Que Lan
Impact in
- Insect Science top 2%
- Insect and Pesticide Research
- Insect symbiosis and bacterial influences
- Insect Utilization and Effects
-
- Neurobiology and Insect Physiology Research
Papers in
-
- Insect Resistance and Genetics 22
- Heat shock proteins research 3
-
- Neurobiology and Insect Physiology Research 19
- Co-authors
- Ann M. Fallon (5 shared papers)Lynn M. Riddiford (4 shared papers)Kiyoshi Hiruma (3 shared papers)David H. Dyer (5 shared papers)Baohua Zhou (2 shared papers)Randall J. Massey (1 shared paper)Marek Jindra (1 shared paper)Xiao Hu (1 shared paper)
- Journals
- Journal of Medical Entomology (6 papers)Insect Biochemistry and Molecular Biology (4 papers)Journal of Lipid Research (3 papers)PLoS ONE (3 papers)Journal of Insect Physiology (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Que Lan
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 70
- Insect Science 436
- Cellular and Molecular Neuroscience 356
- Immunology 193
- Molecular Biology 621
- Plant Science 308
Countries citing papers authored by Que Lan
This map shows the geographic impact of Que Lan'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 Que Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Que Lan more than expected).
Fields of papers citing papers by Que Lan
This network shows the impact of papers produced by Que Lan. 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 Que Lan. The network helps show where Que Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Que Lan, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 99 | |
| 2 | 2003 | 79 | |
| 3 | 2005 | 78 | |
| 4 | 1999 | 67 | |
| 5 | 2016 | 54 | |
| 6 | 1990 | 54 | |
| 7 | 2001 | 50 | |
| 8 | 2005 | 48 | |
| 9 | 2010 | 47 | |
| 10 | 2016 | 45 | |
| 11 | 2004 | 43 | |
| 12 | 2015 | 36 | |
| 13 | 2007 | 31 | |
| 14 | 2004 | 28 | |
| 15 | 1989 | 28 | |
| 16 | 1992 | 26 | |
| 17 | 2008 | 24 | |
| 18 | 2015 | 24 | |
| 19 | 1999 | 23 | |
| 20 | 1993 | 23 |
About Que Lan
Que Lan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Insect Science, Plant Science and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (22 papers), Neurobiology and Insect Physiology Research (19 papers), Mosquito-borne diseases and control (7 papers), Invertebrate Immune Response Mechanisms (6 papers), Insect symbiosis and bacterial influences (6 papers), Insect Utilization and Effects (5 papers), Insect Pest Control Strategies (5 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Insect Science (436 citations), Cellular and Molecular Neuroscience (356 citations), Immunology (193 citations), Molecular Biology (621 citations) and Plant Science (308 citations). Que Lan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ann M. Fallon, Lynn M. Riddiford, Kiyoshi Hiruma, David H. Dyer, Baohua Zhou, Randall J. Massey, Marek Jindra, Xiao Hu, Justin Clements and Nathan A. Peterson. Their work appears in journals such as Journal of Medical Entomology, Insect Biochemistry and Molecular Biology, Journal of Lipid Research, PLoS ONE and Journal of Insect Physiology.
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.