Chung‐Ching Hua

737 total citations
41 papers, 567 citations indexed

About

Chung‐Ching Hua is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Chung‐Ching Hua has authored 41 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 11 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Chung‐Ching Hua's work include Genomics, phytochemicals, and oxidative stress (7 papers), Glutathione Transferases and Polymorphisms (7 papers) and Tuberculosis Research and Epidemiology (5 papers). Chung‐Ching Hua is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (7 papers), Glutathione Transferases and Polymorphisms (7 papers) and Tuberculosis Research and Epidemiology (5 papers). Chung‐Ching Hua collaborates with scholars based in Taiwan and United States. Chung‐Ching Hua's co-authors include Huang-Pin Wu, Liang‐Che Chang, Yu‐Chih Liu, Duen‐Yau Chuang, Chien‐Ming Chu, Chung‐Chieh Yu, Jim‐Ray Chen, Cheng‐Cheng Hwang, Chung‐Wei Fan and Chung-Han Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and CHEST Journal.

In The Last Decade

Chung‐Ching Hua

41 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chung‐Ching Hua Taiwan 15 216 184 125 107 75 41 567
Bangchuan Hu China 16 179 0.8× 139 0.8× 71 0.6× 91 0.9× 86 1.1× 50 718
Ravi Taneja Canada 11 180 0.8× 221 1.2× 250 2.0× 135 1.3× 96 1.3× 26 689
Ana C. P. Souza United States 10 183 0.8× 108 0.6× 148 1.2× 63 0.6× 82 1.1× 12 548
Sabitha Eppanapally United States 4 226 1.0× 154 0.8× 165 1.3× 215 2.0× 71 0.9× 6 573
Stephen W. Standage United States 11 162 0.8× 235 1.3× 111 0.9× 59 0.6× 52 0.7× 20 517
Rachel Dancer United Kingdom 11 104 0.5× 109 0.6× 124 1.0× 287 2.7× 69 0.9× 23 637
Ae-Rin Baek South Korea 13 156 0.7× 124 0.7× 95 0.8× 306 2.9× 60 0.8× 41 613
Rebecca Halbgebauer Germany 13 188 0.9× 129 0.7× 197 1.6× 63 0.6× 101 1.3× 34 640
Jesús Beltrán-García Spain 13 251 1.2× 100 0.5× 115 0.9× 47 0.4× 33 0.4× 23 569

Countries citing papers authored by Chung‐Ching Hua

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Ching Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Ching Hua. 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 Chung‐Ching Hua. The network helps show where Chung‐Ching Hua may publish in the future.

