He Zhou

3.4k total citations
78 papers, 2.6k citations indexed

About

He Zhou is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, He Zhou has authored 78 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 30 papers in Oncology and 25 papers in Immunology. Recurrent topics in He Zhou's work include Immunotherapy and Immune Responses (13 papers), Cancer-related molecular mechanisms research (13 papers) and Cancer Cells and Metastasis (10 papers). He Zhou is often cited by papers focused on Immunotherapy and Immune Responses (13 papers), Cancer-related molecular mechanisms research (13 papers) and Cancer Cells and Metastasis (10 papers). He Zhou collaborates with scholars based in China, United States and Germany. He Zhou's co-authors include Rong Xiang, Ralph A. Reisfeld, Yongfu Xiong, Yunping Luo, Tong Zhou, Zhongxue Fu, Noriko Mizutani, Masato Mizutani, Dorothy Markowitz and Norman W. Miller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

He Zhou

74 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
He Zhou China 30 1.4k 854 808 687 323 78 2.6k
Н. В. Чердынцева Russia 26 1.2k 0.8× 734 0.9× 751 0.9× 924 1.3× 338 1.0× 189 2.5k
Hasan Rajabi United States 39 2.4k 1.7× 720 0.8× 749 0.9× 1.1k 1.7× 404 1.3× 67 3.2k
Xinhui Wang United States 21 828 0.6× 536 0.6× 459 0.6× 917 1.3× 251 0.8× 55 1.9k
Gwenola Manic Italy 20 1.3k 0.9× 963 1.1× 597 0.7× 868 1.3× 311 1.0× 30 2.6k
Francisco J. Sánchez‐Rivera United States 22 1.9k 1.4× 515 0.6× 483 0.6× 809 1.2× 237 0.7× 34 3.0k
Shiang Huang China 29 1.3k 0.9× 809 0.9× 471 0.6× 910 1.3× 145 0.4× 86 2.6k
Vasilena Gocheva United States 21 1.3k 0.9× 601 0.7× 1.2k 1.4× 969 1.4× 141 0.4× 25 2.7k
Imayavaramban Lakshmanan United States 27 1.5k 1.0× 504 0.6× 407 0.5× 961 1.4× 292 0.9× 43 2.2k
Arun Satelli United States 17 1.2k 0.9× 520 0.6× 654 0.8× 1.2k 1.7× 362 1.1× 24 2.5k
Mélissa Cardon France 7 1.1k 0.8× 629 0.7× 801 1.0× 1.2k 1.7× 193 0.6× 9 2.2k

