Huijuan Shi
- Cancer Research top 2%
- MicroRNA in disease regulation 17
- Cancer-related molecular mechanisms research 13
- Reproductive Medicine top 5%
- Molecular Biology top 10%
- Circular RNAs in diseases 11
- Epigenetics and DNA Methylation 7
- Oncology top 10%
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- Psoriasis: Treatment and Pathogenesis 10
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- Dermatology and Skin Diseases 8
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- AI in cancer detection 7
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- Sarcoma Diagnosis and Treatment 6
- Co-authors
- Anjia HanXiangliang ZhangTiantian ZhenShuzhong CuiHongsheng TangMingchen BaFenfen ZhangJiangtao Liang
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)Biomaterials (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Huijuan Shi
115 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 122
- Cancer Research 808
- Pathology and Forensic Medicine 323
- Reproductive Medicine 148
- Molecular Biology 1.1k
- Oncology 418
Countries citing papers authored by Huijuan Shi
This map shows the geographic impact of Huijuan Shi'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 Huijuan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huijuan Shi more than expected).
Fields of papers citing papers by Huijuan Shi
This network shows the impact of papers produced by Huijuan Shi. 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 Huijuan Shi. The network helps show where Huijuan Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huijuan Shi, 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 | 2024 | 4 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 46 | |
| 7 | 2021 | 84 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 50 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 16 | |
| 12 | 2020 | 41 | |
| 13 | 2019 | 36 | |
| 14 | 2018 | 4 | |
| 15 | 2018 | 12 | |
| 16 | 2017 | 16 | |
| 17 | 2015 | 65 | |
| 18 | Retinoid X Receptor-α Expression Suppression and its Promoter Methylation Associates with β-catenin Expression in Colorectal Cancer | 2014 | 1 |
| 19 | 2014 | 24 | |
| 20 | 2011 | 12 |
About Huijuan Shi
Huijuan Shi is a scholar working on Cancer Research, Dermatology and Immunology, having authored 121 papers that have together received 2.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (17 papers), Cancer-related molecular mechanisms research (13 papers), Circular RNAs in diseases (11 papers), Psoriasis: Treatment and Pathogenesis (10 papers), Dermatology and Skin Diseases (8 papers), Epigenetics and DNA Methylation (7 papers), AI in cancer detection (7 papers) and Sarcoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Cancer Research (808 citations), Pathology and Forensic Medicine (323 citations) and Reproductive Medicine (148 citations). Huijuan Shi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Anjia Han, Xiangliang Zhang, Tiantian Zhen, Shuzhong Cui, Hongsheng Tang, Mingchen Ba, Fenfen Zhang, Jiangtao Liang, Yun Niu and Gary M. Tse. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.
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.