Liu Cm

30 papers receiving 419 citations

Peers

Liu Cm
Comparison fields: 5 of 99
  • Developmental Neuroscience 25
  • Cancer Research 66
  • Aging 6
  • Physiology 80
  • Molecular Biology 211
Replace Chi-Hsien Peng with:
Chi-Hsien Peng Taiwan
G. Cole United Kingdom
Rachelle Levy United States
Mei-Juan Shi China
Yinan Zhang United States
Magdaléna Harakaľová Netherlands
Xuan Zhai China
Christine Briggs United States
David Brassat France
Hong Zeng China
Liu Cm relative to Chi-Hsien Peng Taiwan Chi-Hsien Peng's profile →
Citations per field
00.5×1.5×
Chi-Hsien Peng · 1×
Citations per year

Countries citing papers authored by Liu Cm

Since Specialization
Citations

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

Fields of papers citing papers by Liu Cm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200780
2 201566
3 200765
4
Regulatory T cells in the pathogenesis of type 2 diabetes mellitus retinopathy by miR-155.
201543
5 201526
6 201121
7
Nasal schwannoma: a case report and clinicopathologic analysis.
200115
8
Increased interleukin-1 beta levels in gingival crevicular fluid of Chinese periodontal patients.
199414
9 201913
10
High frequency reconstruction for band-limited audio signals
200313
11
SOAP3: GPU-based compressed indexing and ultra-fast parallel alignment of short reads
201113
12 201110
13 20207
14 20136
15
Inducing vocal register transition in an in vivo evoked phonation canine model.
20015
16 20184
17 20214
18
Expression of matrix proteins in cloned fibroblasts derived from periodontal tissue under different cell growth densities.
19954
19
Postpartum hemorrhage of the uterine artery rupture.
19983
20
Investigation into allergic response in patients with chronic sinusitis.
19923

About Liu Cm

Liu Cm is a scholar working on Surgery, Molecular Biology, Physiology, Public Health, Environmental and Occupational Health and Immunology and Allergy, having authored 33 papers that have together received 429 indexed citations. Recurring topics across this work include Oral and Maxillofacial Pathology (2 papers), Muscle Physiology and Disorders (2 papers), Asthma and respiratory diseases (2 papers), Allergic Rhinitis and Sensitization (2 papers), Sinusitis and nasal conditions (2 papers), Oral microbiology and periodontitis research (2 papers), Head and Neck Surgical Oncology (2 papers) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Developmental Neuroscience (25 citations), Cancer Research (66 citations), Aging (6 citations), Physiology (80 citations) and Molecular Biology (211 citations). Liu Cm has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Rong Wang, C-W Liu, R.G. Dale, Zhuo Yang, Tony Hall, Saijilafu, Tsung‐Lin Yang, H. J. Deeg, A. Kalnitsky and Tien‐Kan Chung. Their work appears in journals such as Human & Experimental Toxicology, Gene Therapy, Cancer Gene Therapy, Cell Death and Disease and Singapore Medical Journal.

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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