Yun‐Xia Luan

1.6k citations
58 papers · 1.2k · h-index 16

Impact in

Papers in

Yun‐Xia Luan

56 papers receiving 1.2k citations

Peers

Yun‐Xia Luan
Comparison fields: 5 of 81
  • Insect Science 308
  • Ecology, Evolution, Behavior and Systematics 312
  • Oceanography 106
  • Paleontology 56
  • Immunology 152
Replace T. Ya. Sitnikova with:
T. Ya. Sitnikova Russia
Nelly Léger France
Lisa M. Smith United Kingdom
Paweł Mackiewicz Poland
Francisco Prosdocimi Brazil
Samuel Blanquart France
Craig S. Wilding United Kingdom
Timothy M. Collins United States
Stéphane Aris‐Brosou Canada
Laura Eme Canada
Yun‐Xia Luan relative to T. Ya. Sitnikova Russia T. Ya. Sitnikova's profile →
Citations per field
00.5×3.3×
T. Ya. Sitnikova · 1×
Citations per year

Countries citing papers authored by Yun‐Xia Luan

Since Specialization
Citations

This map shows the geographic impact of Yun‐Xia Luan'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 Yun‐Xia Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun‐Xia Luan more than expected).

Fields of papers citing papers by Yun‐Xia Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun‐Xia Luan. 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 Yun‐Xia Luan. The network helps show where Yun‐Xia Luan may publish in the future.

Co-authors

The 25 scholars most cited alongside Yun‐Xia Luan, 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 Yun‐Xia Luan Line = papers co-authored together Yun‐Xia Luan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014257
2 2009112
3 2011108
4 201996
5 200583
6 201155
7 201450
8 201238
9 202135
10 201131
11 202329
12 200828
13 202020
14 201720
15 200320
16 200916
17 202215
18 200412
19 202111
20 202310

About Yun‐Xia Luan

Yun‐Xia Luan is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Molecular Biology, Insect Science and Cellular and Molecular Neuroscience, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Collembola Taxonomy and Ecology Studies (23 papers), Insect and Arachnid Ecology and Behavior (13 papers), Study of Mite Species (12 papers), Invertebrate Taxonomy and Ecology (7 papers), Neurobiology and Insect Physiology Research (7 papers), Hemiptera Insect Studies (6 papers), Fossil Insects in Amber (6 papers) and Geology and Paleoclimatology Research (5 papers). The work is most often cited by research in Insect Science (308 citations), Ecology, Evolution, Behavior and Systematics (312 citations), Oceanography (106 citations), Paleontology (56 citations) and Immunology (152 citations). Yun‐Xia Luan has collaborated with scholars based in China, Germany and France. Frequent co-authors include Wei Xie, Qiaoli Zhang, Anrui Lu, Bing Yang, Kai Wu, Erjun Ling, Jie Zhang, Wenying Yin, Pascale Braconnot and Sheng Li. Their work appears in journals such as ZooKeys, Genes, Zootaxa, Insect Science and Insect Biochemistry and Molecular Biology.

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.

Explore authors with similar magnitude of impact