Pingfu Fu

11.6k total citations
319 papers, 8.2k citations indexed

About

Pingfu Fu is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pingfu Fu has authored 319 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Oncology, 97 papers in Pulmonary and Respiratory Medicine and 69 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pingfu Fu's work include Radiomics and Machine Learning in Medical Imaging (56 papers), Cancer Immunotherapy and Biomarkers (33 papers) and Lung Cancer Research Studies (29 papers). Pingfu Fu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (56 papers), Cancer Immunotherapy and Biomarkers (33 papers) and Lung Cancer Research Studies (29 papers). Pingfu Fu collaborates with scholars based in United States, China and Hong Kong. Pingfu Fu's co-authors include Sanjay Gupta, Gregory T. MacLennan, Sanjeev Shukla, Afshin Dowlati, Anant Madabhushi, Martin I. Resnick, Vamsidhar Velcheti, Michael Yang, Seunghee Margevicius and Kaustav Bera and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Pingfu Fu

295 papers receiving 8.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pingfu Fu United States 50 2.5k 2.4k 2.0k 1.4k 1.1k 319 8.2k
Alwin D. R. Huitema Netherlands 56 4.3k 1.7× 2.9k 1.2× 2.0k 1.0× 793 0.6× 790 0.7× 552 12.9k
André L. Moreira United States 53 2.8k 1.1× 2.7k 1.1× 3.9k 2.0× 1.8k 1.3× 1.8k 1.6× 185 11.6k
David S. Mendelson United States 41 2.0k 0.8× 2.5k 1.0× 2.0k 1.0× 1.1k 0.8× 652 0.6× 188 7.1k
William D. Figg United States 52 3.1k 1.2× 4.6k 1.9× 3.8k 1.9× 1.1k 0.8× 2.4k 2.2× 234 10.3k
Hironobu Minami Japan 45 4.5k 1.8× 2.7k 1.1× 1.7k 0.9× 544 0.4× 834 0.8× 366 9.2k
Wei Chen China 47 2.4k 1.0× 3.6k 1.5× 1.3k 0.7× 540 0.4× 1.6k 1.4× 272 8.2k
Daniel P. Normolle United States 59 3.4k 1.4× 2.9k 1.2× 3.0k 1.5× 1.7k 1.3× 1.5k 1.4× 201 12.7k
Alicia Samuels United States 8 4.7k 1.9× 3.4k 1.4× 3.5k 1.8× 810 0.6× 1.6k 1.4× 8 11.4k
Gaetano De Rosa Italy 46 3.0k 1.2× 2.7k 1.1× 1.4k 0.7× 484 0.4× 1.0k 0.9× 349 8.9k
Chaan S. Ng United States 46 2.9k 1.2× 2.8k 1.2× 2.3k 1.1× 1.4k 1.0× 1.3k 1.2× 189 8.7k

Countries citing papers authored by Pingfu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Pingfu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pingfu Fu. 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 Pingfu Fu. The network helps show where Pingfu Fu may publish in the future.

