Qingqing Pan

1.8k total citations
70 papers, 1.1k citations indexed

About

Qingqing Pan is a scholar working on Oncology, Epidemiology and Rheumatology. According to data from OpenAlex, Qingqing Pan has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 16 papers in Epidemiology and 16 papers in Rheumatology. Recurrent topics in Qingqing Pan's work include Peptidase Inhibition and Analysis (21 papers), Neuroendocrine Tumor Research Advances (14 papers) and Lymphoma Diagnosis and Treatment (11 papers). Qingqing Pan is often cited by papers focused on Peptidase Inhibition and Analysis (21 papers), Neuroendocrine Tumor Research Advances (14 papers) and Lymphoma Diagnosis and Treatment (11 papers). Qingqing Pan collaborates with scholars based in China, United States and Austria. Qingqing Pan's co-authors include Yaping Luo, Wen Zhang, Xinxin Cao, Huaxia Yang, Li J, Fang Li, Wen Zhang, Linyi Peng, Zhaohui Zhu and Fang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Radiology.

In The Last Decade

Qingqing Pan

65 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingqing Pan China 19 662 386 269 242 160 70 1.1k
Yaping Luo China 17 700 1.1× 378 1.0× 238 0.9× 302 1.2× 163 1.0× 81 1.1k
Yoshiaki Imamura Japan 20 495 0.7× 445 1.2× 83 0.3× 242 1.0× 194 1.2× 157 1.4k
Andres A. Roma United States 24 345 0.5× 477 1.2× 266 1.0× 435 1.8× 58 0.4× 85 1.7k
Federica Recine Italy 19 657 1.0× 246 0.6× 204 0.8× 97 0.4× 65 0.4× 57 1.2k
Shigenori Nagata Japan 16 475 0.7× 317 0.8× 155 0.6× 182 0.8× 75 0.5× 68 857
Chiara Liverani Italy 23 727 1.1× 120 0.3× 198 0.7× 190 0.8× 72 0.5× 78 1.4k
Elia Guadagno Italy 20 284 0.4× 253 0.7× 132 0.5× 379 1.6× 94 0.6× 74 1.1k
Judith Huart France 19 461 0.7× 735 1.9× 397 1.5× 217 0.9× 187 1.2× 24 1.6k
Raluca Yonescu United States 20 724 1.1× 671 1.7× 349 1.3× 179 0.7× 46 0.3× 39 1.6k
Vishwa Jeet Amatya Japan 26 280 0.4× 261 0.7× 182 0.7× 333 1.4× 289 1.8× 99 1.8k

