Xu Jiang
Impact in
- Biotechnology top 10%
- Enzyme Production and Characterization
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
-
- Myasthenia Gravis and Thymoma 5
- Co-authors
- Yasushi Morikawa (3 shared papers)Masahiro Nogawa (3 shared papers)Hirofumi Okada (3 shared papers)Naoya Takakuwa (1 shared paper)Zhuyi Li (5 shared papers)Hong Lin (3 shared papers)Yuanjie Sun (1 shared paper)Haiteng Deng (3 shared papers)
- Journals
- Applied Microbiology and Biotechnology (3 papers)Journal of Autoimmunity (2 papers)Protein Expression and Purification (2 papers)Peptides (1 paper)Immunological Investigations (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xu Jiang
23 papers receiving 537 citations
Peers
Comparison fields: 5 of 69
- Biotechnology 90
- Immunology 88
- Molecular Biology 293
- Neurology 57
- Biomedical Engineering 145
Countries citing papers authored by Xu Jiang
This map shows the geographic impact of Xu Jiang'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 Xu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xu Jiang more than expected).
Fields of papers citing papers by Xu Jiang
This network shows the impact of papers produced by Xu Jiang. 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 Xu Jiang. The network helps show where Xu Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xu Jiang, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 104 | |
| 2 | 1998 | 70 | |
| 3 | 2014 | 54 | |
| 4 | 2020 | 54 | |
| 5 | 2000 | 49 | |
| 6 | 2006 | 38 | |
| 7 | 2020 | 37 | |
| 8 | 2024 | 23 | |
| 9 | 2009 | 21 | |
| 10 | 2023 | 15 | |
| 11 | 2016 | 14 | |
| 12 | 2011 | 12 | |
| 13 | 2016 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2015 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2013 | 3 | |
| 20 | 2010 | 2 |
About Xu Jiang
Xu Jiang is a scholar working on Immunology, Neurology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biotechnology, having authored 25 papers that have together received 544 indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Biofuel production and bioconversion (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Enzyme Production and Characterization (2 papers), Fungal and yeast genetics research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Biotechnology (90 citations), Immunology (88 citations), Molecular Biology (293 citations), Neurology (57 citations) and Biomedical Engineering (145 citations). Xu Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yasushi Morikawa, Masahiro Nogawa, Hirofumi Okada, Naoya Takakuwa, Zhuyi Li, Hong Lin, Yuanjie Sun, Haiteng Deng, Ting Chang and Chunmei Zhang. Their work appears in journals such as Applied Microbiology and Biotechnology, Journal of Autoimmunity, Protein Expression and Purification, Peptides and Immunological Investigations.
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.