Li-Mei Chen
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
Papers in ⓘ
-
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Jorge E. Galán (3 shared papers)Silke Hobbie (2 shared papers)Roger J. Davis (1 shared paper)Stephen J. Elledge (1 shared paper)Thomas Pertel (1 shared paper)Rubén O. Donis (1 shared paper)Sinu P. John (1 shared paper)Gaurav D. Gaiha (1 shared paper)
- Journals
- PLoS Pathogens (1 paper)The Journal of Immunology (1 paper)Cell Death Discovery (1 paper)Environment International (1 paper)Journal of Cancer Research and Clinical Oncology (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Li-Mei Chen
7 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Endocrinology 228
- Immunology 398
- Food Science 259
- Infectious Diseases 211
- Virology 36
Countries citing papers authored by Li-Mei Chen
This map shows the geographic impact of Li-Mei Chen'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 Li-Mei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Mei Chen more than expected).
Fields of papers citing papers by Li-Mei Chen
This network shows the impact of papers produced by Li-Mei Chen. 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 Li-Mei Chen. The network helps show where Li-Mei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Li-Mei Chen, 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 | 1997 | 339 | |
| 2 | 2011 | 321 | |
| 3 | 1996 | 255 | |
| 4 | 1999 | 46 | |
| 5 | 2021 | 27 | |
| 6 | 2006 | 26 | |
| 7 | 2009 | 25 | |
| 8 | Co-culture induces expression of female primordial germ cell-specific genes in human Wharton's jelly-derived mesenchymal stem cells. | 2022 | 0 |
| 9 | 2024 | 0 |
About Li-Mei Chen
Li-Mei Chen is a scholar working on Endocrinology, Cell Biology, Biophysics, Speech and Hearing and Biotechnology, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), interferon and immune responses (1 paper), Protein Tyrosine Phosphatases (1 paper), Cancer-related Molecular Pathways (1 paper), Cancer Research and Treatments (1 paper), ATP Synthase and ATPases Research (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Endocrinology (228 citations), Immunology (398 citations), Food Science (259 citations), Infectious Diseases (211 citations) and Virology (36 citations). Li-Mei Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jorge E. Galán, Silke Hobbie, Roger J. Davis, Stephen J. Elledge, Thomas Pertel, Rubén O. Donis, Sinu P. John, Gaurav D. Gaiha, Jennifer S. Sims and Abraham L. Brass. Their work appears in journals such as PLoS Pathogens, The Journal of Immunology, Cell Death Discovery, Environment International and Journal of Cancer Research and Clinical Oncology.
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.