Guimei Li
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Modeling and Simulation top 5%
Papers in
-
- Growth Hormone and Insulin-like Growth Factors 14
- Pituitary Gland Disorders and Treatments 8
- Adrenal Hormones and Disorders 3
- Genetics 18
- Diabetes and associated disorders 6
- Co-authors
- Megan McCauslandJens WrammertRafi AhmedHu ShanR YangJiming ChenHongliang ZhangAneesh K. Mehta
- Journals
- Immunopharmacology and Immunotoxicology (2 papers)Journal of Medical Virology (2 papers)BMC Pediatrics (2 papers)Orphanet Journal of Rare Diseases (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Guimei Li
51 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Immunology 541
- Modeling and Simulation 81
- Epidemiology 599
- Infectious Diseases 316
- Virology 78
Countries citing papers authored by Guimei Li
This map shows the geographic impact of Guimei 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 Guimei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guimei Li more than expected).
Fields of papers citing papers by Guimei Li
This network shows the impact of papers produced by Guimei 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 Guimei Li. The network helps show where Guimei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Guimei 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 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 0 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 12 | |
| 11 | Therapeutic effect of different insulin injections on type 1 diabetes mellitus | 2017 | 1 |
| 12 | 2017 | 4 | |
| 13 | 2015 | 20 | |
| 14 | 2015 | 21 | |
| 15 | 2014 | 6 | |
| 16 | 2014 | 11 | |
| 17 | 2012 | 6 | |
| 18 | 2011 | 1 | |
| 19 | Clinical Research of the Therapeutic Effects of Mifepristone on Endometriosis | 2007 | 1 |
| 20 | 2006 | 4 |
About Guimei Li
Guimei Li is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Reproductive Medicine, Developmental Biology and Clinical Biochemistry, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), Pituitary Gland Disorders and Treatments (8 papers), Diabetes and associated disorders (6 papers), Birth, Development, and Health (5 papers), Hypothalamic control of reproductive hormones (3 papers), Herpesvirus Infections and Treatments (3 papers), Adrenal Hormones and Disorders (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Immunology (541 citations), Modeling and Simulation (81 citations), Epidemiology (599 citations), Infectious Diseases (316 citations) and Virology (78 citations). Guimei Li has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Megan McCausland, Jens Wrammert, Rafi Ahmed, Hu Shan, R Yang, Jiming Chen, Hongliang Zhang, Aneesh K. Mehta, Kanta Subbarao and Kenneth E. Kokko. Their work appears in journals such as Immunopharmacology and Immunotoxicology, Journal of Medical Virology, BMC Pediatrics, Orphanet Journal of Rare Diseases and International Journal of Biological Macromolecules.
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.