Changwei Peng

1.0k total citations
17 papers, 480 citations indexed

About

Changwei Peng is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Changwei Peng has authored 17 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Changwei Peng's work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (6 papers). Changwei Peng is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (6 papers). Changwei Peng collaborates with scholars based in United States, China and Australia. Changwei Peng's co-authors include Stephen C. Jameson, Henrique Borges da Silva, Kelsey M. Wanhainen, Sara E. Hamilton, David Masopust, Daniel Walsh, Lalit K. Beura, Haiguang Wang, Nu Zhang and Chaoyu Ma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Changwei Peng

16 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changwei Peng United States 10 370 109 104 50 43 17 480
Katjana Klages Germany 4 360 1.0× 163 1.5× 90 0.9× 111 2.2× 48 1.1× 6 518
Nadine Honke Germany 14 286 0.8× 83 0.8× 150 1.4× 10 0.2× 111 2.6× 24 499
Marco Künzli United States 8 384 1.0× 103 0.9× 134 1.3× 7 0.1× 72 1.7× 11 542
Alexander Lemenze United States 13 277 0.7× 47 0.4× 89 0.9× 6 0.1× 35 0.8× 35 473
Cintia L. Araujo Furlan Argentina 6 253 0.7× 206 1.9× 56 0.5× 70 1.4× 95 2.2× 8 401
Davide Botta United States 7 224 0.6× 55 0.5× 37 0.4× 27 0.5× 24 0.6× 13 309
Ee Shan Pang Australia 5 227 0.6× 52 0.5× 73 0.7× 6 0.1× 23 0.5× 5 291
Kyoo‐A Lee South Korea 11 445 1.2× 139 1.3× 68 0.7× 5 0.1× 80 1.9× 13 521
Neeraja Kulkarni India 8 260 0.7× 72 0.7× 60 0.6× 4 0.1× 54 1.3× 11 379
Marie Tourret France 8 287 0.8× 70 0.6× 79 0.8× 6 0.1× 32 0.7× 9 385

Countries citing papers authored by Changwei Peng

Since Specialization
Citations

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

Fields of papers citing papers by Changwei Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changwei Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Changwei Peng. A scholar is included among the top collaborators of Changwei Peng 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 Changwei Peng. Changwei Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Peng, Changwei, et al.. (2025). Peritumoral venular endothelial cells modulate T cell infiltration into solid tumors 4763. The Journal of Immunology. 214(Supplement_1).
2.
Jarjour, Nicholas N., Nicholas J. Maurice, Kelsey M. Wanhainen, et al.. (2025). Collaboration between interleukin-7 and -15 enables adaptation of tissue-resident and circulating memory CD8+ T cells to cytokine deficiency. Immunity. 58(3). 616–631.e5. 2 indexed citations
3.
Wanhainen, Kelsey M., Angad Beniwal, Changwei Peng, et al.. (2024). The ATP-exporting channel Pannexin 1 promotes CD8+ T cell effector and memory responses. iScience. 27(7). 110290–110290. 9 indexed citations
4.
Lucas, Erin D., et al.. (2024). Circulating KLRG1 + long-lived effector memory T cells retain the flexibility to become tissue resident. Science Immunology. 9(96). eadj8356–eadj8356. 6 indexed citations
5.
Wanhainen, Kelsey M., et al.. (2023). Pannexin-1 channels promotes CD8+ T cell effector and memory responses through distinct metabolic pathways. The Journal of Immunology. 210(Supplement_1). 226.15–226.15. 1 indexed citations
6.
Wanhainen, Kelsey M., Changwei Peng, Stephen D. O’Flanagan, et al.. (2022). P2RX7 Enhances Tumor Control by CD8+ T Cells in Adoptive Cell Therapy. Cancer Immunology Research. 10(7). 871–884. 19 indexed citations
7.
Jarjour, Nicholas N., Kelsey M. Wanhainen, Changwei Peng, et al.. (2022). Responsiveness to interleukin-15 therapy is shared between tissue-resident and circulating memory CD8 + T cell subsets. Proceedings of the National Academy of Sciences. 119(43). e2209021119–e2209021119. 12 indexed citations
8.
Peng, Changwei, et al.. (2022). The Extracellular ATP Receptor P2RX7 Imprints a Promemory Transcriptional Signature in Effector CD8+ T Cells. The Journal of Immunology. 208(7). 1686–1699. 14 indexed citations
9.
Evrard, Maximilien, Erica Wynne-Jones, Changwei Peng, et al.. (2021). Sphingosine 1-phosphate receptor 5 (S1PR5) regulates the peripheral retention of tissue-resident lymphocytes. The Journal of Experimental Medicine. 219(1). 64 indexed citations
10.
Georgiev, Hristo, Changwei Peng, Matthew A. Huggins, Stephen C. Jameson, & Kristin A. Hogquist. (2021). Classical MHC expression by DP thymocytes impairs the selection of non-classical MHC restricted innate-like T cells. Nature Communications. 12(1). 2308–2308. 11 indexed citations
11.
Peng, Changwei, Kelsey M. Wanhainen, Todd P. Knutson, et al.. (2021). Engagement of the costimulatory molecule ICOS in tissues promotes establishment of CD8+ tissue-resident memory T cells. Immunity. 55(1). 98–114.e5. 60 indexed citations
12.
Dai, Haitao, Yuanhua Liu, Zhong Zhang, et al.. (2021). Research on mechanism of miR-130a in regulating autophagy of bladder cancer cells through CYLD.. PubMed. 25(3). 1636–1642. 3 indexed citations
13.
Silva, Henrique Borges da, Changwei Peng, Haiguang Wang, et al.. (2020). Sensing of ATP via the Purinergic Receptor P2RX7 Promotes CD8+ Trm Cell Generation by Enhancing Their Sensitivity to the Cytokine TGF-β. Immunity. 53(1). 158–171.e6. 91 indexed citations
14.
Peng, Changwei & Stephen C. Jameson. (2020). The relationship between CD4+ follicular helper T cells and CD8+ resident memory T cells: sisters or distant cousins?. International Immunology. 32(9). 583–587. 7 indexed citations
15.
Walsh, Daniel, Henrique Borges da Silva, Lalit K. Beura, et al.. (2019). The Functional Requirement for CD69 in Establishment of Resident Memory CD8+ T Cells Varies with Tissue Location. The Journal of Immunology. 203(4). 946–955. 118 indexed citations
16.
Walsh, Daniel, Henrique Borges da Silva, Lalit K. Beura, et al.. (2018). Defining the role of CD69 in the formation of resident memory CD8+ T cells. The Journal of Immunology. 200(Supplement_1). 51.4–51.4. 1 indexed citations
17.
Wang, Shanshan, Yongzhi Chen, Chunfeng Li, et al.. (2016). TRIM14 inhibits hepatitis C virus infection by SPRY domain-dependent targeted degradation of the viral NS5A protein. Scientific Reports. 6(1). 32336–32336. 62 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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