Chien‐Ling Huang

1.3k total citations
51 papers, 1.0k citations indexed

About

Chien‐Ling Huang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chien‐Ling Huang has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chien‐Ling Huang's work include Cell Adhesion Molecules Research (6 papers), Platelet Disorders and Treatments (5 papers) and COVID-19 Clinical Research Studies (4 papers). Chien‐Ling Huang is often cited by papers focused on Cell Adhesion Molecules Research (6 papers), Platelet Disorders and Treatments (5 papers) and COVID-19 Clinical Research Studies (4 papers). Chien‐Ling Huang collaborates with scholars based in Taiwan, Hong Kong and United States. Chien‐Ling Huang's co-authors include Ching‐Ping Tseng, Ju-Chien Cheng, Shea Ping Yip, Noel M. Caplice, Arnold Stern, Shy-Shin Chang, Jer‐Tsong Hsieh, Yi-Chih Chang, Chi‐Chien Kuo and Elizebeth C. Turner and has published in prestigious journals such as Journal of Biological Chemistry, Biomaterials and Cancer Research.

In The Last Decade

Chien‐Ling Huang

50 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chien‐Ling Huang Taiwan 21 511 172 104 101 97 51 1.0k
Verônica Morandi Brazil 22 588 1.2× 174 1.0× 59 0.6× 92 0.9× 72 0.7× 46 1.4k
Kathryn A. Skelding Australia 19 679 1.3× 177 1.0× 49 0.5× 45 0.4× 69 0.7× 34 1.2k
Petra Schulz Germany 20 391 0.8× 110 0.6× 79 0.8× 109 1.1× 58 0.6× 66 1.3k
Siyuan Chen China 23 797 1.6× 245 1.4× 30 0.3× 54 0.5× 78 0.8× 122 1.6k
Alexandra Flemming United States 16 526 1.0× 125 0.7× 87 0.8× 115 1.1× 57 0.6× 177 1.3k
Cheng‐Yu Tsai United States 17 758 1.5× 90 0.5× 59 0.6× 80 0.8× 102 1.1× 52 1.6k
Hideshi Yoshikawa Japan 23 813 1.6× 90 0.5× 104 1.0× 80 0.8× 79 0.8× 49 1.7k
Péter Kósa United States 26 832 1.6× 118 0.7× 154 1.5× 221 2.2× 47 0.5× 58 1.9k
Xinhui Zhang China 13 266 0.5× 89 0.5× 35 0.3× 148 1.5× 54 0.6× 49 853
Seiichiro Takahashi Japan 15 388 0.8× 152 0.9× 35 0.3× 54 0.5× 38 0.4× 41 1.0k

Countries citing papers authored by Chien‐Ling Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Ling Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Ling Huang. 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 Chien‐Ling Huang. The network helps show where Chien‐Ling Huang may publish in the future.

Co-authorship network of co-authors of Chien‐Ling Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Ling Huang. A scholar is included among the top collaborators of Chien‐Ling Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chien‐Ling Huang. Chien‐Ling Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Di, et al.. (2025). Micro-Texture Optimization for Titanium Cutting Tools via Simulation. International Journal of Simulation Modelling. 24(2). 333–344.
2.
Gedefaw, Lealem, et al.. (2023). Artificial Intelligence-Assisted Diagnostic Cytology and Genomic Testing for Hematologic Disorders. Cells. 12(13). 1755–1755. 33 indexed citations
3.
Chang, Ching-Wen, Yu‐Cheng Lin, Lu‐Te Chuang, et al.. (2023). Pyruvate Kinase Differentially Alters Metabolic Signatures during Head and Neck Carcinogenesis. International Journal of Molecular Sciences. 24(23). 16639–16639. 3 indexed citations
4.
5.
Ipe, Deepak S., Andrei Greșiță, Stephen Hamlet, et al.. (2023). Medication‐related osteonecrosis of the jaw: A disease of significant importance for older patients. Journal of the American Geriatrics Society. 71(8). 2640–2652. 6 indexed citations
6.
Huang, Zhiwei, Kassahun Haile, Lealem Gedefaw, et al.. (2023). Blood Biomarkers as Prognostic Indicators for Neurological Injury in COVID-19 Patients: A Systematic Review and Meta-Analysis. International Journal of Molecular Sciences. 24(21). 15738–15738. 6 indexed citations
7.
Chu, Li-Wei, Chia‐Yin Lee, Chien‐Ling Huang, et al.. (2022). Virofree, an Herbal Medicine-Based Formula, Interrupts the Viral Infection of Delta and Omicron Variants of SARS-CoV-2. Frontiers in Pharmacology. 13. 905197–905197. 11 indexed citations
8.
Luo, Shumeng, Jiahong Sun, Wenfei Jin, et al.. (2021). The Tyrosine Kinase-Driven Networks of Novel Long Non-coding RNAs and Their Molecular Targets in Myeloproliferative Neoplasms. Frontiers in Cell and Developmental Biology. 9. 643043–643043. 5 indexed citations
9.
Li, Wan‐Chun, et al.. (2020). Vascular Tissue Engineering: Advanced Techniques and Gene Editing in Stem Cells for Graft Generation. Tissue Engineering Part B Reviews. 27(1). 14–28. 23 indexed citations
10.
Liu, Chung‐Ji, et al.. (2020). Regulatory Role of Hexokinase 2 in Modulating Head and Neck Tumorigenesis. Frontiers in Oncology. 10. 176–176. 26 indexed citations
11.
Leung, Kim Hung, et al.. (2019). The myopia susceptibility locus vasoactive intestinal peptide receptor 2 (VIPR2) contains variants with opposite effects. Scientific Reports. 9(1). 18165–18165. 11 indexed citations
12.
Huang, Chien‐Ling, et al.. (2018). Long non-coding RNAs in hematological malignancies: translating basic techniques into diagnostic and therapeutic strategies. Journal of Hematology & Oncology. 11(1). 131–131. 40 indexed citations
13.
Xu, Lu, et al.. (2018). Long Non-Coding RNAs in Obesity-Induced Cancer. Non-Coding RNA. 4(3). 19–19. 22 indexed citations
14.
Martin, Kenneth, Chien‐Ling Huang, & Noel M. Caplice. (2014). Regenerative Approaches to Post-Myocardial Infarction Heart Failure. Current Pharmaceutical Design. 20(12). 1930–1940. 8 indexed citations
15.
Turner, Elizebeth C., et al.. (2013). Identification of a Klf4-dependent upstream repressor region mediating transcriptional regulation of the myocardin gene in human smooth muscle cells. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1829(11). 1191–1201. 30 indexed citations
16.
Huang, Chien‐Ling, et al.. (2012). The endocytic adaptor protein Disabled-2 is required for cellular uptake of fibrinogen. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(10). 1778–1788. 14 indexed citations
17.
Kuo, Chi‐Chien, et al.. (2010). Variation within and among host species in engorgement of larval trombiculid mites. Parasitology. 138(3). 344–353. 8 indexed citations
18.
19.
Tseng, Ching‐Ping, Ching‐Ping Tseng, Chien‐Ling Huang, et al.. (2003). Disabled‐2 small interfering RNA modulates cellular adhesive function and MAPK activity during megakaryocytic differentiation of K562 cells. FEBS Letters. 541(1-3). 21–27. 61 indexed citations
20.

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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