Guanjun Lu

642 citations
27 papers · 496 · h-index 14

Impact in

Papers in

Guanjun Lu

26 papers receiving 488 citations

Peers

Guanjun Lu
Comparison fields: 5 of 54
  • Ecology, Evolution, Behavior and Systematics 325
  • Developmental Biology 37
  • Ecological Modeling 8
  • Animal Science and Zoology 25
  • Genetics 56
Replace Serena E. Dool with:
Serena E. Dool Germany
Benjamin Allegrini Germany
Chun-Xiang Liu China
Xiaobin Huang China
Gregory L. Mutumi South Africa
Wolfgang Vogl Austria
Yann Gager Germany
Carl Herzog United States
Daniel J. Neubaum United States
Juan Luis Garcia Mudarra Spain
Guanjun Lu relative to Serena E. Dool Germany Serena E. Dool's profile →
Citations per field
00.5×2×4×6×8×9.3×
Serena E. Dool · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201558
2 201650
3 201338
4 201336
5 201034
6 201630
7 201027
8 201626
9 201725
10 201424
11 202221
12 201318
13 201615
14 201514
15 201713
16 201713
17 202111
18 201310
19 201810
20 20219

About Guanjun Lu

Guanjun Lu is a scholar working on Ecology, Evolution, Behavior and Systematics, Rheumatology, Nephrology, Cancer Research and Genetics, having authored 27 papers that have together received 496 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (16 papers), Folate and B Vitamins Research (4 papers), Genetic diversity and population structure (3 papers), Renal Diseases and Glomerulopathies (3 papers), MicroRNA in disease regulation (3 papers), Epigenetics and DNA Methylation (2 papers), Animal Virus Infections Studies (1 paper) and Inflammasome and immune disorders (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (325 citations), Developmental Biology (37 citations), Ecological Modeling (8 citations), Animal Science and Zoology (25 citations) and Genetics (56 citations). Guanjun Lu has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Jiang Feng, Tinglei Jiang, Keping Sun, Aiqing Lin, Lei Wang, Jinhong Luo, Joseph R. Hoyt, Katy L. Parise, Jeffrey T. Foster and Winifred F. Frick. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, BMC Evolutionary Biology, Ethology, Cancer Management and Research and Oryx.

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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