Que Lan

3.0k citations
41 papers · 2.5k · 1 hit paper · h-index 22

Impact in

Papers in

Que Lan

41 papers receiving 2.5k citations

Que Lan's Hit Papers

The genome of the model beetle and pest Tribolium castaneum 2008 · 1.2k citations
1.2k0+6+12Years since publication2505007501000

Peers

Que Lan
Comparison fields: 5 of 94
  • Insect Science 1.0k
  • Cellular and Molecular Neuroscience 701
  • Molecular Biology 1.4k
  • Genetics 441
  • Plant Science 602
Replace Neal T. Dittmer with:
Neal T. Dittmer United States
Cheng Lu China
Dov Borovsky United States
Marcela Nouzová United States
Douglas C. Knipple United States
Stephen F. Garczynski United States
Sourav Roy United States
Umut Toprak Türkiye
Yan‐Yuan Bao China
Katia Calp Gondim Brazil
Que Lan relative to Neal T. Dittmer United States Neal T. Dittmer's profile →
Citations per field
00.5×1.7×
Neal T. Dittmer · 1×
Citations per year

Countries citing papers authored by Que Lan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Que Lan Line = papers co-authored together Que Lan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The genome of the model beetle and pest Tribolium castaneum
Hit paper breakdown →
20081188
2 2016138
3 199997
4 200380
5 200578
6 199964
7 199054
8 201654
9 200549
10 200148
11 201047
12 201645
13 200443
14 201538
15 200732
16 198928
17 200427
18 199226
19 201525
20 200824

About Que Lan

Que Lan is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Molecular Biology, Immunology and Public Health, Environmental and Occupational Health, having authored 41 papers that have together received 2.5k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (24 papers), Neurobiology and Insect Physiology Research (20 papers), Invertebrate Immune Response Mechanisms (7 papers), Mosquito-borne diseases and control (7 papers), Insect symbiosis and bacterial influences (6 papers), Insect Pest Control Strategies (5 papers), Insect Utilization and Effects (5 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Insect Science (1.0k citations), Cellular and Molecular Neuroscience (701 citations), Molecular Biology (1.4k citations), Genetics (441 citations) and Plant Science (602 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 jing Hu, Nathan A. Peterson and Justin Clements. 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 Biological Chemistry.

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.

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