Countries citing papers authored by He Zhou

Since Specialization
Citations

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

Fields of papers citing papers by He Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of He Zhou. A scholar is included among the top collaborators of He Zhou 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 He Zhou. He Zhou 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.
Jiang, Mei & He Zhou. (2025). A lifestyle-based prediction model for obesity in Chinese adolescent students. Frontiers in Sports and Active Living. 7. 1677707–1677707.
2.
Shi, Yongquan, Fu Wang, He Zhou, et al.. (2024). P170 SLC7A5 promotes the progression of Ulcerative Colitis by regulating amino acid transport and intestinal epithelial autophagy. Journal of Crohn s and Colitis. 18(Supplement_1). i471–i471. 1 indexed citations
3.
4.
Liu, Xin, et al.. (2023). Advances in the research of sulfur dioxide and pulmonary hypertension. Frontiers in Pharmacology. 14. 1282403–1282403. 10 indexed citations
5.
Liu, Jieqiong, et al.. (2023). Impact of Atypical Hyperplasia at Surgical Margins on breast cancer outcomes in patients treated with neoadjuvant chemotherapy. Frontiers in Oncology. 13. 1202689–1202689. 1 indexed citations
6.
Han, Yuying, Xiaoliang Gao, Nan Wu, et al.. (2022). Long noncoding RNA LINC00239 inhibits ferroptosis in colorectal cancer by binding to Keap1 to stabilize Nrf2. Cell Death and Disease. 13(8). 742–742. 54 indexed citations
7.
Ling, Xiang, Rong Wang, Yongfu Xiong, et al.. (2021). Bioinformatic Analysis of Immune Significance of RYR2 Mutation in Breast Cancer. BioMed Research International. 2021(1). 8072796–8072796. 18 indexed citations
8.
M, Li, Zhuqing Wang, Zhiming Yang, et al.. (2020). Depression of Mitochondrial Function in the Rat Skeletal Muscle Model of Myofascial Pain Syndrome Is Through Down-Regulation of the AMPK-PGC-1α-SIRT3 Axis. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Xiong, Yongfu, Wenxian You, Min Hou, et al.. (2018). Nomogram Integrating Genomics with Clinicopathologic Features Improves Prognosis Prediction for Colorectal Cancer. Molecular Cancer Research. 16(9). 1373–1384. 11 indexed citations
10.
Yang, Mengxuan, Yingying Qu, Xubo Wu, et al.. (2016). Ubiquitin-conjugating enzyme UbcH10 promotes gastric cancer growth and is a potential biomarker for gastric cancer. Oncology Reports. 36(2). 779–786. 21 indexed citations
11.
Zhang, Guangjun, et al.. (2013). Up-regulation of miR-224 promotes cancer cell proliferation and invasion and predicts relapse of colorectal cancer. Cancer Cell International. 13(1). 104–104. 49 indexed citations
12.
Luo, Yue, He Zhou, Joseph S. Krueger, et al.. (2009). The role of proto-oncogene Fra-1 in remodeling the tumor microenvironment in support of breast tumor cell invasion and progression. Oncogene. 29(5). 662–673. 77 indexed citations
13.
Lewén, Susanna, He Zhou, Huaidong Hu, et al.. (2007). A Legumain-based minigene vaccine targets the tumor stroma and suppresses breast cancer growth and angiogenesis. Cancer Immunology Immunotherapy. 57(4). 507–515. 77 indexed citations
14.
Luo, Yunping, He Zhou, Joerg Krueger, et al.. (2006). Targeting tumor-associated macrophages: A novel strategy against breast cancer.. Cancer Research. 66. 1307–1307. 1 indexed citations
15.
Luo, Yunping, Dorothy Markowitz, Rong Xiang, He Zhou, & Ralph A. Reisfeld. (2006). FLK-1-based minigene vaccines induce T cell-mediated suppression of angiogenesis and tumor protective immunity in syngeneic BALB/c mice. Vaccine. 25(8). 1409–1415. 15 indexed citations
16.
Zhou, He, Yunping Luo, Masato Mizutani, et al.. (2004). A novel transgenic mouse model for immunological evaluation of carcinoembryonic antigen–based DNA minigene vaccines. Journal of Clinical Investigation. 113(12). 1792–1798. 26 indexed citations
17.
Zhou, He, Eva Bengtén, Norman W. Miller, L. William Clem, & Melanie Wilson. (2003). The T Cell Receptor β Locus of the Channel Catfish, Ictalurus punctatus , Reveals Unique Features. The Journal of Immunology. 170(5). 2573–2581. 31 indexed citations
18.
Zhou, He, Tor B. Stuge, Norman W. Miller, et al.. (2001). Heterogeneity of Channel Catfish CTL with Respect to Target Recognition and Cytotoxic Mechanisms Employed. The Journal of Immunology. 167(3). 1325–1332. 67 indexed citations
19.
Stuge, Tor B., Melanie R. Wilson, He Zhou, et al.. (2000). Development and Analysis of Various Clonal Alloantigen- Dependent Cytotoxic Cell Lines from Channel Catfish. The Journal of Immunology. 164(6). 2971–2977. 95 indexed citations
20.
Wilson, Melanie R., He Zhou, Eva Bengtén, et al.. (1998). T-cell receptors in channel catfish: structure and expression of TCR α and β genes. Molecular Immunology. 35(9). 545–557. 96 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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