Lan Guan
Impact in
- Oncology top 2%
- Drug Transport and Resistance Mechanisms
- Molecular Biology top 2%
- Lipid Membrane Structure and Behavior
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- Ion Transport and Channel Regulation
Papers in
- Oncology 37
- Drug Transport and Resistance Mechanisms 37
-
- Lipid Membrane Structure and Behavior 47
- Protein Structure and Dynamics 21
- Biochemical and Structural Characterization 3
- Co-authors
- H. Ronald Kaback (27 shared papers)Parameswaran Hariharan (45 shared papers)Pil Seok Chae (41 shared papers)Claus Juul Loland (39 shared papers)Bernadette Byrne (39 shared papers)Brian K. Kobilka (30 shared papers)So Iwata (2 shared papers)Osman Mirza (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (15 papers)Journal of Biological Chemistry (10 papers)Chemistry - A European Journal (7 papers)Chemical Science (6 papers)ChemBioChem (5 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Lan Guan
95 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 90
- Oncology 1.2k
- Molecular Biology 2.2k
- Structural Biology 68
- Molecular Medicine 152
- Genetics 553
Countries citing papers authored by Lan Guan
This map shows the geographic impact of Lan Guan'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 Lan Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Guan more than expected).
Fields of papers citing papers by Lan Guan
This network shows the impact of papers produced by Lan Guan. 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 Lan Guan. The network helps show where Lan Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Guan, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 382 | |
| 2 | 2005 | 298 | |
| 3 | 2007 | 193 | |
| 4 | 2006 | 157 | |
| 5 | 2012 | 132 | |
| 6 | 2014 | 123 | |
| 7 | 2001 | 108 | |
| 8 | 2008 | 84 | |
| 9 | 2011 | 77 | |
| 10 | 2006 | 76 | |
| 11 | 2002 | 72 | |
| 12 | 2010 | 65 | |
| 13 | 2003 | 62 | |
| 14 | 2016 | 58 | |
| 15 | 1999 | 56 | |
| 16 | 2003 | 52 | |
| 17 | 2004 | 51 | |
| 18 | 2013 | 51 | |
| 19 | 2017 | 50 | |
| 20 | 2015 | 44 |
About Lan Guan
Lan Guan is a scholar working on Oncology, Molecular Biology, Genetics, Materials Chemistry and Structural Biology, having authored 97 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (47 papers), Drug Transport and Resistance Mechanisms (37 papers), Bacterial Genetics and Biotechnology (26 papers), Protein Structure and Dynamics (21 papers), Enzyme Structure and Function (21 papers), Biochemical and Structural Characterization (3 papers), thermodynamics and calorimetric analyses (2 papers) and Advanced Electron Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Oncology (1.2k citations), Molecular Biology (2.2k citations), Structural Biology (68 citations), Molecular Medicine (152 citations) and Genetics (553 citations). Lan Guan has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include H. Ronald Kaback, Parameswaran Hariharan, Pil Seok Chae, Claus Juul Loland, Bernadette Byrne, Brian K. Kobilka, So Iwata, Osman Mirza, Taiji Nakae and Shailika Nurva. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Chemistry - A European Journal, Chemical Science and ChemBioChem.
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.