Fang‐I Chu

1.4k total citations
34 papers, 683 citations indexed

About

Fang‐I Chu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Fang‐I Chu has authored 34 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pulmonary and Respiratory Medicine and 12 papers in Radiation. Recurrent topics in Fang‐I Chu's work include Advanced Radiotherapy Techniques (12 papers), Prostate Cancer Treatment and Research (8 papers) and Medical Imaging Techniques and Applications (4 papers). Fang‐I Chu is often cited by papers focused on Advanced Radiotherapy Techniques (12 papers), Prostate Cancer Treatment and Research (8 papers) and Medical Imaging Techniques and Applications (4 papers). Fang‐I Chu collaborates with scholars based in United States, United Kingdom and Japan. Fang‐I Chu's co-authors include Michael L. Steinberg, Nicholas G. Nickols, Ken Herrmann, Johannes Czernin, Wolfgang P. Fendler, Dan Ruan, Ann C. Raldow, Matthias Eiber, Jérémie Calais and Minsong Cao and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Fang‐I Chu

32 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang‐I Chu United States 11 442 322 119 103 67 34 683
Luca Valle United States 12 371 0.8× 138 0.4× 168 1.4× 72 0.7× 61 0.9× 64 564
Harvey Quon Canada 17 629 1.4× 181 0.6× 431 3.6× 97 0.9× 93 1.4× 67 884
Daniel Taussky Canada 19 860 1.9× 214 0.7× 460 3.9× 228 2.2× 325 4.9× 133 1.3k
Nelly Tan United States 19 990 2.2× 500 1.6× 31 0.3× 74 0.7× 162 2.4× 64 1.4k
Timothy A. Lin United States 12 118 0.3× 113 0.4× 39 0.3× 131 1.3× 84 1.3× 60 561
Tobias Hölscher Germany 18 524 1.2× 378 1.2× 223 1.9× 109 1.1× 85 1.3× 55 836
Daniel Y. Song United States 13 518 1.2× 263 0.8× 153 1.3× 195 1.9× 105 1.6× 86 729
Mads Hvid Poulsen Denmark 16 499 1.1× 369 1.1× 21 0.2× 162 1.6× 87 1.3× 52 767
B. Avuzzi Italy 13 281 0.6× 217 0.7× 125 1.1× 114 1.1× 151 2.3× 47 553
Sarah A. Mattonen Canada 13 457 1.0× 796 2.5× 81 0.7× 138 1.3× 81 1.2× 36 963

Countries citing papers authored by Fang‐I Chu

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐I Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang‐I Chu. 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 Fang‐I Chu. The network helps show where Fang‐I Chu may publish in the future.

