Dalai Yan
Impact in
- Genetics top 2%
- Bacterial Genetics and Biotechnology
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA and protein synthesis mechanisms 5
- Cancer therapeutics and mechanisms 4
- Microbial Metabolic Engineering and Bioproduction 4
- Genetics 13
- Bacterial Genetics and Biotechnology 13
- Co-authors
- Sydney Kustu (9 shared papers)David E. Wemmer (7 shared papers)Seok‐Yong Lee (5 shared papers)Ho S. Cho (5 shared papers)Jeffrey G. Pelton (4 shared papers)Terence Hwa (4 shared papers)Hiroyuki Okano (3 shared papers)Peter Lenz (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Journal of Bacteriology (3 papers)Biochemistry (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Dalai Yan
31 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 97
- Genetics 784
- Molecular Medicine 137
- Molecular Biology 1.4k
- Endocrinology 89
- Biochemistry 100
Countries citing papers authored by Dalai Yan
This map shows the geographic impact of Dalai Yan'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 Dalai Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dalai Yan more than expected).
Fields of papers citing papers by Dalai Yan
This network shows the impact of papers produced by Dalai Yan. 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 Dalai Yan. The network helps show where Dalai Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dalai Yan, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 311 | |
| 2 | 2003 | 169 | |
| 3 | 1998 | 152 | |
| 4 | 2001 | 142 | |
| 5 | 2001 | 135 | |
| 6 | 1999 | 121 | |
| 7 | 2000 | 120 | |
| 8 | 2001 | 119 | |
| 9 | 2007 | 70 | |
| 10 | 2012 | 68 | |
| 11 | 2008 | 58 | |
| 12 | 2003 | 58 | |
| 13 | 2008 | 49 | |
| 14 | 2005 | 48 | |
| 15 | 2016 | 37 | |
| 16 | 1999 | 36 | |
| 17 | 2011 | 31 | |
| 18 | 2001 | 31 | |
| 19 | 2006 | 30 | |
| 20 | 2008 | 23 |
About Dalai Yan
Dalai Yan is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Molecular Medicine and Biochemistry, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), Enzyme Structure and Function (6 papers), Amino Acid Enzymes and Metabolism (5 papers), Antibiotic Resistance in Bacteria (5 papers), RNA and protein synthesis mechanisms (5 papers), Cancer therapeutics and mechanisms (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in Genetics (784 citations), Molecular Medicine (137 citations), Molecular Biology (1.4k citations), Endocrinology (89 citations) and Biochemistry (100 citations). Dalai Yan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Sydney Kustu, David E. Wemmer, Seok‐Yong Lee, Ho S. Cho, Jeffrey G. Pelton, Terence Hwa, Hiroyuki Okano, Peter Lenz, Zhongge Zhang and Minsu Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioorganic & Medicinal Chemistry Letters, Journal of Bacteriology, Biochemistry 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.