Dan Lü
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- CRISPR and Genetic Engineering 3
- RNA Research and Splicing 2
- Protein Structure and Dynamics 2
- RNA regulation and disease 2
-
- Endoplasmic Reticulum Stress and Disease 5
- Co-authors
- Tsonwin Hai (5 shared papers)M. Guillaume Wientjes (3 shared papers)Jessie L.‐S. Au (3 shared papers)Seong H. Jang (1 shared paper)David Ron (2 shared papers)Curt D. Wolfgang (1 shared paper)Jingchun Chen (1 shared paper)Douglas D. Boyd (1 shared paper)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (2 papers)Molecular and Cellular Biology (2 papers)Journal of Enzyme Inhibition and Medicinal Chemistry (1 paper)Bioinformatics (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Dan Lü
34 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 126
- Cell Biology 473
- Biomaterials 300
- Molecular Biology 1.1k
- Cancer Research 201
- Oncology 277
Countries citing papers authored by Dan Lü
This map shows the geographic impact of Dan Lü'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 Dan Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Lü more than expected).
Fields of papers citing papers by Dan Lü
This network shows the impact of papers produced by Dan Lü. 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 Dan Lü. The network helps show where Dan Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Lü, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 409 | |
| 2 | 2003 | 373 | |
| 3 | 2004 | 267 | |
| 4 | 2005 | 180 | |
| 5 | 2006 | 172 | |
| 6 | 2006 | 140 | |
| 7 | 2007 | 110 | |
| 8 | 2008 | 83 | |
| 9 | 2021 | 51 | |
| 10 | 2009 | 43 | |
| 11 | 2019 | 35 | |
| 12 | 2002 | 33 | |
| 13 | 2018 | 25 | |
| 14 | 2022 | 24 | |
| 15 | 2016 | 24 | |
| 16 | 2022 | 24 | |
| 17 | 2022 | 19 | |
| 18 | 2017 | 16 | |
| 19 | 2005 | 14 | |
| 20 | 2015 | 11 |
About Dan Lü
Dan Lü is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Oncology and Biotechnology, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (5 papers), CRISPR and Genetic Engineering (3 papers), Cancer-related Molecular Pathways (3 papers), Nanoplatforms for cancer theranostics (2 papers), Nanoparticle-Based Drug Delivery (2 papers), RNA Research and Splicing (2 papers), Protein Structure and Dynamics (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Cell Biology (473 citations), Biomaterials (300 citations), Molecular Biology (1.1k citations), Cancer Research (201 citations) and Oncology (277 citations). Dan Lü has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Tsonwin Hai, M. Guillaume Wientjes, Jessie L.‐S. Au, Seong H. Jang, David Ron, Curt D. Wolfgang, Jingchun Chen, Douglas D. Boyd, Chunhong Yan and Xiaozhong Wang. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Molecular and Cellular Biology, Journal of Enzyme Inhibition and Medicinal Chemistry, Bioinformatics and Bioorganic & Medicinal Chemistry Letters.
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.