Weihua Xiao
- Immunology top 1%
- Immune Cell Function and Interaction 31
- T-cell and B-cell Immunology 16
- interferon and immune responses 15
- Immunotherapy and Immune Responses 11
- Oncology top 1%
- Cytokine Signaling Pathways and Interactions 17
- CAR-T cell therapy research 9
- Cancer Research top 5%
- NF-κB Signaling Pathways 8
- Molecular Biology top 10%
- RNA modifications and cancer 7
- Hematology top 5%
- Co-authors
- Zhigang TianRui SunDhananjaya V. KalvakolanuCheng SunHaoyu SunYongyan ChenMin ChengFang Fang
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Journal of Biological Chemistry (7 papers)Cellular and Molecular Immunology (4 papers)Journal of Interferon & Cytokine Research (4 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Weihua Xiao
82 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 2.4k
- Oncology 1.7k
- Cancer Research 489
- Molecular Biology 1.3k
- Hematology 160
Countries citing papers authored by Weihua Xiao
This map shows the geographic impact of Weihua Xiao'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 Weihua Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weihua Xiao more than expected).
Fields of papers citing papers by Weihua Xiao
This network shows the impact of papers produced by Weihua Xiao. 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 Weihua Xiao. The network helps show where Weihua Xiao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weihua Xiao, 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 | 2021 | 25 | |
| 2 | 2021 | 37 | |
| 3 | 2020 | 14 | |
| 4 | 2019 | 72 | |
| 5 | 2019 | 113 | |
| 6 | 2019 | 18 | |
| 7 | 2018 | 42 | |
| 8 | 2017 | 13 | |
| 9 | 2017 | 240 | |
| 10 | 2016 | 8 | |
| 11 | 2016 | 3 | |
| 12 | 2016 | 14 | |
| 13 | 2014 | 49 | |
| 14 | 2014 | 10 | |
| 15 | 2013 | 6 | |
| 16 | 2013 | 52 | |
| 17 | 2010 | 16 | |
| 18 | 2010 | 37 | |
| 19 | 2010 | 17 | |
| 20 | 1996 | 98 |
About Weihua Xiao
Weihua Xiao is a scholar working on Immunology, Oncology, Cancer Research, Reproductive Medicine and Molecular Biology, having authored 82 papers that have together received 3.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (31 papers), Cytokine Signaling Pathways and Interactions (17 papers), T-cell and B-cell Immunology (16 papers), interferon and immune responses (15 papers), Immunotherapy and Immune Responses (11 papers), CAR-T cell therapy research (9 papers), NF-κB Signaling Pathways (8 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Immunology (2.4k citations), Oncology (1.7k citations), Cancer Research (489 citations), Molecular Biology (1.3k citations) and Hematology (160 citations). Weihua Xiao has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhigang Tian, Rui Sun, Dhananjaya V. Kalvakolanu, Cheng Sun, Haoyu Sun, Yongyan Chen, Min Cheng, Fang Fang, Haiming Wei and Venkatadri Kolla. Their work appears in journals such as Journal of Biological Chemistry, Cellular and Molecular Immunology, Journal of Interferon & Cytokine Research, Microbial Cell Factories and Cytokine.
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.