Lien Chu

2.2k total citations
6 papers, 338 citations indexed

About

Lien Chu is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lien Chu has authored 6 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Lien Chu's work include Bacterial Genetics and Biotechnology (3 papers), Erythropoietin and Anemia Treatment (1 paper) and Protein Structure and Dynamics (1 paper). Lien Chu is often cited by papers focused on Bacterial Genetics and Biotechnology (3 papers), Erythropoietin and Anemia Treatment (1 paper) and Protein Structure and Dynamics (1 paper). Lien Chu collaborates with scholars based in United States and United Kingdom. Lien Chu's co-authors include Tapan K. Misra, Simón Silver, Giuseppina Nucifora, Thomas B. May, A. M. Chakrabarty, Sandeep K. Tripathy, Hugh B. Black, E. C. Svensson, Jeffrey M. Leiden and Debra L. Dugger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Trends in Biochemical Sciences.

In The Last Decade

Lien Chu

6 papers receiving 328 citations

Peers

Lien Chu
Comparison fields: 5 of 79
  • Molecular Biology 181
  • Genetics 96
  • Nutrition and Dietetics 58
  • Health, Toxicology and Mutagenesis 43
  • Biomedical Engineering 43
Carine Lombard France
Wenmao Meng United Kingdom
K Sugawara Japan
Avneesh K. Saini United States
Chi‐Meng Tzeng United States
Carlos Eduardo Bonacossa de Almeida Brazil
Kei Motomura Japan
Sonja M. Koning Netherlands
Kwang-Seo Kim United States
Michael G. Sturr United States
Carine Lombard France View profile →
Citations per field, relative to Lien Chu
Lien Chu · 1×
Citations per year, relative to Lien Chu
Lien Chu · 1×

Countries citing papers authored by Lien Chu

Since Specialization
Citations

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

Fields of papers citing papers by Lien Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lien Chu. 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 Lien Chu. The network helps show where Lien Chu may publish in the future.

Co-authorship network of co-authors of Lien Chu

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 27
2 51
3 82
4 43
5 134
6
Cloning andDNA Sequence ofa Plasmid-Determined Citrate Utilization SysteminEscherichia coli
1

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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