Jianhong Peng

1.9k total citations · 2 hit papers
95 papers, 1.2k citations indexed

About

Jianhong Peng is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jianhong Peng has authored 95 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Oncology, 33 papers in Surgery and 30 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jianhong Peng's work include Colorectal Cancer Surgical Treatments (26 papers), Gastric Cancer Management and Outcomes (25 papers) and Colorectal Cancer Treatments and Studies (23 papers). Jianhong Peng is often cited by papers focused on Colorectal Cancer Surgical Treatments (26 papers), Gastric Cancer Management and Outcomes (25 papers) and Colorectal Cancer Treatments and Studies (23 papers). Jianhong Peng collaborates with scholars based in China, United States and Hong Kong. Jianhong Peng's co-authors include Zhizhong Pan, Zhenhai Lu, Junzhong Lin, Xiaojun Wu, Qingjian Ou, Yujing Fang, Desen Wan, Weihao Li, Yuxiang Deng and Zhenlin Hou and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Jianhong Peng

88 papers receiving 1.2k citations

Hit Papers

Tumor-derived lactate promotes resistance to bevacizumab ... 2023 2026 2024 2025 2023 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianhong Peng China 18 559 420 352 263 236 95 1.2k
Zhenhai Lu China 18 554 1.0× 398 0.9× 273 0.8× 237 0.9× 197 0.8× 55 1.1k
Ingrid Garajová Italy 19 503 0.9× 404 1.0× 359 1.0× 203 0.8× 218 0.9× 82 1.0k
Satoshi Matsusaka Japan 23 814 1.5× 298 0.7× 334 0.9× 262 1.0× 371 1.6× 133 1.5k
Weijian Guo China 15 589 1.1× 304 0.7× 170 0.5× 262 1.0× 572 2.4× 72 1.4k
Klaus J. Schmitz Germany 22 401 0.7× 514 1.2× 297 0.8× 425 1.6× 261 1.1× 51 1.4k
Koichi Okamoto Japan 20 360 0.6× 342 0.8× 156 0.4× 193 0.7× 170 0.7× 86 927
Mikio Kawamura Japan 21 501 0.9× 400 1.0× 333 0.9× 224 0.9× 138 0.6× 64 1.2k
Yuichiro Yokoyama Japan 15 287 0.5× 348 0.8× 152 0.4× 250 1.0× 95 0.4× 89 937

Countries citing papers authored by Jianhong Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jianhong Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianhong Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Jianhong Peng. A scholar is included among the top collaborators of Jianhong 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 Jianhong Peng. Jianhong Peng 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.
Zeng, Ziyang, Jian Zhou, Jianhong Peng, et al.. (2025). Impact of body composition on pathological response to neoadjuvant immunotherapy in dMMR/MSI-H colorectal cancer. Frontiers in Immunology. 16. 1589869–1589869.
2.
Li, Yuan, Cheng Feng, Hao Wang, et al.. (2024). An evaluation model of hepatic steatosis based on CT value and serum uric acid/HDL cholesterol ratio can predict intrahepatic recurrence of colorectal cancer liver metastasis. International Journal of Clinical Oncology. 29(9). 1263–1273. 2 indexed citations
3.
Li, Wenxin, Xianrui Wu, Sijing Cheng, et al.. (2024). Mutant KRAS-activated circATXN7 fosters tumor immunoescape by sensitizing tumor-specific T cells to activation-induced cell death. Nature Communications. 15(1). 499–499. 62 indexed citations breakdown →
5.
Li, Weihao, Jiayu Wang, Xiaojun Wu, et al.. (2024). MCT4 is an independent prognostic factor and affects immune cell infiltration in patients with colorectal liver oligometastases. Clinical & Translational Oncology. 27(4). 1681–1694. 1 indexed citations
7.
Yang, Jingxin, Mengying Fu, Qiang Tian, et al.. (2023). Preparation of Gd2Zr2O7 nanoceramics by flash sintering and two-step flash sintering. Ceramics International. 49(11). 16594–16602. 13 indexed citations
8.
Li, Weihao, Chi Zhou, Long Yu, et al.. (2023). Tumor-derived lactate promotes resistance to bevacizumab treatment by facilitating autophagy enhancer protein RUBCNL expression through histone H3 lysine 18 lactylation (H3K18la) in colorectal cancer. Autophagy. 20(1). 114–130. 240 indexed citations breakdown →
9.
Zhang, Yaping, Dawei Wang, Weidao Chen, et al.. (2023). An MRI‐based machine learning radiomics can predict short‐term response to neoadjuvant chemotherapy in patients with cervical squamous cell carcinoma: A multicenter study. Cancer Medicine. 12(19). 19383–19393. 3 indexed citations
10.
Wang, Mengyan, et al.. (2023). Magnesium intake and all-cause mortality after stroke: a cohort study. Nutrition Journal. 22(1). 54–54. 6 indexed citations
11.
12.
Xu, Yanbo, Weihao Li, Weili Zhang, et al.. (2022). The Pathologic Complete Response Ratio of Liver Metastases Represents a Valuable Prognostic Indicator. Pathology & Oncology Research. 28. 1610663–1610663. 3 indexed citations
13.
Deng, Yuxiang, Long Yu, Yujie Zhao, et al.. (2021). RCC1 Expression as a Prognostic Marker in Colorectal Liver Oligometastases. Pathology & Oncology Research. 27. 1610077–1610077. 8 indexed citations
14.
Peng, Jianhong, Weihao Li, Wenhua Fan, et al.. (2021). Prognostic value of a novel biomarker combining DNA ploidy and tumor burden score for initially resectable liver metastases from patients with colorectal cancer. Cancer Cell International. 21(1). 554–554. 6 indexed citations
15.
Li, Weihao, Jianhong Peng, Cong Li, et al.. (2020). Prognosis and risk factors for the development of pulmonary metastases after preoperative chemoradiotherapy and radical resection in patients with locally advanced rectal cancer. Annals of Translational Medicine. 8(4). 117–117. 5 indexed citations
16.
Sui, Qiaoqi, Jian Zheng, Dingxin Liu, et al.. (2019). Dickkopf-related protein 1, a new biomarker for local immune status and poor prognosis among patients with colorectal liver Oligometastases: a retrospective study. BMC Cancer. 19(1). 1210–1210. 16 indexed citations
17.
Peng, Jianhong, Yixin Zhao, Hao Chen, et al.. (2019). High WNT6 expression indicates unfavorable survival outcome for patients with colorectal liver metastasis after liver resection. Journal of Cancer. 10(12). 2619–2627. 7 indexed citations
18.
Ou, Qingjian, Xiaojun Wu, Jianhong Peng, et al.. (2017). Endocrine therapy inhibits proliferation and migration, promotes apoptosis and suppresses survivin protein expression in colorectal cancer cells. Molecular Medicine Reports. 16(5). 5769–5778. 3 indexed citations
20.
Peng, Jianhong, et al.. (2015). Effect of anesthesia combined with intercostal nerve block on analgesia for esophageal cancer after operation.. PubMed. 19(12). 2293–6. 5 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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