Panpan Cheng

688 total citations
42 papers, 480 citations indexed

About

Panpan Cheng is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Panpan Cheng has authored 42 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Immunology and 9 papers in Surgery. Recurrent topics in Panpan Cheng's work include Immune Cell Function and Interaction (8 papers), Mesenchymal stem cell research (5 papers) and T-cell and B-cell Immunology (5 papers). Panpan Cheng is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Mesenchymal stem cell research (5 papers) and T-cell and B-cell Immunology (5 papers). Panpan Cheng collaborates with scholars based in China, United States and Hong Kong. Panpan Cheng's co-authors include Xiaoyang Jiao, Mingtai Chen, Fang Jiang, Yingmu Cai, Jing-Hua Lin, Xuehua Wang, Zhongquan Qi, Lulu Liu, Xuehua Wang and Hao Zhang and has published in prestigious journals such as Diabetes, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Panpan Cheng

40 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panpan Cheng China 14 136 116 109 96 86 42 480
Audrey Cleuren United States 10 149 1.1× 193 1.7× 57 0.5× 48 0.5× 125 1.5× 30 545
Mario Berger Germany 12 136 1.0× 56 0.5× 50 0.5× 97 1.0× 46 0.5× 24 569
Sergiu Paşca Romania 15 216 1.6× 166 1.4× 94 0.9× 58 0.6× 86 1.0× 68 591
Μαρία Σαμαρά Greece 13 155 1.1× 154 1.3× 183 1.7× 67 0.7× 28 0.3× 37 544
Mei Guo China 12 95 0.7× 226 1.9× 213 2.0× 84 0.9× 94 1.1× 40 530
Steffen Gräber Germany 8 187 1.4× 82 0.7× 77 0.7× 192 2.0× 53 0.6× 14 847
Rafiou Agoro United States 14 174 1.3× 148 1.3× 98 0.9× 37 0.4× 59 0.7× 24 558
Katherina Psarra Greece 12 105 0.8× 124 1.1× 73 0.7× 31 0.3× 136 1.6× 33 475
Yvonne T.P. Lubbers Netherlands 7 69 0.5× 220 1.9× 150 1.4× 81 0.8× 136 1.6× 8 515
Keiji Matsui Japan 11 213 1.6× 36 0.3× 91 0.8× 140 1.5× 68 0.8× 27 493

Countries citing papers authored by Panpan Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Panpan Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panpan Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Panpan Cheng. A scholar is included among the top collaborators of Panpan Cheng 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 Panpan Cheng. Panpan Cheng 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, Bing, et al.. (2025). Prodrug-based bispecific antibodies for cancer therapy: advances and future directions. Frontiers in Immunology. 16. 1523693–1523693. 8 indexed citations
2.
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4.
Wang, Ruo‐Qian, Yan Wang, Panpan Cheng, et al.. (2024). Analysis of fecal microbiome and metabolome changes in goats with pregnant toxemia. BMC Veterinary Research. 20(1). 2–2. 3 indexed citations
5.
Cheng, Panpan, Ying Liu, Ying Dong, et al.. (2023). Prognostic value of plaque volume combined with CT fractional flow reserve in patients with suspected coronary artery disease. Clinical Radiology. 78(12). e1048–e1056. 4 indexed citations
6.
Li, Yumin, Hongmei Zhou, Panpan Cheng, et al.. (2022). Hypertension Exacerbates Severity and Outcomes of COVID-19 in Elderly Patients: A Retrospective Observational Study. Current Medical Science. 42(3). 561–568. 6 indexed citations
7.
Liu, Lulu, Jingjing Zhang, Xianning Zhang, et al.. (2020). HMGB1: an important regulator of myeloid differentiation and acute myeloid leukemia as well as a promising therapeutic target. Journal of Molecular Medicine. 99(1). 107–118. 21 indexed citations
8.
Wu, Jingfang, et al.. (2019). Nodal increases the malignancy of childhood neuroblastoma cells via regulation of Zeb1. BioFactors. 45(3). 355–363. 3 indexed citations
9.
Zhang, Guorong, Quanquan Wang, Yan Song, et al.. (2019). Intravenous immunoglobulin promotes the proliferation of CD4+CD25+ Foxp3+ regulatory T cells and the cytokines secretion in patients with Guillain-Barré syndrome in vitro. Journal of Neuroimmunology. 336. 577042–577042. 14 indexed citations
10.
Chen, Mingtai, et al.. (2018). Induction of Human Adipose-Derived Mesenchymal Stem Cells into Germ Lineage Using Retinoic Acid. Cellular Reprogramming. 20(2). 127–134. 8 indexed citations
11.
Yang, Yonghong, Cuiling Wang, Panpan Cheng, et al.. (2018). CD180 Ligation Inhibits TLR7- and TLR9-Mediated Activation of Macrophages and Dendritic Cells Through the Lyn-SHP-1/2 Axis in Murine Lupus. Frontiers in Immunology. 9. 2643–2643. 26 indexed citations
12.
Dong, Guanjun, Xiaoying Yao, Fenglian Yan, et al.. (2018). Ligation of CD180 contributes to endotoxic shock by regulating the accumulation and immunosuppressive activity of myeloid-derived suppressor cells through STAT3. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(3). 535–546. 11 indexed citations
13.
Liu, Lulu, et al.. (2017). miR-301b~miR-130b—PPARγ axis underlies the adipogenic capacity of mesenchymal stem cells with different tissue origins. Scientific Reports. 7(1). 1160–1160. 33 indexed citations
14.
Tao, Yanling, et al.. (2016). Fever and arthralgia as the initial symptoms of primary bone marrow diffuse large B-cell lymphoma: A case report. Oncology Letters. 11(5). 3428–3432. 4 indexed citations
15.
Cheng, Panpan, Pengfei Ma, Chang Gao, et al.. (2015). iPSC-MSCs Combined with Low-Dose Rapamycin Induced Islet Allograft Tolerance Through Suppressing Th1 and Enhancing Regulatory T-Cell Differentiation. Stem Cells and Development. 24(15). 1793–1804. 28 indexed citations
16.
Wang, Yuzhong, Xungang Feng, Qian Wang, et al.. (2015). Increased plasmacytoid dendritic cells in Guillain–Barré syndrome. Journal of Neuroimmunology. 283. 1–6. 6 indexed citations
17.
Dong, Haixin, et al.. (2013). Therapeutic effect of Halofuginone on ITP mice by regulating the differentiation of Th cell subsets. International Immunopharmacology. 18(2). 213–216. 5 indexed citations
18.
Cheng, Panpan, Zhenzhen Sun, Fang Jiang, Yueting Tang, & Xiaoyang Jiao. (2011). Hepcidin expression in patients with acute leukaemia. European Journal of Clinical Investigation. 42(5). 517–525. 15 indexed citations
19.
Chen, Jibing, Wei Shao, Feiyu Wang, et al.. (2011). Xenoreactive CD4+ memory T cells resist inhibition by anti‐CD44 mAb and reject islet grafts via a Th2‐dependent pathway. Xenotransplantation. 18(4). 252–261. 10 indexed citations
20.
Cheng, Panpan, Xiaoyang Jiao, Xuehua Wang, Jing-Hua Lin, & Yingmu Cai. (2010). Hepcidin expression in anemia of chronic disease and concomitant iron-deficiency anemia. Clinical and Experimental Medicine. 11(1). 33–42. 48 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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