Co-authorship network of co-authors of Pingfu Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Pingfu Fu. A scholar is included among the top collaborators of Pingfu Fu 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 Pingfu Fu. Pingfu Fu 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.
Fu, Pingfu, et al.. (2024). Machine Vision–Detected Peritumoral Lymphocytic Aggregates Are Associated With Disease-Free Survival in Patients With Papillary Thyroid Carcinoma. Laboratory Investigation. 104(12). 102168–102168. 2 indexed citations
3.
Joseph, Peronne, et al.. (2024). Comprehensive analysis of the value of dynamic changes in ctDNA in SCLC.. Journal of Clinical Oncology. 42(16_suppl). 8107–8107.
5.
Mangla, Ankit, Luke D. Rothermel, Shahrazad Saab, et al.. (2024). Neoadjuvant pazopanib with radiation therapy in patients with localized sarcoma: Experience from a sarcoma center.. Journal of Clinical Oncology. 42(16_suppl). e23555–e23555. 1 indexed citations
6.
Wang, Jiasheng, Amin Firoozmand, Pingfu Fu, et al.. (2023). Phase I study of intra-osseous co-transplantation of a single-unit cord blood and mesenchymal stromal cells with reduced intensity conditioning regimens. Frontiers in Oncology. 13. 1186532–1186532. 2 indexed citations
7.
Qing, Yulan, Ricky Chan, Pingfu Fu, et al.. (2023). Impact of age, antiretroviral therapy, and cancer on epigenetic aging in people living with HIV. Cancer Medicine. 12(9). 11010–11019. 4 indexed citations
8.
Stabellini, Nickolas, Paul G. Pavicic, Pingfu Fu, et al.. (2023). Phase II Clinical Trial of Pembrolizumab and Chemotherapy Reveals Distinct Transcriptomic Profiles by Radiologic Response in Metastatic Triple-Negative Breast Cancer. Clinical Cancer Research. 30(1). 82–93. 8 indexed citations
9.
Wildey, Gary, Karen McColl, Mohammad A. Shatat, et al.. (2022). Retinoblastoma Expression and Targeting by CDK4/6 Inhibitors in Small Cell Lung Cancer. Molecular Cancer Therapeutics. 22(2). 264–273. 18 indexed citations
10.
Braman, Nathaniel, Prateek Prasanna, Kaustav Bera, et al.. (2022). Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. Clinical Cancer Research. 28(20). 4410–4424. 19 indexed citations
11.
Khorrami, Mohammadhadi, Kaustav Bera, Rajat Thawani, et al.. (2021). Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans. European Journal of Cancer. 148. 146–158. 24 indexed citations
12.
Bhargava, Hersh K., Patrick Leo, Robin Elliott, et al.. (2020). Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients. Clinical Cancer Research. 26(8). 1915–1923. 42 indexed citations
13.
Khorrami, Mohammadhadi, Prateek Prasanna, Amit Gupta, et al.. (2019). Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer. Cancer Immunology Research. 8(1). 108–119. 200 indexed citations
14.
Corredor, Germán, Xiangxue Wang, Yu Zhou, et al.. (2018). Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non–Small Cell Lung Cancer. Clinical Cancer Research. 25(5). 1526–1534. 162 indexed citations
15.
Babcook, Melissa A., Sanjeev Shukla, Pingfu Fu, et al.. (2014). Synergistic Simvastatin and Metformin Combination Chemotherapy for Osseous Metastatic Castration-Resistant Prostate Cancer. Molecular Cancer Therapeutics. 13(10). 2288–2302. 58 indexed citations
16.
Weeks, Lachelle D., Pingfu Fu, & Stanton L. Gerson. (2013). Uracil–DNA Glycosylase Expression Determines Human Lung Cancer Cell Sensitivity to Pemetrexed. Molecular Cancer Therapeutics. 12(10). 2248–2260. 49 indexed citations
17.
Fan, Weiwen, Zhe Tang, Lihong Yin, et al.. (2011). MET-Independent Lung Cancer Cells Evading EGFR Kinase Inhibitors Are Therapeutically Susceptible to BH3 Mimetic Agents. Cancer Research. 71(13). 4494–4505. 59 indexed citations
18.
Huang, Guosheng, Rosana Eisenberg, Min Yan, et al.. (2008). 15-Hydroxyprostaglandin Dehydrogenase is a Target of Hepatocyte Nuclear Factor 3β and a Tumor Suppressor in Lung Cancer. Cancer Research. 68(13). 5040–5048. 36 indexed citations
19.
Shukla, Sanjeev, Gregory T. MacLennan, Chris A. Flask, et al.. (2007). Blockade of β-Catenin Signaling by Plant Flavonoid Apigenin Suppresses Prostate Carcinogenesis in TRAMP Mice. Cancer Research. 67(14). 6925–6935. 100 indexed citations
20.
Fu, Pingfu, J. Sunil Rao, & Jiming Jiang. (2002). Robust Estimation Of Multivariate Failure Data With Time-Modulated Frailty. Journal of Modern Applied Statistical Methods. 1(2). 367–378. 1 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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