Yi-Hsi Wang

942 total citations
36 papers, 730 citations indexed

About

Yi-Hsi Wang is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Oncology. According to data from OpenAlex, Yi-Hsi Wang has authored 36 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 15 papers in Epidemiology and 12 papers in Oncology. Recurrent topics in Yi-Hsi Wang's work include Sepsis Diagnosis and Treatment (8 papers), Tuberculosis Research and Epidemiology (7 papers) and Lung Cancer Treatments and Mutations (6 papers). Yi-Hsi Wang is often cited by papers focused on Sepsis Diagnosis and Treatment (8 papers), Tuberculosis Research and Epidemiology (7 papers) and Lung Cancer Treatments and Mutations (6 papers). Yi-Hsi Wang collaborates with scholars based in Taiwan, China and United States. Yi-Hsi Wang's co-authors include Meng‐Chih Lin, Tung-Ying Chao, Chin‐Chou Wang, Wen‐Feng Fang, Kuo‐Tung Huang, Yung‐Che Chen, Yu‐Hsiu Chung, Yu‐Mu Chen, Chien-Hao Lie and Shih‐Feng Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yi-Hsi Wang

35 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi-Hsi Wang Taiwan 17 273 196 158 131 125 36 730
Amy Huang United States 11 155 0.6× 179 0.9× 78 0.5× 127 1.0× 123 1.0× 20 683
Saurabh Mittal India 16 380 1.4× 91 0.5× 130 0.8× 99 0.8× 122 1.0× 119 880
Yu Hara Japan 13 315 1.2× 158 0.8× 76 0.5× 103 0.8× 110 0.9× 94 599
Joo Han Song South Korea 16 254 0.9× 210 1.1× 104 0.7× 134 1.0× 245 2.0× 40 916
Matt S. Zinter United States 14 318 1.2× 243 1.2× 67 0.4× 80 0.6× 58 0.5× 50 718
Francesco Fortarezza Italy 15 374 1.4× 120 0.6× 423 2.7× 157 1.2× 158 1.3× 63 986
Jun Sasaki Japan 16 129 0.5× 154 0.8× 93 0.6× 78 0.6× 102 0.8× 54 723
Yuichi J. Shimada United States 23 313 1.1× 276 1.4× 82 0.5× 62 0.5× 217 1.7× 86 1.7k
Jan Cato Holter Norway 13 76 0.3× 241 1.2× 160 1.0× 166 1.3× 89 0.7× 30 713
Zhiwei Lu China 15 283 1.0× 210 1.1× 37 0.2× 73 0.6× 135 1.1× 53 718

Countries citing papers authored by Yi-Hsi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Hsi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Hsi Wang. 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 Yi-Hsi Wang. The network helps show where Yi-Hsi Wang may publish in the future.

