Chung‐Dar Lu
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Biochemistry top 0.5%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Polyamine Metabolism and Applications 26
- Bacterial biofilms and quorum sensing 17
- RNA and protein synthesis mechanisms 6
- Enzyme Catalysis and Immobilization 5
- Genetics 37
- Bacterial Genetics and Biotechnology 37
- Co-authors
- Ahmed T. Abdelal (23 shared papers)Dong H. Kwon (2 shared papers)Dong-Hyeon Kwon (3 shared papers)Congran Li (8 shared papers)Hosam E. Ewis (8 shared papers)Han Ting Chou (9 shared papers)Zhe Yang (3 shared papers)Phang C. Tai (10 shared papers)
- Journals
- Journal of Bacteriology (27 papers)Current Microbiology (7 papers)Antimicrobial Agents and Chemotherapy (6 papers)Microbiology (5 papers)Journal of Molecular Biology (3 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Chung‐Dar Lu
69 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 112
- Molecular Medicine 334
- Biochemistry 479
- Endocrinology 175
- Microbiology 183
- Genetics 755
Countries citing papers authored by Chung‐Dar Lu
This map shows the geographic impact of Chung‐Dar Lu'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 Chung‐Dar Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung‐Dar Lu more than expected).
Fields of papers citing papers by Chung‐Dar Lu
This network shows the impact of papers produced by Chung‐Dar Lu. 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 Chung‐Dar Lu. The network helps show where Chung‐Dar Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chung‐Dar Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 137 | |
| 2 | 2006 | 116 | |
| 3 | 2006 | 107 | |
| 4 | 2011 | 91 | |
| 5 | 2002 | 90 | |
| 6 | 2006 | 85 | |
| 7 | 2007 | 84 | |
| 8 | 2004 | 82 | |
| 9 | 1999 | 77 | |
| 10 | 2008 | 77 | |
| 11 | 2004 | 69 | |
| 12 | 1998 | 66 | |
| 13 | 1997 | 65 | |
| 14 | 1992 | 62 | |
| 15 | 2009 | 59 | |
| 16 | 2001 | 58 | |
| 17 | 2004 | 56 | |
| 18 | 1997 | 54 | |
| 19 | 2009 | 53 | |
| 20 | 2008 | 49 |
About Chung‐Dar Lu
Chung‐Dar Lu is a scholar working on Molecular Biology, Genetics, Biochemistry, Materials Chemistry and Ecology, having authored 69 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (37 papers), Polyamine Metabolism and Applications (26 papers), Amino Acid Enzymes and Metabolism (25 papers), Enzyme Structure and Function (19 papers), Bacterial biofilms and quorum sensing (17 papers), Bacteriophages and microbial interactions (10 papers), RNA and protein synthesis mechanisms (6 papers) and Enzyme Catalysis and Immobilization (5 papers). The work is most often cited by research in Molecular Medicine (334 citations), Biochemistry (479 citations), Endocrinology (175 citations), Microbiology (183 citations) and Genetics (755 citations). Chung‐Dar Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ahmed T. Abdelal, Dong H. Kwon, Dong-Hyeon Kwon, Congran Li, Hosam E. Ewis, Han Ting Chou, Zhe Yang, Phang C. Tai, Yoshifumi Itoh and Xiangyu Yao. Their work appears in journals such as Journal of Bacteriology, Current Microbiology, Antimicrobial Agents and Chemotherapy, Microbiology and Journal of Molecular Biology.
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.