Que Lan

2.7k citations
37 papers · 1.1k indexed · h-index 21

Impact in

Papers in

Que Lan

37 papers receiving 1.1k citations

Peers

Que Lan
Comparison fields: 5 of 67
  • Insect Science 435
  • Cellular and Molecular Neuroscience 323
  • Immunology 196
  • Molecular Biology 616
  • Plant Science 310
Replace Andreas Turberg with:
Andreas Turberg Germany
J. F. Koener United States
Min‐Hui Pan China
Douglas A. Shoue United States
M. G. PETER Germany
Yoshiaki Kouzuma Japan
James W. Tracy United States
Yuzhen Lu China
Eva J. Katahira United States
Que Lan relative to Andreas Turberg Germany Andreas Turberg's profile →
Citations per field
00.5×2.6×
Andreas Turberg · 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199987
2 200374
3 200571
4 199954
5 199053
6 201652
7 200548
8 201045
9 200443
10 201637
11 200137
12 201534
13 200729
14 200428
15 198926
16 199225
17 200824
18 201523
19 199322
20 201221

About Que Lan

Que Lan is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Molecular Biology, Biochemistry and Immunology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (23 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 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 (435 citations), Cellular and Molecular Neuroscience (323 citations), Immunology (196 citations), Molecular Biology (616 citations) and Plant Science (310 citations). Que Lan has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Ann M. Fallon, Lynn M. Riddiford, Kiyoshi Hiruma, David H. Dyer, Randall J. Massey, Baohua Zhou, Justin Clements, Sean D. Schoville, Marek Jindra 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 In Vitro Cellular & Developmental Biology - Animal.

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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