Jiehua He

1.2k total citations
30 papers, 776 citations indexed

About

Jiehua He is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jiehua He has authored 30 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Jiehua He's work include RNA modifications and cancer (7 papers), BRCA gene mutations in cancer (4 papers) and Cancer Diagnosis and Treatment (4 papers). Jiehua He is often cited by papers focused on RNA modifications and cancer (7 papers), BRCA gene mutations in cancer (4 papers) and Cancer Diagnosis and Treatment (4 papers). Jiehua He collaborates with scholars based in China, United States and Netherlands. Jiehua He's co-authors include Dong Yin, Jian‐You Liao, Shusen Wang, Tao Qin, Xiaomei Jiang, Roujun Peng, Zhongyu Yuan, Gui‐Nan Lin, Jiewen Peng and Kaishun Hu and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Molecular Cancer.

In The Last Decade

Jiehua He

28 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiehua He China 13 488 430 211 117 77 30 776
Michael S. McLemore United States 9 405 0.8× 290 0.7× 224 1.1× 58 0.5× 153 2.0× 14 708
Naijun Han China 15 400 0.8× 222 0.5× 202 1.0× 111 0.9× 44 0.6× 31 689
Chenkai Ma Australia 12 518 1.1× 319 0.7× 144 0.7× 106 0.9× 40 0.5× 27 754
Chunfa Chen China 16 571 1.2× 400 0.9× 194 0.9× 108 0.9× 38 0.5× 33 800
Pawadee Lohavanichbutr United States 14 555 1.1× 356 0.8× 202 1.0× 146 1.2× 56 0.7× 15 925
Hein F.B.M. Sleddens Netherlands 15 357 0.7× 231 0.5× 313 1.5× 173 1.5× 179 2.3× 22 782
Xuebing Di China 13 355 0.7× 226 0.5× 197 0.9× 175 1.5× 47 0.6× 24 700
María Vila-Casadesús Spain 16 433 0.9× 358 0.8× 201 1.0× 65 0.6× 101 1.3× 31 820
Francesca Belardinilli Italy 15 221 0.5× 168 0.4× 254 1.2× 55 0.5× 53 0.7× 30 508

Countries citing papers authored by Jiehua He

Since Specialization
Citations

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

Fields of papers citing papers by Jiehua He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiehua He

This figure shows the co-authorship network connecting the top 25 collaborators of Jiehua He. A scholar is included among the top collaborators of Jiehua He 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 Jiehua He. Jiehua He 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.
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Hu, Kaishun, et al.. (2024). CYR61 Acts as an Intracellular Microtubule-Associated Protein and Coordinates Mitotic Progression via PLK1-FBW7 Pathway. International Journal of Biological Sciences. 20(8). 3140–3155.
3.
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Chai, Qiyao, Zehui Lei, Yiru Wang, et al.. (2024). LILRB1-HLA-G axis defines a checkpoint driving natural killer cell exhaustion in tuberculosis. EMBO Molecular Medicine. 16(8). 1755–1790. 6 indexed citations
5.
Yang, Bing, Yanmei Shi, Daning Lu, et al.. (2024). PerturbDB for unraveling gene functions and regulatory networks. Nucleic Acids Research. 53(D1). D1120–D1131. 2 indexed citations
6.
Lan, Qiusheng, Wentao Liu, Xinwen Hu, et al.. (2024). Granulocyte-like myeloid-derived suppressor cells: The culprits of neutrophil extracellular traps formation in the pre-metastatic niche. International Immunopharmacology. 143(Pt 3). 113500–113500. 1 indexed citations
7.
Zhang, Yan, et al.. (2024). Risk assessment of work-related musculoskeletal disorders in typical positions, case study: Operation and maintenance employees of oil and gas pipeline. International Journal of Industrial Ergonomics. 104. 103662–103662. 1 indexed citations
8.
Chao, Xue, Ying Zhang, Chengyou Zheng, et al.. (2023). Metastasis of breast cancer to bones alters the tumor immune microenvironment. European journal of medical research. 28(1). 119–119. 10 indexed citations
9.
Du, Tian, Lu Pan, Chengyou Zheng, et al.. (2022). Matrix Gla protein (MGP), GATA3, and TRPS1: a novel diagnostic panel to determine breast origin. Breast Cancer Research. 24(1). 70–70. 13 indexed citations
10.
Qiu, Yuntan, Meng Meng, Jingyuan Zhang, et al.. (2021). RNA-binding protein MEX3A controls G1/S transition via regulating the RB/E2F pathway in clear cell renal cell carcinoma. Molecular Therapy — Nucleic Acids. 27. 241–255. 7 indexed citations
11.
He, Jiehua, Ziqiang Chu, Lai Wei, et al.. (2021). Circular RNA circHERC4 as a novel oncogenic driver to promote tumor metastasis via the miR-556-5p/CTBP2/E-cadherin axis in colorectal cancer. Journal of Hematology & Oncology. 14(1). 194–194. 53 indexed citations
12.
Sun, Peng, Jiehua He, Xue Chao, et al.. (2021). A Computational Tumor-Infiltrating Lymphocyte Assessment Method Comparable with Visual Reporting Guidelines for Triple-Negative Breast Cancer. EBioMedicine. 70. 103492–103492. 40 indexed citations
13.
He, Jiehua, Ming‐Liang He, Jian‐You Liao, et al.. (2020). Circular RNA MAPK4 (circ-MAPK4) inhibits cell apoptosis via MAPK signaling pathway by sponging miR-125a-3p in gliomas. Molecular Cancer. 19(1). 17–17. 106 indexed citations
14.
Liao, Jian‐You, Bing Yang, Yu‐Chan Zhang, et al.. (2019). EuRBPDB: a comprehensive resource for annotation, functional and oncological investigation of eukaryotic RNA binding proteins (RBPs). Nucleic Acids Research. 48(D1). D307–D313. 71 indexed citations
15.
Cao, Liping, Qidan Huang, Jiehua He, Jiabin Lu, & Ying Xiong. (2013). Elevated expression of iASPP correlates with poor prognosis and chemoresistance/radioresistance in FIGO Ib1-IIa squamous cell cervical cancer. Cell and Tissue Research. 352(2). 361–369. 23 indexed citations
16.
Li, Qiuli, et al.. (2013). Treatment and Prognosis of Anaplastic Thyroid Carcinoma: Experience from a Single Institution in China. PLoS ONE. 8(11). e80011–e80011. 31 indexed citations
17.
He, Jiehua, Roujun Peng, Zhongyu Yuan, et al.. (2011). Prognostic value of androgen receptor expression in operable triple-negative breast cancer: a retrospective analysis based on a tissue microarray. Medical Oncology. 29(2). 406–410. 137 indexed citations
18.
Zhang, Yanna, Ming Yan, Jiehua He, Jinrui Sun, & Xueming Sun. (2010). Significant effects of lymph and blood vascular invasion on the prognosis of early‐stage cervical squamous cell carcinoma. Journal of obstetrics and gynaecology research. 36(5). 1015–1022. 4 indexed citations
19.
Xia, Liangping, Zhongyu Yuan, Xi Wang, et al.. (2010). Characteristics of Chinese male patients with breast cancer: summary of the published papers. The Chinese-German Journal of Clinical Oncology. 9(6). 311–315. 2 indexed citations
20.
Liu, Tianrun, Chao‐Nan Qian, Xiang Guo, et al.. (2009). Primary salivary gland type carcinoma of the nasopharynx: Therapeutic outcomes and prognostic factors. Head & Neck. 32(4). 435–444. 13 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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