Yi Si
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- TGF-β signaling in diseases 3
- Circular RNAs in diseases 3
- Angiogenesis and VEGF in Cancer 3
- Extracellular vesicles in disease 3
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- Protease and Inhibitor Mechanisms 4
- MicroRNA in disease regulation 3
- Co-authors
- K. Craig Kent (6 shared papers)Xudong Shi (5 shared papers)Stephen Seedial (3 shared papers)Bo Liu (3 shared papers)Pasithorn A. Suwanabol (2 shared papers)Bo Liu (2 shared papers)Jun Ren (2 shared papers)Fan Zhang (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)The FASEB Journal (1 paper)ACS Applied Nano Materials (1 paper)Stem Cells (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yi Si
19 papers receiving 447 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 101
- Molecular Medicine 18
- Molecular Biology 246
- Biomaterials 44
- Immunology and Allergy 17
Countries citing papers authored by Yi Si
This map shows the geographic impact of Yi Si'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 Yi Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Si more than expected).
Fields of papers citing papers by Yi Si
This network shows the impact of papers produced by Yi Si. 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 Yi Si. The network helps show where Yi Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Si, 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 | 2012 | 69 | |
| 2 | 2014 | 50 | |
| 3 | 2014 | 44 | |
| 4 | 2014 | 40 | |
| 5 | 2015 | 36 | |
| 6 | 2018 | 35 | |
| 7 | 2012 | 35 | |
| 8 | 2019 | 33 | |
| 9 | 2023 | 21 | |
| 10 | 2016 | 21 | |
| 11 | 2015 | 19 | |
| 12 | 2021 | 16 | |
| 13 | 2017 | 9 | |
| 14 | 2018 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 1 |
About Yi Si
Yi Si is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Allergy and Immunology, having authored 19 papers that have together received 450 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (4 papers), MicroRNA in disease regulation (3 papers), TGF-β signaling in diseases (3 papers), Cell Adhesion Molecules Research (3 papers), Circular RNAs in diseases (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Extracellular vesicles in disease (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Cancer Research (101 citations), Molecular Medicine (18 citations), Molecular Biology (246 citations), Biomaterials (44 citations) and Immunology and Allergy (17 citations). Yi Si has collaborated with scholars based in China and United States. Frequent co-authors include K. Craig Kent, Xudong Shi, Stephen Seedial, Bo Liu, Pasithorn A. Suwanabol, Bo Liu, Jun Ren, Fan Zhang, Nan Ma and Yunjiao Zhang. Their work appears in journals such as Biochemical and Biophysical Research Communications, The FASEB Journal, ACS Applied Nano Materials, Stem Cells and Frontiers in Cell and Developmental 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.