Pingfu Fu
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
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- Radiomics and Machine Learning in Medical Imaging
Papers in
- Hematology 31
- Hematopoietic Stem Cell Transplantation 20
- Multiple Myeloma Research and Treatments 8
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- Radiomics and Machine Learning in Medical Imaging 24
- Co-authors
- Sanjay Gupta (27 shared papers)Gregory T. MacLennan (23 shared papers)Sanjeev Shukla (12 shared papers)Afshin Dowlati (53 shared papers)Anant Madabhushi (58 shared papers)Vamsidhar Velcheti (17 shared papers)Martin I. Resnick (7 shared papers)Michael Yang (12 shared papers)
- Journals
- Transplantation and Cellular Therapy (9 papers)Clinical Cancer Research (9 papers)Blood (9 papers)Journal of Clinical Oncology (7 papers)International Journal of Radiation Oncology*Biology*Physics (7 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Pingfu Fu
278 papers receiving 9.1k citations
Peers
Comparison fields: 5 of 112
- Hematology 619
- Radiology, Nuclear Medicine and Imaging 861
- Oncology 810
- Endocrinology, Diabetes and Metabolism 518
- Pharmacology 390
Countries citing papers authored by Pingfu Fu
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
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-authors
The 25 scholars most cited alongside Pingfu Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 293 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 270 | |
| 2 | 2003 | 252 | |
| 3 | 2010 | 228 | |
| 4 | 2019 | 226 | |
| 5 | 2018 | 203 | |
| 6 | 2011 | 193 | |
| 7 | 2004 | 186 | |
| 8 | 2012 | 182 | |
| 9 | 2013 | 173 | |
| 10 | 2009 | 164 | |
| 11 | 2004 | 157 | |
| 12 | 2017 | 134 | |
| 13 | 2010 | 130 | |
| 14 | 2013 | 130 | |
| 15 | 2006 | 127 | |
| 16 | 2011 | 124 | |
| 17 | 2009 | 123 | |
| 18 | 2002 | 121 | |
| 19 | 2008 | 119 | |
| 20 | 2020 | 115 |
About Pingfu Fu
Pingfu Fu is a scholar working on Hematology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology and Pharmacology, having authored 293 papers that have together received 9.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (24 papers), Hematopoietic Stem Cell Transplantation (20 papers), AI in cancer detection (14 papers), Prostate Cancer Diagnosis and Treatment (11 papers), Lung Cancer Treatments and Mutations (10 papers), Lung Cancer Research Studies (9 papers), Multiple Myeloma Research and Treatments (8 papers) and Head and Neck Cancer Studies (7 papers). The work is most often cited by research in Hematology (619 citations), Radiology, Nuclear Medicine and Imaging (861 citations), Oncology (810 citations), Endocrinology, Diabetes and Metabolism (518 citations) and Pharmacology (390 citations). Pingfu Fu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Sanjay Gupta, Gregory T. MacLennan, Sanjeev Shukla, Afshin Dowlati, Anant Madabhushi, Vamsidhar Velcheti, Martin I. Resnick, Michael Yang, Kaustav Bera and Seunghee Park Margevicius. Their work appears in journals such as Transplantation and Cellular Therapy, Clinical Cancer Research, Blood, Journal of Clinical Oncology and International Journal of Radiation Oncology*Biology*Physics.
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.