Junming Luo

44 papers receiving 942 citations

Peers

Junming Luo
Comparison fields: 5 of 107
  • Rheumatology 181
  • Immunology and Allergy 53
  • Cancer Research 118
  • Endocrinology, Diabetes and Metabolism 111
  • Molecular Biology 443
Replace Atsushi Suzuki with:
Atsushi Suzuki Japan
S. Lindemann Germany
Je-Hwang Ryu South Korea
Jaime Gutiérrez Chile
I-Wen Song United States
Antonio Maurizi Italy
Ryoichi Tsukuda Japan
Jiyoon Ryu United States
Sarah E. Tague United States
Mario C. Rico United States
Junming Luo relative to Atsushi Suzuki Japan Atsushi Suzuki's profile →
Citations per field
00.5×2.9×
Atsushi Suzuki · 1×
Citations per year

Countries citing papers authored by Junming Luo

Since Specialization
Citations

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

Fields of papers citing papers by Junming Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008201
2 200675
3 201066
4 200964
5 200861
6 201955
7 201548
8 201745
9 200844
10 201842
11 202123
12 201419
13 201719
14 201619
15 201417
16 201811
17 201711
18 200811
19 201310
20 202110

About Junming Luo

Junming Luo is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 45 papers that have together received 956 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Cell Adhesion Molecules Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Connective Tissue Growth Factor Research (3 papers), TGF-β signaling in diseases (3 papers), Cancer-related molecular mechanisms research (3 papers), High Altitude and Hypoxia (3 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Rheumatology (181 citations), Immunology and Allergy (53 citations), Cancer Research (118 citations), Endocrinology, Diabetes and Metabolism (111 citations) and Molecular Biology (443 citations). Junming Luo has collaborated with scholars based in China, United States and Japan. Frequent co-authors include L. Darryl Quarles, Zhousheng Xiao, Shiqin Zhang, Qian Chen, Ming Pei, Benyi Li, Min Pi, Ling Chen, Jianghong Zhang and Pieter Faber. Their work appears in journals such as Scientific Reports, Journal of Orthopaedic Surgery and Research, BioMed Research International, International Journal of Molecular Medicine and Biochemical and Biophysical Research Communications.

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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