Ming‐Ju Hsieh

2.5k total citations
156 papers, 1.7k citations indexed

About

Ming‐Ju Hsieh is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ming‐Ju Hsieh has authored 156 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Pulmonary and Respiratory Medicine, 69 papers in Surgery and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ming‐Ju Hsieh's work include Lung Cancer Diagnosis and Treatment (53 papers), Tracheal and airway disorders (31 papers) and Pleural and Pulmonary Diseases (27 papers). Ming‐Ju Hsieh is often cited by papers focused on Lung Cancer Diagnosis and Treatment (53 papers), Tracheal and airway disorders (31 papers) and Pleural and Pulmonary Diseases (27 papers). Ming‐Ju Hsieh collaborates with scholars based in Taiwan, United States and Spain. Ming‐Ju Hsieh's co-authors include Yin‐Kai Chao, Yi‐Cheng Wu, Yun‐Hen Liu, Chih-Tsung Wen, Hsin-Yueh Fang, Huiping Liu, Ching‐Feng Wu, Huiping Liu, Po‐Jen Ko and Huiping Liu and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and CHEST Journal.

In The Last Decade

Ming‐Ju Hsieh

143 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Ju Hsieh Taiwan 24 1.1k 857 191 156 100 156 1.7k
Niels F. M. Kok Netherlands 30 978 0.9× 1.4k 1.6× 291 1.5× 211 1.4× 71 0.7× 110 2.3k
Pierre‐Yves Marcy France 24 551 0.5× 848 1.0× 383 2.0× 215 1.4× 64 0.6× 103 1.8k
Douglas J. Minnich United States 27 1.3k 1.2× 732 0.9× 129 0.7× 223 1.4× 34 0.3× 48 2.0k
Benedict D.T. Daly United States 26 1.2k 1.1× 516 0.6× 270 1.4× 326 2.1× 74 0.7× 82 1.9k
Ryan K. Orosco United States 25 444 0.4× 960 1.1× 423 2.2× 148 0.9× 119 1.2× 102 2.0k
Kevin Higgins Canada 29 639 0.6× 1.4k 1.7× 491 2.6× 136 0.9× 159 1.6× 106 2.3k
Hubert John Switzerland 24 1.1k 1.0× 825 1.0× 215 1.1× 406 2.6× 59 0.6× 121 2.4k
Seth D. Goldstein United States 24 386 0.3× 987 1.2× 173 0.9× 133 0.9× 28 0.3× 114 1.7k
Nicholas R. Brook United Kingdom 22 475 0.4× 764 0.9× 110 0.6× 58 0.4× 47 0.5× 60 1.3k
Sebastián Fernández-Bussy United States 26 1.6k 1.5× 536 0.6× 147 0.8× 166 1.1× 128 1.3× 156 1.9k

Countries citing papers authored by Ming‐Ju Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Ju Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Ju Hsieh. 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 Ming‐Ju Hsieh. The network helps show where Ming‐Ju Hsieh may publish in the future.

