Sandi A. Kwee

2.6k total citations
58 papers, 2.0k citations indexed

About

Sandi A. Kwee is a scholar working on Hepatology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sandi A. Kwee has authored 58 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hepatology, 18 papers in Pulmonary and Respiratory Medicine and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sandi A. Kwee's work include Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Liver Disease Diagnosis and Treatment (14 papers) and Prostate Cancer Treatment and Research (12 papers). Sandi A. Kwee is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Liver Disease Diagnosis and Treatment (14 papers) and Prostate Cancer Treatment and Research (12 papers). Sandi A. Kwee collaborates with scholars based in United States, China and Hong Kong. Sandi A. Kwee's co-authors include Marc N. Coel, Linda L. Wong, Mark A. Mintun, John A. Sweeney, J. R. Carl, Devin L. Brown, David R. Rosenberg, Brenda Y. Hernandez, Maarit Tiirikainen and Wei Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Sandi A. Kwee

58 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandi A. Kwee United States 22 558 550 412 340 325 58 2.0k
Josep M. Martí‐Climent Spain 25 282 0.5× 742 1.3× 310 0.8× 123 0.4× 267 0.8× 76 1.9k
Martin Büchert Germany 21 356 0.6× 427 0.8× 170 0.4× 92 0.3× 679 2.1× 44 2.0k
Michail Plotkin Germany 29 571 1.0× 979 1.8× 137 0.3× 283 0.8× 145 0.4× 77 2.4k
Kyosan Yoshikawa Japan 21 908 1.6× 810 1.5× 88 0.2× 80 0.2× 137 0.4× 46 1.9k
Jörg Marienhagen Germany 24 164 0.3× 242 0.4× 304 0.7× 147 0.4× 509 1.6× 65 2.2k
Galia Tsarfaty Israel 23 206 0.4× 254 0.5× 125 0.3× 83 0.2× 497 1.5× 60 1.7k
Tatjana Traub‐Weidinger Austria 26 224 0.4× 693 1.3× 187 0.5× 346 1.0× 232 0.7× 90 1.9k
Hans‐Jürgen Biersack Germany 29 470 0.8× 985 1.8× 100 0.2× 1.3k 3.7× 187 0.6× 81 2.7k
Jeffrey P. Leal United States 19 354 0.6× 1.1k 2.0× 251 0.6× 101 0.3× 130 0.4× 51 1.8k
Jeffrey Steinberg United States 14 149 0.3× 252 0.5× 162 0.4× 60 0.2× 362 1.1× 29 1.4k

Countries citing papers authored by Sandi A. Kwee

Since Specialization
Citations

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

Fields of papers citing papers by Sandi A. Kwee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandi A. Kwee. 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 Sandi A. Kwee. The network helps show where Sandi A. Kwee may publish in the future.

