Junxia Wang
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
Papers in ⓘ
- Aging 2
- Immunology 20
- Immunotherapy and Immune Responses 5
- Co-authors
- Peter A. Nigrović (4 shared papers)Chaoyong Yang (4 shared papers)Emilio Parisini (1 shared paper)Christopher C. Dascher (1 shared paper)Pui Y. Lee (1 shared paper)Zhi Zhu (3 shared papers)Zuben E. Sauna (1 shared paper)Shane McMahon (1 shared paper)
- Journals
- Analytical and Bioanalytical Chemistry (4 papers)Biotechnology Letters (4 papers)Blood (3 papers)Journal of drug targeting (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Junxia Wang
108 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 142
- Immunology 520
- Molecular Biology 1.4k
- Cancer Research 208
- Cell Biology 223
- Plant Science 429
Countries citing papers authored by Junxia Wang
This map shows the geographic impact of Junxia Wang'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 Junxia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxia Wang more than expected).
Fields of papers citing papers by Junxia Wang
This network shows the impact of papers produced by Junxia Wang. 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 Junxia Wang. The network helps show where Junxia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junxia Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 230 | |
| 2 | 2014 | 201 | |
| 3 | 2018 | 183 | |
| 4 | 2019 | 180 | |
| 5 | 2021 | 137 | |
| 6 | 2017 | 128 | |
| 7 | 2019 | 105 | |
| 8 | 2017 | 85 | |
| 9 | 2014 | 69 | |
| 10 | 2020 | 56 | |
| 11 | 2005 | 54 | |
| 12 | 2014 | 51 | |
| 13 | 2023 | 47 | |
| 14 | 2012 | 45 | |
| 15 | 2009 | 44 | |
| 16 | 2012 | 43 | |
| 17 | 2012 | 39 | |
| 18 | 2019 | 39 | |
| 19 | 2005 | 38 | |
| 20 | 2017 | 37 |
About Junxia Wang
Junxia Wang is a scholar working on Aging, Immunology, Molecular Biology, Cell Biology and Cancer Research, having authored 112 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), Reproductive Biology and Fertility (8 papers), Pluripotent Stem Cells Research (8 papers), Epigenetics and DNA Methylation (7 papers), Adipose Tissue and Metabolism (6 papers), CRISPR and Genetic Engineering (5 papers), Immunotherapy and Immune Responses (5 papers) and Muscle Physiology and Disorders (5 papers). The work is most often cited by research in Immunology (520 citations), Molecular Biology (1.4k citations), Cancer Research (208 citations), Cell Biology (223 citations) and Plant Science (429 citations). Junxia Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Peter A. Nigrović, Chaoyong Yang, Emilio Parisini, Christopher C. Dascher, Pui Y. Lee, Zhi Zhu, Zuben E. Sauna, Shane McMahon, Joseph R. McGill and Haiyan Jiang. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Biotechnology Letters, Blood, Journal of drug targeting and The Journal of Immunology.
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.