Bin Lu

1.7k citations
52 papers · 735 · h-index 17

Impact in

Papers in

    • Genomics and Phylogenetic Studies 7
    • Plant Gene Expression Analysis 5
    • Plant Virus Research Studies 5
    • Plant Molecular Biology Research 4

Bin Lu

51 papers receiving 727 citations

Peers

Bin Lu
Comparison fields: 5 of 102
  • Ecological Modeling 50
  • Ecology, Evolution, Behavior and Systematics 133
  • Genetics 164
  • Insect Science 63
  • Cellular and Molecular Neuroscience 84
Replace Virpi Ahola with:
Virpi Ahola Finland
Ashlee H. Rowe United States
Annette Zitzmann Germany
Leah Tooman New Zealand
J. Reiß Germany
Omer Nevo Germany
Stacia R. Engel United States
Atsushi Honma Japan
Harold Koopowitz United States
Bin Lu relative to Virpi Ahola Finland Virpi Ahola's profile →
Citations per field
00.5×4.2×
Virpi Ahola · 1×
Citations per year

Countries citing papers authored by Bin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202070
2 202066
3 201837
4 202136
5 201234
6 201433
7 202032
8 201327
9 201324
10 202124
11 202424
12 201723
13 201821
14 201719
15 200919
16 201418
17 201816
18 201615
19 202114
20 202014

About Bin Lu

Bin Lu is a scholar working on Molecular Biology, Plant Science, Genetics, Ecology, Evolution, Behavior and Systematics and Pharmacology, having authored 52 papers that have together received 735 indexed citations. Recurring topics across this work include Genetic diversity and population structure (11 papers), Genomics and Phylogenetic Studies (7 papers), Plant and animal studies (5 papers), Plant Gene Expression Analysis (5 papers), Amphibian and Reptile Biology (5 papers), Plant Virus Research Studies (5 papers), Animal Behavior and Reproduction (4 papers) and Plant Molecular Biology Research (4 papers). The work is most often cited by research in Ecological Modeling (50 citations), Ecology, Evolution, Behavior and Systematics (133 citations), Genetics (164 citations), Insect Science (63 citations) and Cellular and Molecular Neuroscience (84 citations). Bin Lu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jinzhong Fu, Robert W. Murphy, Yin Qi, Weizhao Yang, Minsheng Yang, Xiaoyue Yu, Ke Bi, Pengjun Xu, Xiaomao Zeng and Yuchi Zheng. Their work appears in journals such as PLoS ONE, Molecular Ecology Resources, Molecular Ecology, Acta Pharmacologica Sinica and BMC Evolutionary 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.

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