Co-authorship network of co-authors of Ming‐Ju Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Ju Hsieh. A scholar is included among the top collaborators of Ming‐Ju Hsieh 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 Ming‐Ju Hsieh. Ming‐Ju Hsieh 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.
4.
Chang, Yu‐Ling, et al.. (2024). Development and validation of a delirium care critical‐thinking scale for intensive care unit nurses: A mixed‐method study. Journal of Clinical Nursing. 33(4). 1387–1397. 5 indexed citations
5.
Huang, Chung‐Guei, Ming‐Ju Hsieh, Yi‐Cheng Wu, et al.. (2024). Influence of Donor-Specific Characteristics on Cytokine Responses in H3N2 Influenza A Virus Infection: New Insights from an Ex Vivo Model. International Journal of Molecular Sciences. 25(20). 10941–10941.
6.
Liu, Kuo‐Sheng, Yin‐Kai Chao, Yun‐Hen Liu, et al.. (2023). The impact of surgical learning curve on short-term outcomes after bilateral lung transplantation: results from a multidisciplinary surgical team. European Journal of Cardio-Thoracic Surgery. 64(1). 1 indexed citations
7.
Huang, Chung‐Guei, Yicheng Wu, Ming‐Ju Hsieh, et al.. (2023). Impact of patient characteristics on innate immune responses and inflammasome activation in ex vivo human lung tissues infected with influenza A virus. Frontiers in Cellular and Infection Microbiology. 13. 1269329–1269329. 2 indexed citations
8.
Hsieh, Ming‐Ju, Ching-Yang Wu, Lan‐Yan Yang, et al.. (2023). Comparison of active versus passive robotic-endoscope-holder-assisted unisurgeon uniportal thoracoscopic surgery in terms of surgical efficacy and patient safety. Journal of Thoracic Disease. 15(7). 3800–3810. 3 indexed citations
10.
Chang, Yu‐Ling, et al.. (2022). Self-efficacy of caring for patients in the intensive care unit with delirium: Development and validation of a scale for intensive care unit nurses. Australian Critical Care. 36(4). 449–454. 7 indexed citations
11.
Wu, Ching‐Feng, Ching‐Feng Wu, Jui‐Ying Fu, et al.. (2021). Does catheter material affect functional performance of intravenous ports via the superior vena cava?. PLoS ONE. 16(10). e0253818–e0253818. 3 indexed citations
12.
Wu, Ching‐Feng, Ching‐Feng Wu, Jui‐Ying Fu, et al.. (2021). Long-Term Results of a Standard Algorithm for Intravenous Port Implantation. Journal of Personalized Medicine. 11(5). 344–344. 4 indexed citations
13.
Wu, Ching-Yang, Jui‐Ying Fu, Ching‐Feng Wu, et al.. (2021). Malignancy Prediction Capacity and Possible Prediction Model of Circulating Tumor Cells for Suspicious Pulmonary Lesions. Journal of Personalized Medicine. 11(6). 444–444. 6 indexed citations
14.
Hsieh, Ming‐Ju, et al.. (2018). An Unusual Giant Subepicardial Lipoma: A Case Report. 14(2). 104–108. 1 indexed citations
15.
Wu, Ching‐Feng, Jui‐Ying Fu, Chi‐Ju Yeh, et al.. (2015). Recurrence Risk Factors Analysis for Stage I Non-small Cell Lung Cancer. Medicine. 94(32). e1337–e1337. 45 indexed citations
16.
Fu, Jui‐Ying, Ching‐Feng Wu, Ming‐Ju Hsieh, et al.. (2015). Survival Prediction Model Using Clinico-Pathologic Characteristics for Nonsmall Cell Lung Cancer Patients After Curative Resection. Medicine. 94(45). e2013–e2013. 12 indexed citations
17.
Lin, Tai‐Yuan, Yen Chu, Yi‐Cheng Wu, et al.. (2013). Feasibility of Transumbilical Lung Wedge Resection in a Canine Model. Journal of Laparoendoscopic & Advanced Surgical Techniques. 23(8). 684–692. 8 indexed citations
18.
Hsieh, Ming‐Ju, et al.. (2004). Incidence of incisional recurrence after thoracoscopy. Surgical Endoscopy. 18(3). 540–542. 14 indexed citations
19.
Lin, Pyng Jing, Chau‐Hsiung Chang, Yen Chu, et al.. (1997). Continuous antegrade warm blood cardioplegia attenuates augmented coronary endothelium–dependent contraction after cardiac global ischemia and reperfusion. Journal of Thoracic and Cardiovascular Surgery. 114(1). 100–108. 4 indexed citations
20.
Chiang, Yuan‐Cheng, et al.. (1997). Reconstruction of a Large Thoracoabdominal Wall Defect with a Flow-Through Forearm Flap and a Latissimus Dorsi-Groin Flap. Plastic & Reconstructive Surgery. 100(5). 1240–1244. 10 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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