Charles C. Hsu

3.3k total citations
101 papers, 2.3k citations indexed

About

Charles C. Hsu is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Charles C. Hsu has authored 101 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 23 papers in Surgery and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Charles C. Hsu's work include Pancreatic and Hepatic Oncology Research (17 papers), Blind Source Separation Techniques (12 papers) and Image and Signal Denoising Methods (12 papers). Charles C. Hsu is often cited by papers focused on Pancreatic and Hepatic Oncology Research (17 papers), Blind Source Separation Techniques (12 papers) and Image and Signal Denoising Methods (12 papers). Charles C. Hsu collaborates with scholars based in United States, Japan and France. Charles C. Hsu's co-authors include James Chang, Joseph M. Herman, Christopher L. Wolfgang, John L. Cameron, Jordan M. Winter, Harold Szu, Daniel A. Laheru, Richard D. Schulick, Timothy M. Pawlik and Michael J. Swartz and has published in prestigious journals such as The Lancet, JAMA and Journal of Clinical Oncology.

In The Last Decade

Charles C. Hsu

87 papers receiving 2.3k citations

Peers

Charles C. Hsu
S. Meijer Netherlands
Jan Schmidt Germany
William D. Wallace United States
Charles L. Hitchcock United States
Charles C. Hsu
Citations per year, relative to Charles C. Hsu Charles C. Hsu (= 1×) peers Thomas Schmid

Countries citing papers authored by Charles C. Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Charles C. Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles C. Hsu. 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 Charles C. Hsu. The network helps show where Charles C. Hsu may publish in the future.

Co-authorship network of co-authors of Charles C. Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Charles C. Hsu. A scholar is included among the top collaborators of Charles C. Hsu 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 Charles C. Hsu. Charles C. Hsu 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.
Hsu, Charles C., et al.. (2023). An Introductory Approach to Time-Series Data Preparation and Analysis. Annual Conference of the PHM Society. 15(1).
2.
Robbins, Jared R., et al.. (2020). Trends, Disparities and Outcomes of Advanced Radiation Techniques for Small Cell Lung Cancer in the United States from 2004-2016: A National Cancer Database Analysis. International Journal of Radiation Oncology*Biology*Physics. 108(3). e404–e405. 2 indexed citations
3.
Sawyer, Travis W., et al.. (2020). Pilot Study: Texture Analysis of PET Imaging Demonstrates Changes in 18F-FDG Uptake of the Brain After Prophylactic Cranial Irradiation. Journal of Nuclear Medicine Technology. 49(1). 34–38. 1 indexed citations
4.
Jones, Kyle M., et al.. (2017). Imaging Lung Cancer by Using Chemical Exchange Saturation Transfer MRI With Retrospective Respiration Gating. Tomography. 3(4). 201–210. 7 indexed citations
5.
Shiraishi, Yutaka, Penny Fang, Xu Cai, et al.. (2017). Severe lymphopenia during neoadjuvant chemoradiation for esophageal cancer: A propensity matched analysis of the relative risk of proton versus photon-based radiation therapy. Radiotherapy and Oncology. 128(1). 154–160. 115 indexed citations
6.
Davuluri, Rajayogesh, Wen Jiang, Penny Fang, et al.. (2017). Lymphocyte Nadir and Esophageal Cancer Survival Outcomes After Chemoradiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 99(1). 128–135. 190 indexed citations
7.
Jiang, Wen, Rajayogesh Davuluri, Penny Fang, et al.. (2016). Circulating Lymphocyte Count During Neoadjuvant Chemoradiation Therapy for Esophageal Cancer as a Predictive Biomarker of Pathologic Complete Response. International Journal of Radiation Oncology*Biology*Physics. 96(2). S151–S151. 2 indexed citations
8.
Davuluri, Rajayogesh, et al.. (2016). Image guided volumetric response during chemoradiotherapy for head and neck squamous cell carcinoma as a predictor of disease outcomes. American Journal of Otolaryngology. 37(4). 304–310. 2 indexed citations
9.
Fan, Katherine, Avani Satish Dholakia, Aaron T. Wild, et al.. (2014). Baseline Hemoglobin-A1c Impacts Clinical Outcomes in Patients With Pancreatic Cancer. Journal of the National Comprehensive Cancer Network. 12(1). 50–57. 18 indexed citations
10.
Hsu, Charles C., Howard Hsu, Barby Pickett, et al.. (2013). Feasibility of MR Imaging/MR Spectroscopy-Planned Focal Partial Salvage Permanent Prostate Implant (PPI) for Localized Recurrence After Initial PPI for Prostate Cancer. International Journal of Radiation Oncology*Biology*Physics. 85(2). 370–377. 81 indexed citations
11.
Szu, Harold, et al.. (2012). Capturing significant events with neural networks. Neural Networks. 29-30. 1–7. 10 indexed citations
12.
Swartz, Michael J., Charles C. Hsu, Timothy M. Pawlik, et al.. (2009). Adjuvant Chemoradiotherapy After Pancreatic Resection for Invasive Carcinoma Associated With Intraductal Papillary Mucinous Neoplasm of the Pancreas. International Journal of Radiation Oncology*Biology*Physics. 76(3). 839–844. 46 indexed citations
13.
Voong, Khinh Ranh, Jon M. Davison, Timothy M. Pawlik, et al.. (2009). Resected pancreatic adenosquamous carcinoma: clinicopathologic review and evaluation of adjuvant chemotherapy and radiation in 38 patients. Human Pathology. 41(1). 113–122. 68 indexed citations
14.
Hsu, Charles C., Frederick L. Brancati, Brad C. Astor, et al.. (2009). Blood pressure, atherosclerosis, and albuminuria in 10 113 participants in the Atherosclerosis Risk In Communities study. Journal of Hypertension. 27(2). 397–409. 27 indexed citations
15.
Hsu, Charles C., Molly S. Bray, W.H. Linda Kao, et al.. (2006). Genetic Variation of the Renin-Angiotensin System and Chronic Kidney Disease Progression in Black Individuals in the Atherosclerosis Risk in Communities Study. Journal of the American Society of Nephrology. 17(2). 504–512. 47 indexed citations
16.
Brennan, Paul, Charles C. Hsu, Norman Moullan, et al.. (2005). Effect of cruciferous vegetables on lung cancer in patients stratified by genetic status: a mendelian randomisation approach. The Lancet. 366(9496). 1558–1560. 102 indexed citations
17.
Belfort, Rubens, et al.. (2000). Epidemiological Study of 134 Subjects with Allergic Conjunctivitis. Acta Ophthalmologica Scandinavica. 78(s230). 38–40. 29 indexed citations
18.
Hsu, Charles C., et al.. (1998). An ELISA for RNA Helicase Activity: Application as an Assay of the NS3 Helicase of Hepatitis C Virus. Biochemical and Biophysical Research Communications. 253(3). 594–599. 20 indexed citations
19.
Szu, Harold, Charles C. Hsu, & Takeshi Yamakawa. (1998). Progress of Unsupervised Learning of Early Vision.. International Conference on Neural Information Processing. 303–306. 1 indexed citations
20.
Hsu, Charles C., et al.. (1996). Chaotic neuron models and their VLSI circuit implementations. IEEE Transactions on Neural Networks. 7(6). 1339–1350. 24 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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