Bin Lou

3.8k citations
55 papers · 1.2k · h-index 16

Impact in

Papers in

    • Ubiquitin and proteasome pathways 3
    • 14-3-3 protein interactions 2
    • Hepatitis B Virus Studies 6
    • Cervical Cancer and HPV Research 2

Bin Lou

53 papers receiving 1.1k citations

Peers

Bin Lou
Comparison fields: 5 of 120
  • Molecular Medicine 104
  • Hepatology 87
  • Biophysics 52
  • Molecular Biology 517
  • Epidemiology 212
Replace Shriti Singh with:
Shriti Singh India
Eman El‐Ahwany Egypt
Yong Luo China
Shifeng Huang China
Lijie Ma China
Hongwei Zhang China
Wendong Wang China
Li Fu United States
Xiaoping Wu China
Hong Namkoong South Korea
Bin Lou relative to Shriti Singh India Shriti Singh's profile →
Citations per field
00.5×10×15.3×
Shriti Singh · 1×
Citations per year

Countries citing papers authored by Bin Lou

Since Specialization
Citations

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

Fields of papers citing papers by Bin Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010101
2 201895
3 201792
4 201188
5 201777
6 201076
7 202168
8 201756
9 201456
10 201144
11 201042
12 201333
13 200631
14 201323
15 201721
16 202120
17 202414
18 202014
19 202214
20 201913

About Bin Lou

Bin Lou is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Mechanical Engineering and Biophysics, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Fiber-reinforced polymer composites (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers), Ubiquitin and proteasome pathways (3 papers), Hormonal and reproductive studies (3 papers), Polymer composites and self-healing (2 papers), 14-3-3 protein interactions (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Molecular Medicine (104 citations), Hepatology (87 citations), Biophysics (52 citations), Molecular Biology (517 citations) and Epidemiology (212 citations). Bin Lou has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bicheng Chen, Dinglai Yu, Yukai Xiang, Mengtao Zhou, Yuhong Du, Haian Fu, Hongyang Wang, Ningtao Cheng, Feifei Lv and Wen Ye. Their work appears in journals such as Journal of Analytical and Applied Pyrolysis, Clinica Chimica Acta, Biosensors and Bioelectronics, Frontiers in Cellular and Infection Microbiology and Cancer Letters.

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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