biological Chemistry, JNCI Journal of the National Cancer Institute and Cancer Cell.
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.