Gloria Li
Impact in
- Research and Theory top 5%
- Leadership and Management top 5%
Papers in
-
- IL-33, ST2, and ILC Pathways 3
- Immune Response and Inflammation 3
- Immune Cell Function and Interaction 2
- Surgery 2
- Transplantation: Methods and Outcomes 2
- Co-authors
- Eyal Raz (3 shared papers)Jong‐Dae Lee (3 shared papers)Kyoko Katakura (3 shared papers)Lars Eckmann (3 shared papers)Daniel Rachmilewitz (3 shared papers)Ian J. Deary (2 shared papers)Roger Watson (2 shared papers)David R. Thompson (2 shared papers)
- Journals
- Journal of Clinical Investigation (3 papers)Mathematical Biosciences & Engineering (1 paper)Journal of Neuroinflammation (1 paper)International Journal of Nursing Studies (1 paper)Transplant International (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Gloria Li
10 papers receiving 759 citations
Peers
Comparison fields: 5 of 120
- Research and Theory 35
- Leadership and Management 23
- Modeling and Simulation 69
- Immunology 252
- Health Informatics 11
Countries citing papers authored by Gloria Li
This map shows the geographic impact of Gloria 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 Gloria Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gloria Li more than expected).
Fields of papers citing papers by Gloria Li
This network shows the impact of papers produced by Gloria 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 Gloria Li. The network helps show where Gloria Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Gloria 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 | 2005 | 390 | |
| 2 | 2008 | 197 | |
| 3 | Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak | 2020 | 125 |
| 4 | 2021 | 33 | |
| 5 | 2005 | 29 | |
| 6 | 2010 | 10 | |
| 7 | 2021 | 7 | |
| 8 | 2005 | 5 | |
| 9 | Ixiles y ladinos : el pluralismo social en el altiplano de Guatemala | 1977 | 1 |
| 10 | 2019 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2024 | 0 | |
| 14 | 2019 | 0 |
About Gloria Li
Gloria Li is a scholar working on Immunology, Surgery, General Health Professions, Artificial Intelligence and Biomedical Engineering, having authored 14 papers that have together received 798 indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (3 papers), Immune Response and Inflammation (3 papers), Healthcare professionals’ stress and burnout (2 papers), Transplantation: Methods and Outcomes (2 papers), Immune Cell Function and Interaction (2 papers), COVID-19 diagnosis using AI (1 paper), Neuroscience and Neural Engineering (1 paper) and Glaucoma and retinal disorders (1 paper). The work is most often cited by research in Research and Theory (35 citations), Leadership and Management (23 citations), Modeling and Simulation (69 citations), Immunology (252 citations) and Health Informatics (11 citations). Gloria Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Eyal Raz, Jong‐Dae Lee, Kyoko Katakura, Lars Eckmann, Daniel Rachmilewitz, Ian J. Deary, Roger Watson, David R. Thompson, Simon Fong and Nilanjan Dey. Their work appears in journals such as Journal of Clinical Investigation, Mathematical Biosciences & Engineering, Journal of Neuroinflammation, International Journal of Nursing Studies and Transplant International.
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.