Huijuan Li
- Biotechnology top 1%
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 22
- Viral Infectious Diseases and Gene Expression in Insects 9
- Protein purification and stability 7
- Plant Reproductive Biology 5
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- Monoclonal and Polyclonal Antibodies Research 15
- Immunology top 10%
- Galectins and Cancer Biology 7
- Cell Biology top 10%
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- Diabetic Foot Ulcer Assessment and Management 6
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- Wound Healing and Treatments 5
- Co-authors
- Marc d′AnjouTillman U. GerngrossStefan WildtStephen R. HamiltonJuergen H. NettRobert C. DavidsonPiotr BobrowiczTerrance A. Stadheim
- Journals
- Science (2 papers)Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Huijuan Li
118 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 151
- Biotechnology 399
- Molecular Biology 2.0k
- Radiology, Nuclear Medicine and Imaging 582
- Immunology 388
- Cell Biology 162
Countries citing papers authored by Huijuan Li
This map shows the geographic impact of Huijuan Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huijuan Li more than expected).
Fields of papers citing papers by Huijuan Li
This network shows the impact of papers produced by Huijuan Li. 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 Li. The network helps show where Huijuan Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huijuan Li, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 20 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 52 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 56 | |
| 15 | 2019 | 28 | |
| 16 | 2017 | 1 | |
| 17 | Effects of Interceed on endometrial receptivity in rabbits with intrauterine adhesion | 2015 | 2 |
| 18 | [Clinical and genetic analysis of a family with Aicardi-Goutières syndrome and literature review]. | 2014 | 5 |
| 19 | 2013 | 11 | |
| 20 | 2003 | 292 |
About Huijuan Li
Huijuan Li is a scholar working on Aging, Developmental Neuroscience and Rehabilitation, having authored 129 papers that have together received 3.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (22 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), Protein purification and stability (7 papers), Galectins and Cancer Biology (7 papers), Diabetic Foot Ulcer Assessment and Management (6 papers), Wound Healing and Treatments (5 papers) and Plant Reproductive Biology (5 papers). The work is most often cited by research in Biotechnology (399 citations), Molecular Biology (2.0k citations) and Radiology, Nuclear Medicine and Imaging (582 citations). Huijuan Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Marc d′Anjou, Tillman U. Gerngross, Stefan Wildt, Stephen R. Hamilton, Juergen H. Nett, Robert C. Davidson, Piotr Bobrowicz, Terrance A. Stadheim, Teresa Mitchell and Harry Wischnewski. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.