Jun Yi
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
-
- Cell Adhesion Molecules Research
Papers in
-
- Plant Reproductive Biology 3
- Signaling Pathways in Disease 3
- Photosynthetic Processes and Mechanisms 2
- RNA and protein synthesis mechanisms 2
-
- Chromosomal and Genetic Variations 3
- Plant Molecular Biology Research 2
- Co-authors
- Duanqing Pei (4 shared papers)Tiebang Kang (2 shared papers)Claudia Köhler (5 shared papers)Xing Wang (1 shared paper)Jianxun Lei (1 shared paper)Christopher M. Overall (1 shared paper)Weiping Jiang (1 shared paper)Niels Borregaard (1 shared paper)
- Journals
- Journal of Experimental Botany (1 paper)The Plant Cell (1 paper)The FASEB Journal (1 paper)Journal of Biological Chemistry (1 paper)FEBS Letters (1 paper)
- Partner nations
- United StatesSwedenChina
In The Last Decade
Jun Yi
14 papers receiving 374 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 148
- Immunology and Allergy 31
- Hematology 53
- Oncology 111
- Molecular Biology 169
Countries citing papers authored by Jun Yi
This map shows the geographic impact of Jun Yi'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 Jun Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yi more than expected).
Fields of papers citing papers by Jun Yi
This network shows the impact of papers produced by Jun Yi. 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 Jun Yi. The network helps show where Jun Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yi, 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 | 2001 | 104 | |
| 2 | 1999 | 48 | |
| 3 | 2020 | 46 | |
| 4 | 2000 | 43 | |
| 5 | 2015 | 32 | |
| 6 | 2017 | 25 | |
| 7 | 2015 | 19 | |
| 8 | The overexpression membrane type 1 matrix metalloproteinase is associated with the progression and prognosis in breast cancer. | 2015 | 16 |
| 9 | 2023 | 15 | |
| 10 | 1998 | 15 | |
| 11 | 2011 | 12 | |
| 12 | 2017 | 7 | |
| 13 | 2022 | 3 | |
| 14 | Preparation and Characterization of Dexamethasone Acetate-loaded Solid Lipid Nanoparticles | 2008 | 1 |
| 15 | Expression and Identification of LfcinB Gene in Pichia pastoris | 2007 | 1 |
About Jun Yi
Jun Yi is a scholar working on Molecular Biology, Plant Science, Cancer Research, Oncology and Pharmaceutical Science, having authored 15 papers that have together received 387 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (4 papers), Plant Reproductive Biology (3 papers), Chromosomal and Genetic Variations (3 papers), Peptidase Inhibition and Analysis (3 papers), Signaling Pathways in Disease (3 papers), Photosynthetic Processes and Mechanisms (2 papers), RNA and protein synthesis mechanisms (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Cancer Research (148 citations), Immunology and Allergy (31 citations), Hematology (53 citations), Oncology (111 citations) and Molecular Biology (169 citations). Jun Yi has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Duanqing Pei, Tiebang Kang, Claudia Köhler, Xing Wang, Xing Wang, Jianxun Lei, Christopher M. Overall, Weiping Jiang, Niels Borregaard and Robert Elde. Their work appears in journals such as Journal of Experimental Botany, The Plant Cell, The FASEB Journal, Journal of Biological Chemistry and FEBS Letters.
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.