Dongfeng Pan

1.5k total citations
53 papers, 1.2k citations indexed

About

Dongfeng Pan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dongfeng Pan has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dongfeng Pan's work include Nanoplatforms for cancer theranostics (8 papers), Radiopharmaceutical Chemistry and Applications (7 papers) and S100 Proteins and Annexins (7 papers). Dongfeng Pan is often cited by papers focused on Nanoplatforms for cancer theranostics (8 papers), Radiopharmaceutical Chemistry and Applications (7 papers) and S100 Proteins and Annexins (7 papers). Dongfeng Pan collaborates with scholars based in United States, China and South Korea. Dongfeng Pan's co-authors include Boyang Jason Wu, Changhong Shi, Mahendra D. Chordia, Xinlin Yang, Quanjun Cui, Li Xiao, Abhijit S. Dighe, Yi Zhang, Leland W.K. Chung and Stuart S. Berr and has published in prestigious journals such as Diabetes, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Dongfeng Pan

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongfeng Pan United States 20 411 390 239 193 151 53 1.2k
Hisanori Kosuge Japan 25 276 0.7× 460 1.2× 179 0.7× 280 1.5× 127 0.8× 68 1.6k
Jianping Dou China 20 448 1.1× 319 0.8× 141 0.6× 224 1.2× 201 1.3× 61 1.2k
François Fay United States 21 553 1.3× 569 1.5× 156 0.7× 134 0.7× 173 1.1× 39 1.7k
Mark E. Lobatto Netherlands 16 501 1.2× 444 1.1× 249 1.0× 340 1.8× 240 1.6× 24 1.6k
Zhongquan Sun China 17 460 1.1× 360 0.9× 213 0.9× 179 0.9× 295 2.0× 64 1.3k
Marcello Maestri Italy 21 339 0.8× 257 0.7× 244 1.0× 385 2.0× 82 0.5× 77 1.3k
Ming Xu China 23 333 0.8× 248 0.6× 274 1.1× 296 1.5× 77 0.5× 107 1.3k
Mafalda Laranjo Portugal 24 295 0.7× 385 1.0× 346 1.4× 262 1.4× 252 1.7× 104 1.9k
Chenying Lu China 21 339 0.8× 530 1.4× 402 1.7× 86 0.4× 141 0.9× 75 1.3k

Countries citing papers authored by Dongfeng Pan

Since Specialization
Citations

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

Fields of papers citing papers by Dongfeng Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongfeng Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Dongfeng Pan. A scholar is included among the top collaborators of Dongfeng Pan 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 Dongfeng Pan. Dongfeng Pan 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.
Yang, Xiaoyan, et al.. (2025). Advances in diagnostic imaging of the glial lymphatic system in Alzheimer's Disease. Brain Research Bulletin. 227. 111377–111377.
2.
Liu, Zhuo, Ting Pan, Jerry T. Dang, et al.. (2025). Infection prevention and control measures for multidrug-resistant organisms: a systematic review and network meta-analysis. Infection. 53(5). 1789–1800. 1 indexed citations
3.
Hu, Xianwen, et al.. (2024). 18F-FDG PET/CT metabolic parameters can semi-quantitatively evaluate the nature of the heart and pericardial masses: a retrospective study. Scientific Reports. 14(1). 16316–16316. 1 indexed citations
4.
Liu, Zhuo, et al.. (2024). Interaction between ambient CO and temperature or relative humidity on the risk of stroke hospitalization. Scientific Reports. 14(1). 16740–16740.
5.
Meng, Hua, Ting Pan, Dongfeng Pan, et al.. (2024). Females with diabetes have a higher risk of ischemic stroke readmission: a retrospective cohort study. BMC Public Health. 24(1). 2488–2488.
6.
Pan, Dongfeng, et al.. (2023). Dementia increases the risk of death in stroke patients: A retrospective cohort-based risk score model study. Journal of Stroke and Cerebrovascular Diseases. 32(11). 107337–107337. 4 indexed citations
7.
8.
9.
Huang, Qiuju, Guochao Liao, Jingjing Yao, et al.. (2021). Ras inhibitor farnesylthiosalicylic acid conjugated with IR783 dye exhibits improved tumor-targeting and altered anti-breast cancer mechanisms in mice. Acta Pharmacologica Sinica. 43(7). 1843–1856. 7 indexed citations
10.
Chordia, Mahendra D., Michael Spinosa, Gang Su, et al.. (2020). Single-Photon Emission Computed Tomography Imaging Using Formyl Peptide Receptor 1 Ligand Can Diagnose Aortic Aneurysms in a Mouse Model. Journal of Surgical Research. 251. 239–247. 12 indexed citations
11.
Liu, Jilan, et al.. (2019). Amino Acid-Mediated Metabolism: A New Power to Influence Properties of Stem Cells. Stem Cells International. 2019. 1–9. 10 indexed citations
12.
Pan, Dongfeng, Peifeng Liang, & Hongyan Xiao. (2016). Neurofibromatosis type 1 associated with pheochromocytoma and gastrointestinal stromal tumors: A case report and literature review. Oncology Letters. 12(1). 637–643. 16 indexed citations
13.
Tian, Yikui, Dongfeng Pan, Mahendra D. Chordia, et al.. (2016). The spleen contributes importantly to myocardial infarct exacerbation during post-ischemic reperfusion in mice via signaling between cardiac HMGB1 and splenic RAGE. Basic Research in Cardiology. 111(6). 62–62. 40 indexed citations
14.
Yang, Xinlin, et al.. (2016). A review of UHMWPE wear-induced osteolysis: the role for early detection of the immune response. Bone Research. 4(1). 16014–16014. 126 indexed citations
15.
Li, Jie, Yi Zhang, Mahendra D. Chordia, et al.. (2015). Multimodal formyl peptide receptor 1 targeted inflammation imaging probe: cFLFLF-MHI-DOTA. Bioorganic & Medicinal Chemistry Letters. 26(3). 1052–1055. 12 indexed citations
16.
Yang, Xinlin, Mahendra D. Chordia, Yi Zhang, et al.. (2015). Targeting formyl peptide receptor 1 of activated macrophages to monitor inflammation of experimental osteoarthritis in rat. Journal of Orthopaedic Research®. 34(9). 1529–1538. 23 indexed citations
17.
Wu, Hua, Haojun Chen, Dongfeng Pan, et al.. (2014). Imaging Integrin αvβ3 and NRP-1 Positive Gliomas with a Novel Fluorine-18 Labeled RGD-ATWLPPR Heterodimeric Peptide Probe. Molecular Imaging and Biology. 16(6). 781–792. 41 indexed citations
18.
Zhang, Yi, Li Xiao, Mahendra D. Chordia, et al.. (2013). Novel cancer-targeting SPECT/NIRF dual-modality imaging probe 99mTc-PC-1007: Synthesis and biological evaluation. Bioorganic & Medicinal Chemistry Letters. 23(23). 6350–6354. 18 indexed citations
19.
Locke, Landon W., Mahendra D. Chordia, Yi Zhang, et al.. (2009). A Novel Neutrophil-Specific PET Imaging Agent: cFLFLFK-PEG-64Cu. Journal of Nuclear Medicine. 50(5). 790–797. 81 indexed citations
20.
Zhang, Yi, Bijoy Kundu, Karen D. Fairchild, et al.. (2007). Synthesis of novel neutrophil-specific imaging agents for Positron Emission Tomography (PET) imaging. Bioorganic & Medicinal Chemistry Letters. 17(24). 6876–6878. 19 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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