Mei Ling Chen

677 total citations
17 papers, 567 citations indexed

About

Mei Ling Chen is a scholar working on Molecular Biology, Organic Chemistry and Surgery. According to data from OpenAlex, Mei Ling Chen has authored 17 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Organic Chemistry and 2 papers in Surgery. Recurrent topics in Mei Ling Chen's work include Particle Accelerators and Free-Electron Lasers (2 papers), Surgical Sutures and Adhesives (2 papers) and NF-κB Signaling Pathways (2 papers). Mei Ling Chen is often cited by papers focused on Particle Accelerators and Free-Electron Lasers (2 papers), Surgical Sutures and Adhesives (2 papers) and NF-κB Signaling Pathways (2 papers). Mei Ling Chen collaborates with scholars based in United States, Taiwan and China. Mei Ling Chen's co-authors include Sumit Bhattacharyya, Joanne K. Tobacman, Olga Zaborina, Ananda M. Chakrabarty, Ravinder K. Gill, Pradeep K. Dudeja, Robert J. Linhardt, Fuming Zhang, Tohru Yamada and Kazuhide Kimbara and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Tetrahedron.

In The Last Decade

Mei Ling Chen

17 papers receiving 552 citations

Peers

Mei Ling Chen
Comparison fields: 5 of 107
  • Molecular Biology 190
  • Biotechnology 113
  • Immunology 81
  • Aquatic Science 75
  • Oncology 61
Replace Lawrence Dean with:
Lawrence Dean United States
Si Myung Byun South Korea
Yuwen Cong China
Wararat Chiangjong Thailand
Sang‐Chul Lee South Korea
Julio E. Celis Denmark
Fengling Luo China
In Seok Yang South Korea
Makoto Nishikata Japan
Xiaojun Peng China
Lawrence Dean United States View profile →
Citations per field, relative to Mei Ling Chen
Mei Ling Chen · 1×
Citations per year, relative to Mei Ling Chen
Mei Ling Chen · 1×

Countries citing papers authored by Mei Ling Chen

Since Specialization
Citations

This map shows the geographic impact of Mei Ling 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 Mei Ling Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Ling Chen more than expected).

Fields of papers citing papers by Mei Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei Ling 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 Mei Ling Chen. The network helps show where Mei Ling Chen may publish in the future.

Co-authorship network of co-authors of Mei Ling Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Ling Chen. A scholar is included among the top collaborators of Mei Ling 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 Mei Ling Chen. Mei Ling Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 2
2 1
3 1
4 1
5 18
6 11
7 32
8 28
9 3
10 141
11 5
12 12
13 19
14 13
15 152
16 72
17 56

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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