Pingfu Fu

11.8k citations
328 papers · 8.4k · h-index 51

Impact in

Papers in

    • Lung Cancer Research Studies 21
    • Cancer Immunotherapy and Biomarkers 20
    • Lung Cancer Treatments and Mutations 21
    • Prostate Cancer Diagnosis and Treatment 20
    • Lung Cancer Diagnosis and Treatment 15

Pingfu Fu

303 papers receiving 8.3k citations

Peers

Pingfu Fu
Comparison fields: 5 of 148
  • Oncology 2.0k
  • Cancer Research 864
  • Hematology 626
  • Health Informatics 72
  • Radiology, Nuclear Medicine and Imaging 1.1k
Replace André L. Moreira with:
André L. Moreira United States
Peter Boor Germany
David S. Mendelson United States
Erwin P. Böttinger United States
Caj Haglund Finland
Valérie Paradis France
Francesco Paolo Schena Italy
Matthias Kretzler United States
Fiorella Guadagni Italy
Julie K. Heimbach United States
Pingfu Fu relative to André L. Moreira United States André L. Moreira's profile →
Citations per field
00.5×1.5×
André L. Moreira · 1×
Citations per year

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-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.

Border = papers with Pingfu Fu Line = papers co-authored together Pingfu Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 328 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007261
2 2003227
3 2010215
4 2019208
5 2004182
6 2018170
7 2012169
8 2011168
9 2013162
10 2009153
11 2004147
12 2009126
13 2010125
14 2006124
15 2013120
16 2002117
17 2017115
18 2000108
19 2008107
20 2013106

About Pingfu Fu

Pingfu Fu is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Hematology, having authored 328 papers that have together received 8.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (46 papers), Hematopoietic Stem Cell Transplantation (22 papers), Lung Cancer Treatments and Mutations (21 papers), Lung Cancer Research Studies (21 papers), Cancer Immunotherapy and Biomarkers (20 papers), Prostate Cancer Diagnosis and Treatment (20 papers), Lymphoma Diagnosis and Treatment (17 papers) and Lung Cancer Diagnosis and Treatment (15 papers). The work is most often cited by research in Oncology (2.0k citations), Cancer Research (864 citations), Hematology (626 citations), Health Informatics (72 citations) and Radiology, Nuclear Medicine and Imaging (1.1k 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, Kaustav Bera and Seunghee Margevicius. Their work appears in journals such as Journal of Clinical Oncology, Blood, Cancer Research, Clinical Cancer Research and Biology of Blood and Marrow Transplantation.

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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