Co-authorship network of co-authors of Fang‐I Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Fang‐I Chu. A scholar is included among the top collaborators of Fang‐I Chu 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 Fang‐I Chu. Fang‐I Chu 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.
Yan, Ran, et al.. (2024). Quantitative assessment of background parenchymal enhancement is associated with lifetime breast cancer risk in screening MRI. European Radiology. 34(10). 6358–6368. 2 indexed citations
2.
Wang, Zitian, Fang‐I Chu, Victoria Yu, et al.. (2023). Predicting Overall Survival for Patients with Malignant Mesothelioma Following Radiotherapy via Interpretable Machine Learning. Cancers. 15(15). 3916–3916. 4 indexed citations
3.
4.
Martin, Ting, Wanxing Chai‐Ho, Abie H. Mendelsohn, et al.. (2023). High Recurrence for HPV-Positive Oropharyngeal Cancer With Neoadjuvant Radiation Therapy to Gross Disease Plus Immunotherapy: Analysis From a Prospective Phase Ib/II Clinical Trial. International Journal of Radiation Oncology*Biology*Physics. 117(2). 348–354. 14 indexed citations
5.
Valle, Luca, Fang‐I Chu, Marc A. Smith, et al.. (2022). Characterizing Twitter Influencers in Radiation Oncology. Advances in Radiation Oncology. 7(6). 100919–100919. 4 indexed citations
6.
7.
Chu, Fang‐I & Lyne Racette. (2021). Characterizing and quantifying the temporal relationship between structural and functional change in glaucoma. PLoS ONE. 16(4). e0249212–e0249212.
8.
Chu, Fang‐I, Nzhde Agazaryan, Minsong Cao, et al.. (2021). Dosimetric Quality of Online Adapted Pancreatic Cancer Treatment Plans on an MRI-Guided Radiation Therapy System. Advances in Radiation Oncology. 6(3). 100682–100682. 3 indexed citations
9.
Wu, Trudy C., Amar U. Kishan, Ann C. Raldow, et al.. (2021). Ablative radiotherapy for liver tumors using stereotactic MRI-guidance: A prospective phase I trial. Radiotherapy and Oncology. 170. 14–20. 28 indexed citations
10.
Bakoyannis, Giorgos, Fang‐I Chu, Abdel G. Babiker, & Giota Touloumi. (2021). Impact of covariate omission and categorization from the Fine–Gray model in randomized-controlled trials. Japanese Journal of Statistics and Data Science. 4(2). 983–997. 3 indexed citations
11.
Kalbasi, Anusha, Mitchell Kamrava, Fang‐I Chu, et al.. (2020). A Phase II Trial of 5-Day Neoadjuvant Radiotherapy for Patients with High-Risk Primary Soft Tissue Sarcoma. Clinical Cancer Research. 26(8). 1829–1836. 77 indexed citations
12.
Chu, Fang‐I, et al.. (2020). SCHOOL LITERACY MOVEMENT AND ITS IMPLICATIONS TOWARDS STUDENTS LEARNING: A COMPARATIVE CASE STUDY IN JAKARTA AND TAIWAN. 8 indexed citations
13.
Wang, Chenyang, Amar U. Kishan, James B. Yu, et al.. (2019). Association between Long-Term Second Malignancy Risk and Radiation: A Comprehensive Analysis of the Entire Surveillance, Epidemiology, and End Results Database (1973-2014). Advances in Radiation Oncology. 4(4). 738–747. 6 indexed citations
14.
15.
Yuan, Ye, Nima Aghdam, Christopher R. King, et al.. (2019). Testosterone Levels and Sexual Quality of Life After Stereotactic Body Radiation Therapy for Prostate Cancer: A Multi-Institutional Analysis of Prospective Trials. International Journal of Radiation Oncology*Biology*Physics. 105(1). 149–154. 9 indexed citations
16.
Wang, Chenyang, Ann C. Raldow, Nicholas G. Nickols, et al.. (2019). Underutilization of Androgen Deprivation Therapy with External Beam Radiotherapy in Men with High-grade Prostate Cancer. European Urology Oncology. 4(2). 327–330. 3 indexed citations
17.
Qi, X. Sharon, Percy Lee, D O’Connell, et al.. (2019). Fast, Low-Dose Megavoltage-Topogram Localization on TomoTherapy: Initial Clinical Experience With Mesothelioma Patients. Practical Radiation Oncology. 9(5). 373–380. 2 indexed citations
18.
Chu, Fang‐I, et al.. (2018). Associations between structure and function are different in healthy and glaucomatous eyes. PLoS ONE. 13(5). e0196814–e0196814. 13 indexed citations
19.
Calais, Jérémie, Wolfgang P. Fendler, Matthias Eiber, et al.. (2017). Impact of 68Ga-PSMA-11 PET/CT on the Management of Prostate Cancer Patients with Biochemical Recurrence. Journal of Nuclear Medicine. 59(3). 434–441. 118 indexed citations
20.
Calais, Jérémie, Johannes Czernin, Minsong Cao, et al.. (2017). 68Ga-PSMA-11 PET/CT Mapping of Prostate Cancer Biochemical Recurrence After Radical Prostatectomy in 270 Patients with a PSA Level of Less Than 1.0 ng/mL: Impact on Salvage Radiotherapy Planning. Journal of Nuclear Medicine. 59(2). 230–237. 199 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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