Cheng Pan

2.1k total citations · 1 hit paper
71 papers, 1.6k citations indexed

About

Cheng Pan is a scholar working on Surgery, Oncology and Hepatology. According to data from OpenAlex, Cheng Pan has authored 71 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 16 papers in Oncology and 14 papers in Hepatology. Recurrent topics in Cheng Pan's work include Organ Transplantation Techniques and Outcomes (15 papers), Immune cells in cancer (13 papers) and Liver Disease and Transplantation (7 papers). Cheng Pan is often cited by papers focused on Organ Transplantation Techniques and Outcomes (15 papers), Immune cells in cancer (13 papers) and Liver Disease and Transplantation (7 papers). Cheng Pan collaborates with scholars based in China, Japan and United States. Cheng Pan's co-authors include Yoshihiro Komohara, Junjie Peng, Renyuan Gao, Yuji Toiyama, Mingming Yin, Ping Wang, Minfeng Liu, Bomin Guo, Yanlei Ma and Huanlong Qin and has published in prestigious journals such as Gastroenterology, Scientific Reports and Environmental Pollution.

In The Last Decade

Cheng Pan

65 papers receiving 1.6k citations

Hit Papers

Fusobacterium nucleatum Increases Proliferation of Colore... 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Pan China 16 727 470 325 305 213 71 1.6k
Renqian Zhong China 26 1.2k 1.7× 369 0.8× 277 0.9× 352 1.2× 417 2.0× 56 3.0k
Sook Hee Hong South Korea 25 648 0.9× 1.0k 2.2× 404 1.2× 232 0.8× 342 1.6× 113 2.2k
Kenya Kamimura Japan 24 755 1.0× 304 0.6× 492 1.5× 141 0.5× 476 2.2× 149 2.0k
Lei Geng China 22 571 0.8× 383 0.8× 340 1.0× 318 1.0× 288 1.4× 80 1.7k
Yotaro Kudo Japan 21 966 1.3× 473 1.0× 265 0.8× 105 0.3× 276 1.3× 37 1.9k
Josef Friedl Austria 18 414 0.6× 424 0.9× 144 0.4× 546 1.8× 192 0.9× 44 1.6k
Meera Mathur India 28 785 1.1× 687 1.5× 439 1.4× 121 0.4× 243 1.1× 102 2.1k
Kohei Hashizume Japan 23 916 1.3× 341 0.7× 974 3.0× 210 0.7× 290 1.4× 107 2.5k
Haoxuan Zheng China 16 446 0.6× 412 0.9× 510 1.6× 71 0.2× 196 0.9× 28 1.4k
Qu Lin China 24 589 0.8× 416 0.9× 196 0.6× 194 0.6× 399 1.9× 95 1.6k

Countries citing papers authored by Cheng Pan

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Pan. A scholar is included among the top collaborators of Cheng 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 Cheng Pan. Cheng 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.
Komohara, Yoshihiro, Hiromu Yano, Cheng Pan, et al.. (2025). Abnormal Vessels Potentially Accelerate Glioblastoma Proliferation by Inducing the Protumor Activation of Macrophages. Cancer Science. 116(4). 897–909. 1 indexed citations
2.
Zhang, Lei, Peng Chen, Cong Zhang, et al.. (2025). Optimizing Mobile-Friendly Viewport Prediction for Live 360-Degree Video Streaming. IEEE Transactions on Mobile Computing. 24(10). 10441–10455.
3.
Fukuda, Ryo, Yukio Fujiwara, Hitoshi Maeda, et al.. (2025). Lymph node macrophage-targeted interferon alpha boosts anticancer immune responses by regulating CD169-positive phenotype of macrophages. Molecular Cancer. 24(1). 132–132. 1 indexed citations
4.
Li, Yu, Zhijun Wang, Cheng Pan, et al.. (2024). Single pulse data collection with an X-ray chopper at in situ room temperature Laue crystallography beamline BL03HB. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1069. 169891–169891.
6.
Li, Lianbo, Yoshihiro Komohara, Eri Matsubara, et al.. (2024). IL-32 production from lung adenocarcinoma cells is potentially involved in immunosuppressive microenvironment. Medical Molecular Morphology. 57(2). 91–100. 1 indexed citations
8.
Pan, Cheng, et al.. (2024). TFAP2A-activated ITGB4 promotes lung adenocarcinoma progression and inhibits CD4+/CD8+ T-cell infiltrations by targeting NF-κB signaling pathway. Translational Lung Cancer Research. 13(9). 2116–2138. 2 indexed citations
9.
Komohara, Yoshihiro, Daisuke Kurotaki, Hirotake Tsukamoto, et al.. (2023). Involvement of protumor macrophages in breast cancer progression and characterization of macrophage phenotypes. Cancer Science. 114(6). 2220–2229. 35 indexed citations
10.
Yamada, Rin, Koji Ohnishi, Cheng Pan, et al.. (2023). Expression of macrophage/dendritic cell–related molecules in lymph node sinus macrophages. Microbiology and Immunology. 67(11). 490–500. 6 indexed citations
11.
Miura, Yuji, Takanobu Motoshima, Hiromu Yano, et al.. (2023). Predictive value of CXCL10 for the occurrence of immune‐related adverse events in patient with renal cell carcinoma. Microbiology and Immunology. 67(7). 345–354. 7 indexed citations
13.
Pan, Cheng, Yukio Fujiwara, Yoshihiro Komohara, et al.. (2023). Dysfunction of sinus macrophages in tumor‐bearing host induces resistance to immunotherapy. Cancer Science. 115(1). 59–69. 6 indexed citations
14.
Yuan, Xin, Li Li, Haofan Liu, et al.. (2022). Strategies for improving adipose-derived stem cells for tissue regeneration. Burns & Trauma. 10. tkac028–tkac028. 30 indexed citations
15.
Shinchi, Yusuke, Shiho Ishizuka, Yoshihiro Komohara, et al.. (2022). The expression of PD-1 ligand 1 on macrophages and its clinical impacts and mechanisms in lung adenocarcinoma. Cancer Immunology Immunotherapy. 71(11). 2645–2661. 38 indexed citations
16.
Li, Wei, Haitao Xiao, Hong Wu, et al.. (2022). Analysis of environmental chemical mixtures and nonalcoholic fatty liver disease: NHANES 1999–2014. Environmental Pollution. 311. 119915–119915. 46 indexed citations
17.
Lou, Peng, Shuyun Liu, Yizhuo Wang, et al.. (2021). Injectable self-assembling peptide nanofiber hydrogel as a bioactive 3D platform to promote chronic wound tissue regeneration. Acta Biomaterialia. 135. 100–112. 48 indexed citations
18.
Ohnishi, Koji, Yukio Fujiwara, Hasita Horlad, et al.. (2017). The cell-cell interaction between tumor-associated macrophages and small cell lung cancer cells is involved in tumor progression via STAT3 activation. Lung Cancer. 106. 22–32. 68 indexed citations
19.
Shen, Zhongyang, Zhi‐Jun Zhu, Li‐Ying Sun, et al.. (2011). Combination of low-dose HBIg and Nucleoside analogues to prevent recurrent hepatitis B virus after liver transplantation: a retrospective analysis of 1506 cases. Zhonghua gan-dan waike zazhi. 17(5). 364–366. 1 indexed citations
20.
Zheng, Hong, et al.. (2010). Feasibility of using a liver infected with Clonorchis sinensis for liver transplantation: Fourteen cases. Liver Transplantation. 16(12). 1440–1442. 6 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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