Chen Jiang
Impact in
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- Reproductive System and Pregnancy
- Immune Cell Function and Interaction
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
Papers in
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- Reproductive System and Pregnancy 2
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- Single-cell and spatial transcriptomics 6
- Plant Gene Expression Analysis 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Kun Qu (10 shared papers)Tianpa You (8 shared papers)Jun Lin (6 shared papers)Zibin Tian (1 shared paper)Yanan Yu (1 shared paper)Xueli Ding (1 shared paper)Pengfei Cai (5 shared papers)Na Jiang (1 shared paper)
- Journals
- Cell Discovery (2 papers)Plant Science (1 paper)Journal of Investigative Dermatology Symposium Proceedings (1 paper)Journal of Molecular Modeling (1 paper)Genome biology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chen Jiang
35 papers receiving 866 citations
Peers
Comparison fields: 5 of 100
- Immunology 217
- Obstetrics and Gynecology 60
- Infectious Diseases 144
- Neurology 71
- Oncology 123
Countries citing papers authored by Chen Jiang
This map shows the geographic impact of Chen 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 Chen Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Jiang more than expected).
Fields of papers citing papers by Chen Jiang
This network shows the impact of papers produced by Chen 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 Chen Jiang. The network helps show where Chen Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 166 | |
| 2 | 2020 | 157 | |
| 3 | 2021 | 152 | |
| 4 | 2012 | 47 | |
| 5 | 2021 | 39 | |
| 6 | 2024 | 34 | |
| 7 | 2021 | 25 | |
| 8 | Correlation of serum liver fibrosis markers with severity of liver dysfunction in liver cirrhosis: a retrospective cross-sectional study. | 2015 | 25 |
| 9 | 2021 | 22 | |
| 10 | 2023 | 19 | |
| 11 | 2006 | 19 | |
| 12 | 2009 | 18 | |
| 13 | 2003 | 18 | |
| 14 | 2023 | 17 | |
| 15 | 2023 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2009 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2005 | 9 |
About Chen Jiang
Chen Jiang is a scholar working on Immunology, Molecular Biology, Organic Chemistry, Toxicology and Obstetrics and Gynecology, having authored 36 papers that have together received 875 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Plant Molecular Biology Research (3 papers), Computational Drug Discovery Methods (3 papers), Asymmetric Synthesis and Catalysis (3 papers), COVID-19 Clinical Research Studies (2 papers), Plant Gene Expression Analysis (2 papers), Genomics and Chromatin Dynamics (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Immunology (217 citations), Obstetrics and Gynecology (60 citations), Infectious Diseases (144 citations), Neurology (71 citations) and Oncology (123 citations). Chen Jiang has collaborated with scholars based in China and United States. Frequent co-authors include Kun Qu, Tianpa You, Jun Lin, Zibin Tian, Yanan Yu, Xueli Ding, Pengfei Cai, Na Jiang, Bingzi Dong and Lin Yang. Their work appears in journals such as Cell Discovery, Plant Science, Journal of Investigative Dermatology Symposium Proceedings, Journal of Molecular Modeling and Genome biology.
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.