Li-Mei Chen

1.3k total citations
9 papers, 1.0k citations indexed

About

Li-Mei Chen is a scholar working on Molecular Biology, Cell Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Li-Mei Chen has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Li-Mei Chen's work include Salmonella and Campylobacter epidemiology (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Air Quality and Health Impacts (1 paper). Li-Mei Chen is often cited by papers focused on Salmonella and Campylobacter epidemiology (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Air Quality and Health Impacts (1 paper). Li-Mei Chen collaborates with scholars based in United States, China and Taiwan. Li-Mei Chen's co-authors include Jorge E. Galán, Silke Hobbie, Roger J. Davis, Stephen J. Elledge, Eric M. Feeley, Rubén O. Donis, Sinu P. John, Thomas Pertel, Abraham L. Brass and Christopher R. Chin and has published in prestigious journals such as Science, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Li-Mei Chen

7 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Li-Mei Chen United States	7	398	313	259	228	211	9	1.0k
Fabrizia Stavru France	15	415 1.0×	851 2.7×	253 1.0×	175 0.8×	179 0.8×	21	1.6k
Pamela Schnupf France	18	262 0.7×	623 2.0×	328 1.3×	260 1.1×	306 1.5×	28	1.4k
Tregei Starr United States	16	292 0.7×	328 1.0×	198 0.8×	334 1.5×	97 0.5×	22	1.2k
Thierry Vasselon France	16	637 1.6×	311 1.0×	147 0.6×	498 2.2×	337 1.6×	18	1.5k
Bae-Hoon Kim South Korea	17	754 1.9×	726 2.3×	190 0.7×	204 0.9×	264 1.3×	34	1.8k
Hua Niu China	18	229 0.6×	287 0.9×	66 0.3×	183 0.8×	214 1.0×	38	994
Nadia Khelef France	15	239 0.6×	469 1.5×	110 0.4×	279 1.2×	149 0.7×	18	1.3k
Silke Hobbie Germany	12	287 0.7×	508 1.6×	258 1.0×	361 1.6×	125 0.6×	14	1.2k
Tanja Petnicki‐Ocwieja United States	14	404 1.0×	569 1.8×	106 0.4×	83 0.4×	279 1.3×	19	1.9k

Countries citing papers authored by Li-Mei Chen

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Li-Mei Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Li-Mei Chen. A scholar is included among the top collaborators of Li-Mei Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li-Mei Chen. Li-Mei Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Lin, Hsiao-Han, Yu‐Ting Liao, Shauh‐Der Yeh, et al.. (2024). DUSP22 inhibits lung tumorigenesis by suppression of EGFR/c-Met signaling. Cell Death Discovery. 10(1). 285–285.

Li, Yuyan, et al.. (2022). Co-culture induces expression of female primordial germ cell-specific genes in human Wharton's jelly-derived mesenchymal stem cells.. PubMed. 14(12). 8828–8842.

Huang, Sha, Chan Mo, Ting Zeng, et al.. (2021). Lupeol ameliorates LPS/D-GalN induced acute hepatic damage by suppressing inflammation and oxidative stress through TGFβ1-Nrf2 signal pathway. Aging. 13(5). 6592–6605. 27 indexed citations

Feeley, Eric M., Jennifer S. Sims, Sinu P. John, et al.. (2011). IFITM3 Inhibits Influenza A Virus Infection by Preventing Cytosolic Entry. PLoS Pathogens. 7(10). e1002337–e1002337. 321 indexed citations

Zhao, Chunling, Lei Gong, Wentong Li, & Li-Mei Chen. (2009). Overexpression of Plk1 promotes malignant progress in human esophageal squamous cell carcinoma. Journal of Cancer Research and Clinical Oncology. 136(1). 9–16. 25 indexed citations

Li, Chung‐Yi, Gabor Mezei, Fung‐Chang Sung, et al.. (2006). Survey of residential extremely-low-frequency magnetic field exposure among children in Taiwan. Environment International. 33(2). 233–238. 26 indexed citations

Chen, Li-Mei, Shubha Bagrodia, Richard A. Cerione, & Jorge E. Galán. (1999). Requirement of p21-activated Kinase (PAK) for Salmonella typhimurium–induced Nuclear Responses. The Journal of Experimental Medicine. 189(9). 1479–1488. 46 indexed citations

Hobbie, Silke, Li-Mei Chen, Roger J. Davis, & Jorge E. Galán. (1997). Involvement of mitogen-activated protein kinase pathways in the nuclear responses and cytokine production induced by Salmonella typhimurium in cultured intestinal epithelial cells. The Journal of Immunology. 159(11). 5550–5559. 339 indexed citations

Chen, Li-Mei, Silke Hobbie, & Jorge E. Galán. (1996). Requirement of CDC42 for Salmonella -Induced Cytoskeletal and Nuclear Responses. Science. 274(5295). 2115–2118. 255 indexed citations

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.

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