Pingfu Fu
Impact in
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- Cancer Research top 1%
Papers in
- Oncology 133
- Cancer Immunotherapy and Biomarkers 33
- Lung Cancer Research Studies 29
- Hematology 44
- Hematopoietic Stem Cell Transplantation 23
- Co-authors
- Sanjay GuptaGregory T. MacLennanSanjeev ShuklaAfshin DowlatiAnant MadabhushiMartin I. ResnickVamsidhar VelchetiMichael Yang
- Journals
- Journal of Clinical Oncology (47 papers)Blood (17 papers)Cancer Research (9 papers)Biology of Blood and Marrow Transplantation (7 papers)Frontiers in Oncology (7 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Pingfu Fu
295 papers receiving 8.1k citations
Peers
Comparison fields: 5 of 151
- Oncology 2.5k
- Cancer Research 1.1k
- Hematology 706
- Pulmonary and Respiratory Medicine 2.0k
- Radiology, Nuclear Medicine and Imaging 1.4k
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 18 | |
| 10 | 2021 | 24 | |
| 11 | 2020 | 42 | |
| 12 | 2019 | 200 | |
| 13 | 2018 | 162 | |
| 14 | 2017 | 12 | |
| 15 | 2014 | 58 | |
| 16 | 2013 | 49 | |
| 17 | 2011 | 59 | |
| 18 | 2008 | 36 | |
| 19 | 2007 | 100 | |
| 20 | 2002 | 1 |
About Pingfu Fu
Pingfu Fu is a scholar working on Oncology, Hematology, Otorhinolaryngology, Genetics and Cancer Research, having authored 319 papers that have together received 8.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (56 papers), Cancer Immunotherapy and Biomarkers (33 papers), Lung Cancer Research Studies (29 papers), Lung Cancer Diagnosis and Treatment (28 papers), Lung Cancer Treatments and Mutations (28 papers), Hematopoietic Stem Cell Transplantation (23 papers), Lymphoma Diagnosis and Treatment (22 papers) and Prostate Cancer Diagnosis and Treatment (22 papers). The work is most often cited by research in Oncology (2.5k citations), Cancer Research (1.1k citations), Hematology (706 citations), Pulmonary and Respiratory Medicine (2.0k citations) and Radiology, Nuclear Medicine and Imaging (1.4k 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, Martin I. Resnick, Vamsidhar Velcheti, Michael Yang, Seunghee Margevicius and Kaustav Bera. Their work appears in journals such as Journal of Clinical Oncology, Blood, Cancer Research, Biology of Blood and Marrow Transplantation and Frontiers in Oncology.
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.