Countries citing papers authored by Qingqing Pan

Since Specialization
Citations

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

Fields of papers citing papers by Qingqing Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingqing Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Qingqing Pan. A scholar is included among the top collaborators of Qingqing 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 Qingqing Pan. Qingqing 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.
Wang, Xiuxiu, et al.. (2025). Targeted nanozyme-enabled treatment of cardiovascular diseases. SHILAP Revista de lepidopterología. 4(1). 2 indexed citations
2.
Zhang, Xinru, Bo Sun, Huan Zhang, et al.. (2025). A Novel Fluorescent Sensor for Fe3+ Based on a Quinoline Derivative. Molecules. 30(7). 1579–1579.
3.
Li, Jiao, Xiao Li, Qingqing Pan, et al.. (2025). Cadmium MOF-Based Varied {Cd2} Clusters as Multifunctional Fluorescence Sensors to Detect Fe3+, Cr2O72–, TNP, and NFT. Langmuir. 41(12). 8270–8278. 3 indexed citations
4.
Yang, Dan, Ziyue Zhou, Qingqing Pan, et al.. (2025). Comparisons of [68 Ga]Ga-FAPI-04 PET/CT with X-ray imaging in the assessment of patients with rheumatoid arthritis. Clinical Rheumatology. 44(6). 2191–2199.
5.
Pan, Qingqing, J. Zhang, Zhenlin Fan, et al.. (2025). Biphasic biomimetic scaffolds based on a regionally decalcified bone framework and pre-chondrogenic microspheres for osteochondral defect repair. Materials Today Bio. 31. 101494–101494. 5 indexed citations
6.
Yang, Fan, Qingqing Pan, Rui Zhang, et al.. (2024). 68Ga-FAPI and 18F-NaF PET/CT in psoriatic arthritis: a comparative study. Lara D. Veeken. 64(5). 2575–2582. 2 indexed citations
7.
Yang, Yongyi, Rong Liu, Li Yang, et al.. (2024). Double-alternating injectable multifunctional hydrogel based on chitosan for skin wound repair. International Journal of Biological Macromolecules. 287. 138413–138413. 1 indexed citations
8.
Huo, Yingying, Qingqing Pan, Yujie Chen, et al.. (2023). Instant trachea reconstruction using 3D-bioprinted C-shape biomimetic trachea based on tissue-specific matrix hydrogels. Bioactive Materials. 32. 52–65. 25 indexed citations
9.
Liu, Rong, Dan Wang, Qingqing Pan, et al.. (2023). Golden Buckwheat Extract–Loaded Injectable Hydrogel for Efficient Postsurgical Prevention of Local Tumor Recurrence Caused by Residual Tumor Cells. Molecules. 28(14). 5447–5447. 7 indexed citations
10.
Zhang, Hongzhe, Qingqing Pan, & Yaping Luo. (2023). Prominent 68Ga-FAPI Uptake in Renal Parenchyma Caused by Immunoglobulin G4–Related Nephropathy. Clinical Nuclear Medicine. 48(5). 463–465. 9 indexed citations
11.
Pan, Qingqing, Xinxin Cao, Yaping Luo, Li J, & Fang Li. (2021). Semi-quantitative measurements of chemokine receptor 4-targeted 68Ga-pentixafor PET/CT in response assessment of Waldenström macroglobulinemia/lymphoplasmacytic lymphoma. EJNMMI Research. 11(1). 110–110. 8 indexed citations
12.
Ding, Jie, Yushi Zhang, Jin Wen, et al.. (2020). Imaging CXCR4 expression in patients with suspected primary hyperaldosteronism. European Journal of Nuclear Medicine and Molecular Imaging. 47(11). 2656–2665. 59 indexed citations
13.
Luo, Yaping, Ying Zhang, Qingqing Pan, Yan Zhang, & Fang Li. (2020). 18F-FDG PET/computed tomography may predict the outcome of newly diagnosed indolent non-Hodgkin lymphoma in patients managed with initial ‘watch-and-wait’ approach. Nuclear Medicine Communications. 41(12). 1283–1290. 3 indexed citations
14.
Pan, Qingqing, Yaping Luo, Yan Zhang, et al.. (2020). Preliminary evidence of imaging of chemokine receptor-4-targeted PET/CT with [68Ga]pentixafor in non-Hodgkin lymphoma: comparison to [18F]FDG. EJNMMI Research. 10(1). 89–89. 21 indexed citations
15.
Luo, Yaping, Xinxin Cao, Qingqing Pan, et al.. (2019). 68Ga-Pentixafor PET/CT for Imaging of Chemokine Receptor 4 Expression in Waldenström Macroglobulinemia/Lymphoplasmacytic Lymphoma: Comparison to 18F-FDG PET/CT. Journal of Nuclear Medicine. 60(12). 1724–1729. 44 indexed citations
16.
Pan, Qingqing. (2018). Incidental multicenter paragangliomas accompanied with cervical cancer: a case report. 38(3). 208–209. 1 indexed citations
17.
Luo, Yaping, Ling Wang, Qingqing Pan, Yanru Ma, & Fang Li. (2018). Unicentric Castleman’s Disease Revealed by 18F-FDG PET/CT and Somatostatin Receptor Scintigraphy With 99mTc-HYNIC-TOC. Clinical Nuclear Medicine. 43(7). 551–552. 9 indexed citations
18.
Luo, Yaping, Qingqing Pan, & Shaobo Yao. (2017). 68Ga-exendin-4 PET/CT for the localization of insulinomas. 37(3). 137–141.
19.
Zhang, Zhiqiao, Qin Long, Zhikun Yang, et al.. (2015). Sirolimus for Retinal Astrocytic Hamartoma Associated with Tuberous Sclerosis Complex. Ophthalmology. 122(9). 1947–1949. 23 indexed citations
20.
Pan, Qingqing, Li J, Fang Li, Daobin Zhou, & Zhaohui Zhu. (2015). Characterizing POEMS Syndrome with 18F-FDG PET/CT. Journal of Nuclear Medicine. 56(9). 1334–1337. 31 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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