Junxia Wang
Impact in
- Immunology top 5%
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Extracellular vesicles in disease
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 4
- Muscle Physiology and Disorders 4
- Cell Biology 10
- Cellular transport and secretion 3
- Co-authors
- Peter Andrija Nigrovic (3 shared papers)Chaoyong James Yang (4 shared papers)Christopher C. Dascher (1 shared paper)Pui Y. Lee (1 shared paper)Emilio Parisini (1 shared paper)Zhi Zhu (3 shared papers)Shane M. McMahon (1 shared paper)Zuben E. Sauna (1 shared paper)
- Journals
- Biotechnology Letters (4 papers)Analytical and Bioanalytical Chemistry (4 papers)Blood (3 papers)Acta Pharmacologica Sinica (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Junxia Wang
112 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 118
- Immunology 347
- Molecular Biology 976
- Cell Biology 176
- Cancer Research 146
- Plant Science 372
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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 250 | |
| 2 | 2014 | 218 | |
| 3 | 2019 | 217 | |
| 4 | 2018 | 209 | |
| 5 | 2021 | 158 | |
| 6 | 2017 | 150 | |
| 7 | 2019 | 107 | |
| 8 | 2017 | 99 | |
| 9 | 2014 | 76 | |
| 10 | 2023 | 68 | |
| 11 | 2020 | 63 | |
| 12 | 2014 | 56 | |
| 13 | 2005 | 54 | |
| 14 | 2012 | 49 | |
| 15 | 2012 | 47 | |
| 16 | 2009 | 44 | |
| 17 | 2020 | 44 | |
| 18 | 2012 | 43 | |
| 19 | 2019 | 43 | |
| 20 | 2009 | 42 |
About Junxia Wang
Junxia Wang is a scholar working on Molecular Biology, Cell Biology, Immunology, Cancer Research and Physiology, having authored 119 papers that have together received 3.2k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (7 papers), Reproductive Biology and Fertility (4 papers), Immunotherapy and Immune Responses (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Plant Pathogenic Bacteria Studies (4 papers), Muscle Physiology and Disorders (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Immunology (347 citations), Molecular Biology (976 citations), Cell Biology (176 citations), Cancer Research (146 citations) and Plant Science (372 citations). Junxia Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Peter Andrija Nigrovic, Chaoyong James Yang, Christopher C. Dascher, Pui Y. Lee, Emilio Parisini, Zhi Zhu, Shane M. McMahon, Zuben E. Sauna, Joseph R. McGill and Vijaya Lakshmi Simhadri. Their work appears in journals such as Biotechnology Letters, Analytical and Bioanalytical Chemistry, Blood, Acta Pharmacologica Sinica and Scientific Reports.
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.