Peng Ji

1.4k total citations · 2 hit papers
32 papers, 870 citations indexed

About

Peng Ji is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Peng Ji has authored 32 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Peng Ji's work include Cancer Immunotherapy and Biomarkers (5 papers), Cancer Risks and Factors (4 papers) and Global Cancer Incidence and Screening (4 papers). Peng Ji is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Cancer Risks and Factors (4 papers) and Global Cancer Incidence and Screening (4 papers). Peng Ji collaborates with scholars based in China, United States and South Korea. Peng Ji's co-authors include Yue Gong, Xin Hu, Ming‐Liang Jin, Zhi-Ming Shao, Yi‐Rong Liu, Zhi‐Ming Shao, Huailiang Wu, Yu‐Chen Pei, Linwei Guo and Yi‐Zhou Jiang and has published in prestigious journals such as PLoS ONE, Cell Metabolism and Cancer Research.

In The Last Decade

Peng Ji

28 papers receiving 866 citations

Hit Papers

Metabolic-Pathway-Based Subtyping of Triple-Negative Brea... 2020 2026 2022 2024 2020 2022 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Metabolic-Pathway-Based Subtyping of Triple-Negative Breast Cancer Reveals Potential Therapeutic Targets
    2020 296 citations Yue Gong, Peng Ji et al. profile →
  2. Targeting nucleotide metabolism: a promising approach to enhance cancer immunotherapy
    2022 122 citations Huailiang Wu, Yue Gong et al. Journal of Hematology & Oncology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Ji China 11 391 375 349 215 106 32 870
Yuxi Zhu China 17 492 1.3× 304 0.8× 479 1.4× 197 0.9× 73 0.7× 45 965
David James VanderWeele United States 15 485 1.2× 300 0.8× 262 0.8× 355 1.7× 108 1.0× 57 1.0k
Li Yan China 18 393 1.0× 336 0.9× 206 0.6× 178 0.8× 81 0.8× 54 872
Tianyun Qiao China 10 543 1.4× 261 0.7× 416 1.2× 132 0.6× 148 1.4× 17 938
Wanzun Lin China 15 383 1.0× 238 0.6× 239 0.7× 238 1.1× 155 1.5× 42 804
Khadijeh Barzaman Iran 7 384 1.0× 256 0.7× 236 0.7× 134 0.6× 118 1.1× 8 769
Shane O’Grady Ireland 12 611 1.6× 365 1.0× 222 0.6× 125 0.6× 81 0.8× 19 996
Zongjuan Li China 16 384 1.0× 259 0.7× 182 0.5× 189 0.9× 188 1.8× 29 783
Özlem Yersal Türkiye 9 421 1.1× 420 1.1× 338 1.0× 160 0.7× 50 0.5× 15 994
Adam Maciejczyk Poland 17 371 0.9× 380 1.0× 176 0.5× 140 0.7× 126 1.2× 85 915

Countries citing papers authored by Peng Ji

Since Specialization
Citations

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

Fields of papers citing papers by Peng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Ji. A scholar is included among the top collaborators of Peng Ji 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 Peng Ji. Peng Ji 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.
Xiao, Yuling, et al.. (2025). Circadian Rhythm Disruption in Triple‐Negative Breast Cancer: Molecular Insights and Treatment Strategies. Journal of Pineal Research. 77(3). e70042–e70042.
2.
Lv, Fengxia, et al.. (2025). Laxative effect of Zengye granule by modulating the SCF/c-Kit pathway and gut microbiota in constipated mice. Frontiers in Veterinary Science. 12. 1628570–1628570.
3.
4.
Kim, Kwangwook, Xunde Li, D. Bravo, et al.. (2024). Impact of an oligosaccharide-based polymer on the metabolic profiles and microbial ecology of weanling pigs experimentally infected with a pathogenic E. coli. Journal of Animal Science and Biotechnology. 15(1). 1–1. 3 indexed citations
5.
6.
Gong, Yue, Peng Ji, Huailiang Wu, et al.. (2024). Abstract PO1-14-06: Integrated analysis reveals the impact of obesity on triple-negative breast cancer. Cancer Research. 84(9_Supplement). PO1–14.
7.
Wu, Huailiang, Yue Gong, Siyu Wu, et al.. (2024). DHDH-mediated D-xylose metabolism induces immune evasion in triple-negative breast cancer. Med. 6(3). 100535–100535. 1 indexed citations
8.
Ji, Peng, et al.. (2023). Ferroptosis-based drug delivery system as a new therapeutic opportunity for brain tumors. Frontiers in Oncology. 13. 1084289–1084289. 14 indexed citations
9.
Jin, Ming‐Liang, Yue Gong, Peng Ji, Xin Hu, & Zhi‐Ming Shao. (2023). In vivo CRISPR screens identify RhoV as a pro‐metastasis factor of triple‐negative breast cancer. Cancer Science. 114(6). 2375–2385. 6 indexed citations
10.
Wu, Huailiang, et al.. (2022). Targeting nucleotide metabolism: a promising approach to enhance cancer immunotherapy. Journal of Hematology & Oncology. 15(1). 45–45. 122 indexed citations breakdown →
11.
Ji, Peng, et al.. (2022). 23P In vivo multi-dimensional CRISPR screens identify LGALS2 as an immunotherapy target in triple-negative breast cancer. Annals of Oncology. 33. S133–S133. 1 indexed citations
12.
Wang, Ruoxi, Peng Ji, Yue Gong, Zhi‐Ming Shao, & Sheng Chen. (2022). SDF-1 expression and tumor-infiltrating lymphocytes identify clinical subtypes of triple-negative breast cancer with different responses to neoadjuvant chemotherapy and survival. Frontiers in Immunology. 13. 940635–940635. 3 indexed citations
13.
14.
Ji, Peng, Yue Gong, Ming‐Liang Jin, et al.. (2020). The Burden and Trends of Breast Cancer From 1990 to 2017 at the Global, Regional, and National Levels: Results From the Global Burden of Disease Study 2017. Frontiers in Oncology. 10. 650–650. 59 indexed citations
15.
16.
17.
Ji, Peng, Zhiquan Shu, Kui Ma, et al.. (2018). Heat transfer analysis of a self-designed cooling rate controllable device and its application for cryopreservation of biological cells. Applied Thermal Engineering. 148. 768–776. 6 indexed citations
18.
Gong, Yue, Yi‐Rong Liu, Peng Ji, Xin Hu, & Zhi-Ming Shao. (2017). Impact of molecular subtypes on metastatic breast cancer patients: a SEER population-based study. Scientific Reports. 7(1). 45411–45411. 157 indexed citations
19.
Chen, Xiaoliang, Yi Liu, Peng Ji, et al.. (2017). AlncRNA HULC as an effective biomarker for surveillance of the outcome of cancer: A meta-analysis. PLoS ONE. 12(2). e0171210–e0171210. 5 indexed citations
20.
Ji, Peng. (2011). Multilevel Model Analysis on Health Seeking Behavior of Patients with Chronic Diseases in Shenzhen City. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yuxi Zhu Breakdown of academic impact, for papers by David James VanderWeele Breakdown of academic impact, for papers by Li Yan Breakdown of academic impact, for papers by Tianyun Qiao Breakdown of academic impact, for papers by Wanzun Lin Breakdown of academic impact, for papers by Khadijeh Barzaman Breakdown of academic impact, for papers by Shane O’Grady Breakdown of academic impact, for papers by Zongjuan Li Breakdown of academic impact, for papers by Özlem Yersal Breakdown of academic impact, for papers by Adam Maciejczyk
Rankless by CCL
2026