Co-authorship network of co-authors of Chung‐Ching Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Chung‐Ching Hua. A scholar is included among the top collaborators of Chung‐Ching Hua 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 Chung‐Ching Hua. Chung‐Ching Hua 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
2.
Hwang, Cheng‐Cheng, Tsan-Yu Hsieh, Tzu-Ping Chen, et al.. (2022). A rare epidermal growth factor receptor (EGFR) gene mutation in small cell lung carcinoma patients. Biomedical Papers. 166(3). 274–279. 1 indexed citations
3.
Yu, Chung‐Chieh, et al.. (2021). High-flow nasal cannula compared with continuous positive airway pressure in the treatment of obstructive sleep apnea. Sleep And Breathing. 26(2). 549–558. 5 indexed citations
4.
Liu, Yu‐Chih, et al.. (2019). <p>Amino Acid-Based Metabolic Indexes Identify Patients With Chronic Obstructive Pulmonary Disease And Further Discriminates Patients In Advanced BODE Stages</p>. International Journal of COPD. Volume 14. 2257–2266. 16 indexed citations
5.
Chu, Lichieh Julie, Chung‐Wei Fan, Hsin‐I Chang, et al.. (2019). N-acetylgalactosamine-6-sulfatase (GALNS), Similar to Glycodelin, Is a Potential General Biomarker for Multiple Malignancies. Anticancer Research. 39(11). 6317–6324. 4 indexed citations
6.
Hua, Chung‐Ching, et al.. (2019). The cancer control status and APACHE II score are prognostic factors for critically ill patients with cancer and sepsis. Journal of the Formosan Medical Association. 119(1). 276–281. 20 indexed citations
7.
Chang, Liang‐Che, et al.. (2018). The Protein Expression of PDL1 Is Highly Correlated with Those of eIF2α and ATF4 in Lung Cancer. Disease Markers. 2018. 1–9. 15 indexed citations
8.
Hua, Chung‐Ching & Chung‐Chieh Yu. (2017). Detrended Fluctuation Analysis of Oxyhemoglobin Saturation by Pulse Oximetry in Sleep Apnea Syndrome. Journal of Medical and Biological Engineering. 37(6). 791–799. 1 indexed citations
9.
Kuo, Sheng‐Fong, Chung‐Ching Hua, Bie‐Yu Huang, et al.. (2017). Differentiation of the Follicular Variant of Papillary Thyroid Carcinoma From Classic Papillary Thyroid Carcinoma: An Ultrasound Analysis and Complement to Fine‐Needle Aspiration Cytology. Journal of Ultrasound in Medicine. 37(3). 667–674. 9 indexed citations
10.
Chang, Liang‐Che, Chung‐Wei Fan, Tsan-Yu Hsieh, et al.. (2017). The Ratio of Thioredoxin/Keap1 Protein Level is a Predictor of Distant Metastasis in Colorectal Cancer. Biomarkers in Medicine. 11(12). 1103–1111. 8 indexed citations
12.
Chang, Liang‐Che, Chung‐Wei Fan, Tsan-Yu Hsieh, et al.. (2016). The Ratio of Hmox1/Nrf2 mRNA Level in the Tumor Tissue Is a Predictor of Distant Metastasis in Colorectal Cancer. Disease Markers. 2016. 1–6. 19 indexed citations
13.
Chang, Liang‐Che, Chung‐Wei Fan, Tsan-Yu Hsieh, et al.. (2014). IFNAR1 Is a Predictor for Overall Survival in Colorectal Cancer and Its mRNA Expression Correlated With IRF7 But Not TLR9. Medicine. 93(29). e349–e349. 10 indexed citations
14.
Hwang, Cheng‐Cheng, Shin Nieh, Chien-Sheng Tsai, et al.. (2014). A Retrospective Review of the Prognostic Value of ALDH-1, Bmi-1 and Nanog Stem Cell Markers in Esophageal Squamous Cell Carcinoma. PLoS ONE. 9(8). e105676–e105676. 27 indexed citations
15.
Chang, Liang‐Che, et al.. (2013). Elevated circulating levels of tissue factor-positive microvesicles are associated with distant metastasis in lung cancer. Journal of Cancer Research and Clinical Oncology. 140(1). 61–67. 13 indexed citations
16.
Wu, Huang-Pin, et al.. (2011). Serial increase of IL-12 response and human leukocyte antigen-DR expression in severe sepsis survivors. Critical Care. 15(5). R224–R224. 41 indexed citations
17.
Liu, Yu‐Chih, et al.. (2009). Comparing hydrocortisone and methylprednisolone in patients with septic shock. Advances in Therapy. 26(7). 728–735. 5 indexed citations
18.
Wu, Huang-Pin, et al.. (2007). Pneumoconiosis and liver cirrhosis are not risk factors for tuberculosis in patients with pulmonary infection. Respirology. 12(3). 416–419. 14 indexed citations
19.
Wu, Huang-Pin, Chung‐Ching Hua, & Duen‐Yau Chuang. (2006). Decreased in vitro interferon-γ production in patients with cavitary tuberculosis on chest radiography. Respiratory Medicine. 101(1). 48–52. 12 indexed citations
20.
Wu, Huang-Pin, et al.. (2004). The significance of mycobacterium tuberculosis antibody, antigen 60 IgG in patients with abnormal chest radiography.. PubMed. 27(12). 869–76. 9 indexed citations

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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