Co-authorship network of co-authors of Yi-Hsi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Hsi Wang. A scholar is included among the top collaborators of Yi-Hsi Wang 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 Yi-Hsi Wang. Yi-Hsi Wang 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.
Lu, Hung‐I, et al.. (2024). A case report of drug interaction between co-packaged nirmatrelvir-ritonavir and tacrolimus causing hyponatremia in a lung transplant recipient. Journal of Cardiothoracic Surgery. 19(1). 132–132. 2 indexed citations
2.
3.
Fang, Wen‐Feng, Yu‐Mu Chen, Ya-Chun Chang, et al.. (2020). Risk factors and associated outcomes of ventilator-associated events developed in 28 days among sepsis patients admitted to intensive care unit. Scientific Reports. 10(1). 12702–12702. 17 indexed citations
4.
Chen, Yung‐Che, Chang‐Chun Hsiao, Chao‐Chien Wu, et al.. (2020). Blood M2a monocyte polarization and increased formyl peptide receptor 1 expression are associated with progression from latent tuberculosis infection to active pulmonary tuberculosis disease. International Journal of Infectious Diseases. 101. 210–219. 8 indexed citations
5.
Fang, Wen‐Feng, Yu‐Mu Chen, Ya-Chun Chang, et al.. (2019). Application of dynamic pulse pressure and vasopressor tools for predicting outcomes in patients with sepsis in intensive care units. Journal of Critical Care. 52. 156–162. 11 indexed citations
6.
7.
Fang, Wen‐Feng, Yu‐Mu Chen, Yi-Hsi Wang, et al.. (2019). Incorporation of dynamic segmented neutrophil-to-monocyte ratio with leukocyte count for sepsis risk stratification. Scientific Reports. 9(1). 19756–19756. 80 indexed citations
8.
Chang, Ya-Chun, Kuo‐Tung Huang, Yu‐Mu Chen, et al.. (2018). Ventilator Dependence Risk Score for the Prediction of Prolonged Mechanical Ventilation in Patients Who Survive Sepsis/Septic Shock with Respiratory Failure. Scientific Reports. 8(1). 5650–5650. 21 indexed citations
9.
10.
Chen, Yu‐Mu, Kun‐Ming Rau, Cheng-Hua Huang, et al.. (2016). A Survival Scoring System for Non-Small Cell Lung Cancer Patients with De Novo Bone Metastases. PLoS ONE. 11(12). e0167923–e0167923. 3 indexed citations
11.
Chen, Yu‐Mu, Kun‐Ming Rau, Cheng-Hua Huang, et al.. (2016). Advanced non-Small cell lung cancer patients at the extremes of age in the era of epidermal growth factor receptor tyrosine kinase inhibitors. Lung Cancer. 98. 99–105. 13 indexed citations
12.
13.
Wang, Chin‐Chou, Chia-Cheng Tseng, Chang‐Chun Hsiao, et al.. (2014). Circulating Endothelial-Derived Activated Microparticle: A Useful Biomarker for Predicting One-Year Mortality in Patients with Advanced Non-Small Cell Lung Cancer. BioMed Research International. 2014. 1–11. 36 indexed citations
14.
Chen, Yung‐Che, Chang‐Chun Hsiao, Chung‐Jen Chen, et al.. (2014). Aberrant Toll-like receptor 2 promoter methylation in blood cells from patients with pulmonary tuberculosis. Journal of Infection. 69(6). 546–557. 33 indexed citations
15.
Liaw, Mei‐Yun, et al.. (2011). Inspiratory muscle training in bronchiectasis patients: a prospective randomized controlled study. Clinical Rehabilitation. 25(6). 524–536. 33 indexed citations
16.
Chen, Yung‐Che, Chang‐Chun Hsiao, Chung‐Jen Chen, et al.. (2010). Toll-like receptor 2 gene polymorphisms, pulmonary tuberculosis, and natural killer cell counts. BMC Medical Genetics. 11(1). 17–17. 62 indexed citations
17.
Chen, Yung‐Che, Shih‐Feng Liu, Chien‐Hung Chin, et al.. (2010). Association of Tumor Necrosis Factor-α-863C/A Gene Polymorphism with Chronic Obstructive Pulmonary Disease. Lung. 188(4). 339–347. 21 indexed citations
18.
Wang, Yi-Hsi, Hwee‐Yeong Ng, Wen‐Chin Lee, et al.. (2009). Successful Treatment of Bilateral Emphysematous Pyelonephritis in a Uremic Patient without Nephrectomy. Renal Failure. 31(2). 167–170. 5 indexed citations
19.
Lie, Chien-Hao, et al.. (2008). New Image Characteristics in Endobronchial Ultrasonography for Differentiating Peripheral Pulmonary Lesions. Ultrasound in Medicine & Biology. 35(3). 376–381. 14 indexed citations
20.
Chao, Tung-Ying, et al.. (2006). Differentiating Peripheral Pulmonary Lesions Based on Images of Endobronchial Ultrasonography. CHEST Journal. 130(4). 1191–1197. 41 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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