Bin Luo

514 citations
36 papers · 373 · h-index 11

Impact in

Papers in

Bin Luo

36 papers receiving 364 citations

Peers

Bin Luo
Comparison fields: 5 of 88
  • Reproductive Medicine 72
  • Obstetrics and Gynecology 53
  • Immunology 108
  • Management, Monitoring, Policy and Law 46
  • Immunology and Allergy 22
Replace Gayle M Jones with:
Gayle M Jones Australia
Mengya Zhou China
Qianlin Song China
Kejia Wu China
Xiaotong Sun China
Jonathan Florentin United States
Silu Chen China
Donghai Zhang China
Xinyao Wu China
Wenjing Shi China
Bin Luo relative to Gayle M Jones Australia Gayle M Jones's profile →
Citations per field
00.5×1.5×
Gayle M Jones · 1×
Citations per year

Countries citing papers authored by Bin Luo

Since Specialization
Citations

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

Fields of papers citing papers by Bin Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200164
2 201859
3 201930
4 202028
5 202019
6
[The role of urotensin II gene in the genetic susceptibility to type 2 diabetes in Chinese population].
200219
7 201715
8 202015
9 201912
10 202112
11 201710
12 202110
13 20219
14 20149
15 20159
16 20208
17 20166
18 20225
19 20185
20 20224

About Bin Luo

Bin Luo is a scholar working on Molecular Biology, Civil and Structural Engineering, Management, Monitoring, Policy and Law, Reproductive Medicine and Surgery, having authored 36 papers that have together received 373 indexed citations. Recurring topics across this work include Landslides and related hazards (6 papers), Asthma and respiratory diseases (4 papers), Geotechnical Engineering and Underground Structures (4 papers), Endometriosis Research and Treatment (3 papers), Reproductive System and Pregnancy (3 papers), Reproductive Biology and Fertility (3 papers), Animal Nutrition and Physiology (2 papers) and Allergic Rhinitis and Sensitization (2 papers). The work is most often cited by research in Reproductive Medicine (72 citations), Obstetrics and Gynecology (53 citations), Immunology (108 citations), Management, Monitoring, Policy and Law (46 citations) and Immunology and Allergy (22 citations). Bin Luo has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Tatsuya Ishikawa, Yulong Zhu, Srikrishnan Siva Subramanian, Charles G. Garlisi, Wei Huang, Yvette Crawley, Ted T. Kung, William Kreutner, Michael Minnicozzi and Kristine Devito. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, BioMed Research International, Pharmacology, Polymer Composites and Engineering Geology.

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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