Guanjun Lu

660 citations
28 papers · 428 · h-index 13

Impact in

Papers in

Guanjun Lu

26 papers receiving 423 citations

Peers

Guanjun Lu
Comparison fields: 5 of 68
  • Developmental Biology 128
  • Ecological Modeling 73
  • Ecology, Evolution, Behavior and Systematics 294
  • Ecology 182
  • Infectious Diseases 67
Replace Erin E. Fraser with:
Erin E. Fraser Canada
Benjamin Allegrini Germany
Gregory L. Mutumi South Africa
David Almenar Spain
Egoitz Salsamendi Spain
Samantha Stoffberg South Africa
Yann Gager Germany
Anna Bastian South Africa
Michal Andreas Czechia
Naijian Han China
Guanjun Lu relative to Erin E. Fraser Canada Erin E. Fraser's profile →
Citations per field
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Erin E. Fraser · 1×
Citations per year

Countries citing papers authored by Guanjun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Guanjun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guanjun Lu. 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 Guanjun Lu. The network helps show where Guanjun Lu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201646
2 201337
3 201335
4 201034
5 201630
6 201027
7 201424
8 201724
9 201621
10 202219
11 201318
12 201615
13 201714
14 201512
15 201712
16 201210
17 202110
18 20139
19 20189
20 20218

About Guanjun Lu

Guanjun Lu is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology, Developmental Biology, Molecular Biology and Genetics, having authored 28 papers that have together received 428 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (18 papers), Marine animal studies overview (11 papers), Animal Vocal Communication and Behavior (10 papers), Epigenetics and DNA Methylation (3 papers), Wildlife Ecology and Conservation (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Folate and B Vitamins Research (2 papers) and Species Distribution and Climate Change (2 papers). The work is most often cited by research in Developmental Biology (128 citations), Ecological Modeling (73 citations), Ecology, Evolution, Behavior and Systematics (294 citations), Ecology (182 citations) and Infectious Diseases (67 citations). Guanjun Lu has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Jiang Feng, Tinglei Jiang, Keping Sun, Lei Wang, Aiqing Lin, Jinhong Luo, Bo Luo, Sen Liu, Xiaobin Huang and Jing Wang. Their work appears in journals such as BMC Evolutionary Biology, Ethology, Acta Biochimica et Biophysica Sinica, Cancer Management and Research and Behavioral Ecology.

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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