Co-authorship network of co-authors of Sandi A. Kwee

This figure shows the co-authorship network connecting the top 25 collaborators of Sandi A. Kwee. A scholar is included among the top collaborators of Sandi A. Kwee 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 Sandi A. Kwee. Sandi A. Kwee 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.
Kwee, Sandi A., Linda L. Wong, Christina Ludema, et al.. (2023). Target Trial Emulation: A Design Tool for Cancer Clinical Trials. JCO Clinical Cancer Informatics. 7(7). e2200140–e2200140. 8 indexed citations
2.
Rho, Young Soo, Ian Pagano, Linda L. Wong, Sandi A. Kwee, & Jared D. Acoba. (2020). Factors and Survival Implications associated with biopsy of hepatocellular carcinoma. HPB. 23(7). 1054–1060. 1 indexed citations
3.
Kwee, Sandi A., Maarit Tiirikainen, Jared D. Acoba, et al.. (2019). Transcriptomics Associates Molecular Features with 18F-Fluorocholine PET/CT Imaging Phenotype and Its Potential Relationship to Survival in Hepatocellular Carcinoma. Cancer Research. 79(7). 1696–1704. 11 indexed citations
4.
Jiang, Runqiu, Xiaojiao Zheng, Sha Lei, et al.. (2019). Ursodeoxycholic acid accelerates bile acid enterohepatic circulation. British Journal of Pharmacology. 176(16). 2848–2863. 65 indexed citations
5.
Wong, Linda L., et al.. (2019). Underlying liver disease and advanced stage liver cancer are associated with elevated neutrophil-lymphocyte ratio. Clinical and Molecular Hepatology. 25(3). 305–316. 30 indexed citations
6.
7.
Wei, Runmin, Jingye Wang, Xiaoning Wang, et al.. (2018). Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning. EBioMedicine. 35. 124–132. 71 indexed citations
8.
9.
Kwee, Sandi A., et al.. (2017). Soft Tissue Response on 18F-Fluorocholine PET/CT in Metastatic Castrate-Resistant Prostate Cancer Treated With 223Ra-Dichloride. Clinical Nuclear Medicine. 42(11). 868–871. 13 indexed citations
10.
Nation, J. B., Maarit Tiirikainen, Brenda Y. Hernandez, et al.. (2016). Joint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancer. BioData Mining. 9(1). 24–24. 8 indexed citations
11.
12.
Kwee, Sandi A., et al.. (2015). Volumetric Modulated Arc Therapy Planning for Primary Prostate Cancer With Selective Intraprostatic Boost Determined by 18F-Choline PET/CT. International Journal of Radiation Oncology*Biology*Physics. 91(5). 1017–1025. 21 indexed citations
13.
Kwee, Sandi A., Brenda Y. Hernandez, Owen Chan, & Linda L. Wong. (2012). Choline Kinase Alpha and Hexokinase-2 Protein Expression in Hepatocellular Carcinoma: Association with Survival. PLoS ONE. 7(10). e46591–e46591. 91 indexed citations
14.
Kwee, Sandi A., Min‐Ae Song, Iona Cheng, Lenora W. M. Loo, & Maarit Tiirikainen. (2012). Measurement of Circulating Cell‐Free DNA in Relation to 18F‐Fluorocholine PET/CT Imaging in Chemotherapy‐Treated Advanced Prostate Cancer. Clinical and Translational Science. 5(1). 65–70. 48 indexed citations
15.
Kwee, Sandi A., et al.. (2012). Detection of recurrent prostate cancer with 18F-fluorocholine PET/CT in relation to PSA level at the time of imaging. Annals of Nuclear Medicine. 26(6). 501–507. 32 indexed citations
16.
Brown, Joel D. & Sandi A. Kwee. (2010). Pararenal Splenosis Encountered During the Evaluation of a Suspected Pheochromocytoma. The American Journal of the Medical Sciences. 340(5). 424–426. 1 indexed citations
17.
Kwee, Sandi A., et al.. (2009). 18F-choline PET/CT imaging of RECIST measurable lesions in hormone refractory prostate cancer. Annals of Nuclear Medicine. 23(6). 541–548. 13 indexed citations
18.
Kwee, Sandi A., Timothy R. DeGrado, Jean‐Noël Talbot, Fabrice Gutman, & Marc N. Coel. (2007). Cancer Imaging With Fluorine-18–Labeled Choline Derivatives. Seminars in Nuclear Medicine. 37(6). 420–428. 86 indexed citations
19.
Kwee, Sandi A., et al.. (2007). Solitary Brain Lesions Enhancing at MR Imaging: Evaluation with Fluorine 18–Fluorocholine PET. Radiology. 244(2). 557–565. 64 indexed citations
20.
Kwee, Sandi A., et al.. (2004). Combined Use of F-18 Fluorocholine Positron Emission Tomography and Magnetic Resonance Spectroscopy for Brain Tumor Evaluation. Journal of Neuroimaging. 14(3). 285–289. 5 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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