Nan Zhang

10.5k total citations · 6 hit papers
273 papers, 6.2k citations indexed

About

Nan Zhang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Nan Zhang has authored 273 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Molecular Biology, 98 papers in Cancer Research and 93 papers in Oncology. Recurrent topics in Nan Zhang's work include Cancer-related molecular mechanisms research (47 papers), Ferroptosis and cancer prognosis (41 papers) and Cancer Immunotherapy and Biomarkers (37 papers). Nan Zhang is often cited by papers focused on Cancer-related molecular mechanisms research (47 papers), Ferroptosis and cancer prognosis (41 papers) and Cancer Immunotherapy and Biomarkers (37 papers). Nan Zhang collaborates with scholars based in China, United States and United Kingdom. Nan Zhang's co-authors include Quan Cheng, Hao Zhang, Wantao Wu, Zeyu Wang, Ziyu Dai, Zhixiong Liu, Liyang Zhang, Wenjing Zeng, Peng Luo and Zaoqu Liu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Nan Zhang

257 papers receiving 6.1k citations

Hit Papers

Glioma targeted therapy: insight into future of molecular... 2021 2026 2022 2024 2022 2021 2023 2021 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Zhang China 39 2.6k 2.0k 1.9k 1.5k 1.4k 273 6.2k
Yohei Miyagi Japan 47 3.4k 1.3× 1.8k 0.9× 2.3k 1.2× 1.6k 1.0× 1.1k 0.8× 324 8.2k
Shulin Li United States 46 3.9k 1.5× 1.4k 0.7× 2.7k 1.4× 875 0.6× 2.0k 1.5× 207 8.6k
Don L. Gibbons United States 51 4.1k 1.6× 2.1k 1.0× 4.0k 2.1× 1.9k 1.3× 1.7k 1.3× 182 9.0k
Hong‐Jian Zhu Australia 48 5.4k 2.1× 2.0k 1.0× 2.3k 1.2× 885 0.6× 1.0k 0.8× 163 8.5k
Curzio Rüegg Switzerland 45 3.0k 1.1× 1.3k 0.7× 2.2k 1.1× 598 0.4× 1.8k 1.3× 132 6.4k
Chand Khanna United States 49 3.4k 1.3× 1.4k 0.7× 2.3k 1.2× 2.8k 1.8× 1.1k 0.8× 126 7.8k
Wilfried Roth Germany 47 3.1k 1.2× 1.3k 0.7× 2.1k 1.1× 2.2k 1.4× 843 0.6× 246 7.3k
Yun Zhang China 40 3.8k 1.4× 2.1k 1.1× 1.9k 1.0× 757 0.5× 1.2k 0.9× 257 7.2k
Aly Karsan Canada 52 5.6k 2.1× 2.4k 1.2× 1.6k 0.8× 882 0.6× 2.1k 1.6× 202 9.5k
Efstathios N. Stathopoulos Greece 38 1.9k 0.7× 1.5k 0.8× 1.9k 1.0× 1.1k 0.8× 806 0.6× 118 4.9k

Countries citing papers authored by Nan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Nan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Zhang. A scholar is included among the top collaborators of Nan Zhang 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 Nan Zhang. Nan Zhang 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.
Zhang, Chen, Nan Zhang, Ruiqi Yang, et al.. (2025). Intracellular self‐assembled nanoneedles for efficient lysosomal escape and CRISPR/Cas9 mediated gene editing. SHILAP Revista de lepidopterología. 4(1).
3.
Zhu, Junmin, Bokang Qiao, Zhiyu Qiao, et al.. (2025). Single-cell transcriptome analysis profiles cellular and molecular alterations in aortic tissue from patients with Behçet’s syndrome. Lara D. Veeken. 64(9). 5037–5047. 1 indexed citations
5.
Liu, Gao‐Min, Xiaoyu Ding, Lijun Xue, et al.. (2024). miR-520e and its promoter region DNA methylation as potential biomarkers in atherosclerosis. Biochemistry and Cell Biology. 102(5). 385–393. 1 indexed citations
7.
Zhang, Yanru, Bo Zhang, Nan Zhang, et al.. (2023). Single-cell RNA sequencing identifies critical transcription factors of tumor cell invasion induced by hypoxia microenvironment in glioblastoma. Theranostics. 13(11). 3744–3760. 17 indexed citations
9.
Butterfield, Richard, et al.. (2023). Increase in melanoma knowledge in Latino patients after a targeted digital educational program. JAAD International. 14. 61–63. 2 indexed citations
10.
Li, Yize, et al.. (2023). MEG3 sponges miRNA-376a and YBX1 to regulate angiogenesis in ovarian cancer endothelial cells. Heliyon. 9(2). e13204–e13204. 8 indexed citations
11.
Luo, Hong, Hao Zhang, Jinning Mao, et al.. (2023). Exosome-based nanoimmunotherapy targeting TAMs, a promising strategy for glioma. Cell Death and Disease. 14(4). 235–235. 40 indexed citations
12.
Zhang, Jiangang, Yu Zhou, Juan Lei, et al.. (2023). Retention time prediction and MRM validation reinforce the biomarker identification of LC-MS based phospholipidomics. The Analyst. 149(2). 515–527. 2 indexed citations
13.
Zhang, Nan, Hao Zhang, Zaoqu Liu, et al.. (2023). An artificial intelligence network‐guided signature for predicting outcome and immunotherapy response in lung adenocarcinoma patients based on 26 machine learning algorithms. Cell Proliferation. 56(4). e13409–e13409. 46 indexed citations
14.
Wang, Xinfa, Xianbo Zhou, Fang Wang, et al.. (2023). Long noncoding RNA TPTEP1 suppresses diabetic retinopathy by reducing oxidative stress and targeting the miR-489-3p/NRF2 axis. Acta Biochimica Polonica. 70(1). 45–50. 5 indexed citations
15.
Guo, Hua‐Yang, Mingjian Liu, Ke-Cheng Zhu, et al.. (2023). Transcriptome Analysis of the Immune Process of Golden Pompano (Trachinotus ovatus) Infected with Streptococcus agalactiae. Fishes. 8(1). 52–52. 15 indexed citations
16.
Liu, Bao-Suo, Hua‐Yang Guo, Ke-Cheng Zhu, et al.. (2023). Transcriptomic Analysis Reveals Functional Interaction of mRNA-lncRNA-miRNA in Trachinotus ovatus Infected by Cryptocaryon irritans. International Journal of Molecular Sciences. 24(21). 15886–15886. 3 indexed citations
17.
Zhang, Hao, Nan Zhang, Ziyu Dai, et al.. (2022). Hyaluronic acids mediate the infiltration, migration, and M2 polarization of macrophages: evaluating metabolic molecular phenotypes in gliomas. Molecular Oncology. 16(22). 3927–3948. 13 indexed citations
19.
Liu, Fang, Xinglan An, Xu Zhao, et al.. (2021). MiR-10b-5p inhibits tumorigenesis in gastric cancer xenograft mice model through down-regulating Tiam1. Experimental Cell Research. 407(2). 112810–112810. 8 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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