Rong‐Quan He

4.0k total citations
187 papers, 2.9k citations indexed

About

Rong‐Quan He is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rong‐Quan He has authored 187 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Molecular Biology, 99 papers in Cancer Research and 39 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rong‐Quan He's work include Cancer-related molecular mechanisms research (76 papers), RNA modifications and cancer (59 papers) and MicroRNA in disease regulation (52 papers). Rong‐Quan He is often cited by papers focused on Cancer-related molecular mechanisms research (76 papers), RNA modifications and cancer (59 papers) and MicroRNA in disease regulation (52 papers). Rong‐Quan He collaborates with scholars based in China, United States and Hong Kong. Rong‐Quan He's co-authors include Gang Chen, Yi‐Wu Dang, Dianzhong Luo, Jie Ma, Xiaohua Hu, Peng Lin, Dandan Xiong, Zhen‐Bo Feng, Minhua Rong and Ruixue Tang and has published in prestigious journals such as PLoS ONE, Journal of Leukocyte Biology and Medicine.

In The Last Decade

Rong‐Quan He

170 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rong‐Quan He China 29 2.2k 1.8k 471 329 233 187 2.9k
Yi‐Wu Dang China 26 1.7k 0.8× 1.4k 0.8× 367 0.8× 422 1.3× 176 0.8× 133 2.5k
Xinhua Xie China 33 2.1k 0.9× 1.8k 1.0× 524 1.1× 870 2.6× 188 0.8× 76 3.1k
Hengqiang Zhao China 28 1.8k 0.8× 1.6k 0.9× 240 0.5× 391 1.2× 308 1.3× 49 2.6k
Yongqian Shu China 34 3.5k 1.6× 3.2k 1.8× 310 0.7× 442 1.3× 245 1.1× 75 4.2k
Qu Cai China 29 1.6k 0.7× 1.2k 0.7× 410 0.9× 655 2.0× 321 1.4× 74 2.4k
Shuang‐Jian Qiu China 21 1.4k 0.6× 1.2k 0.7× 235 0.5× 428 1.3× 203 0.9× 36 2.3k
Tomohiro Arita Japan 27 1.7k 0.8× 1.6k 0.9× 676 1.4× 712 2.2× 588 2.5× 174 3.1k
Lisha Qi China 28 1.4k 0.6× 893 0.5× 415 0.9× 585 1.8× 172 0.7× 71 2.4k
Clara Alsinet Spain 18 1.7k 0.8× 841 0.5× 263 0.6× 462 1.4× 216 0.9× 27 2.7k
Dimitrios Spentzos United States 26 1.7k 0.8× 913 0.5× 443 0.9× 567 1.7× 94 0.4× 43 2.6k

Countries citing papers authored by Rong‐Quan He

Since Specialization
Citations

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

Fields of papers citing papers by Rong‐Quan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong‐Quan He

This figure shows the co-authorship network connecting the top 25 collaborators of Rong‐Quan He. A scholar is included among the top collaborators of Rong‐Quan 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 Rong‐Quan He. Rong‐Quan 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
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2.
Chen, Yi, Dongming Li, Rong‐Quan He, et al.. (2025). The Potential Biological Roles and Clinical Significance of Anaphase-Promoting Complex Subunit 1 in Colorectal Cancer. Cancer Control. 32. 2935748107–2935748107. 1 indexed citations
3.
Song, Chang W., Yu‐Yan Pang, Bin Li, et al.. (2025). Molecular mechanisms of thymopoietin in papillary thyroid cancer: Multiplatform gene expression data, gene knockout screening, and in-house immunohistochemistry. World Journal of Clinical Oncology. 16(7). 107109–107109. 1 indexed citations
4.
Zhang, Lu, Rong‐Quan He, Zhi‐Guang Huang, et al.. (2024). Multiple Machine Learning Models, Molecular Subtyping and Singlecell Analysis Identify PANoptosis-related Core Genes and their Association with Subtypes in Crohn’s Disease. Current Medicinal Chemistry. 32(42). 9707–9740. 3 indexed citations
5.
Peng, Wei, Yayu Chen, Rong‐Quan He, Gang Chen, & Daniel Xin Zhang. (2024). Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Enduring Legacy, Emerging Evidence. Frontiers in Bioscience-Landmark. 29(11). 385–385. 1 indexed citations
6.
Chen, Xiaosong, Rong‐Quan He, Zhi‐Guang Huang, et al.. (2024). What enlightenment has the development of lung cancer bone metastasis brought in the last 22 years. World Journal of Clinical Oncology. 15(6). 765–782.
7.
Huang, Xuelin, Rong‐Quan He, Yanfeng Jiang, et al.. (2024). Neutrophil extracellular traps: potential thrombotic markers and therapeutic targets in colorectal cancer. Journal of Leukocyte Biology. 117(3). 4 indexed citations
8.
Han, Zhiqiang, et al.. (2023). CTCF modulates adipocyte lipolysis via directly regulating the expression of Beclin 1 with the cooperation of PPARγ. Cellular Signalling. 113. 110968–110968. 3 indexed citations
9.
Liang, Liang, Jian‐Di Li, Rong‐Quan He, et al.. (2023). LPCAT1 enhances the invasion and migration in gastric cancer: Based on computational biology methods and in vitro experiments. Cancer Medicine. 12(12). 13438–13454. 3 indexed citations
10.
Chen, Gang, Rong‐Quan He, Zhi‐Guang Huang, et al.. (2022). Expression of IER3 in hepatocellular carcinoma: clinicopathology, prognosis, and potential regulatory pathways. PeerJ. 10. e12944–e12944. 6 indexed citations
11.
Tang, Wei, Jian‐Di Li, Rong‐Quan He, et al.. (2022). Downregulation of the enhancer of zeste homolog 1 transcriptional factor predicts poor prognosis of triple-negative breast cancer patients. PeerJ. 10. e13708–e13708. 4 indexed citations
12.
Lu, Huiping, Jian‐Di Li, Gang Chen, et al.. (2021). Clinical Implication of E2F Transcription Factor 1 in Hepatocellular Carcinoma Tissues. Cancer Biotherapy and Radiopharmaceuticals. 38(10). 684–707. 6 indexed citations
13.
Wu, Huayu, et al.. (2020). Prognostic alternative splicing signature in cervical squamous cell carcinoma. IET Systems Biology. 14(6). 314–322. 4 indexed citations
14.
Lin, Peng, Dong‐yue Wen, Ling Chen, et al.. (2019). A radiogenomics signature for predicting the clinical outcome of bladder urothelial carcinoma. European Radiology. 30(1). 547–557. 47 indexed citations
15.
He, Rong‐Quan, et al.. (2018). Prognostic Signature of Alternative Splicing Events in Bladder Urothelial Carcinoma Based on Spliceseq Data from 317 Cases. Cellular Physiology and Biochemistry. 48(3). 1355–1368. 52 indexed citations
16.
Zou, Xiaoping, Xin‐Gan Qin, Rong‐Quan He, et al.. (2018). Identification of putative drugs for gastric adenocarcinoma utilizing differentially expressed genes and connectivity map. Molecular Medicine Reports. 19(2). 1004–1015. 4 indexed citations
17.
18.
He, Rong‐Quan, Dandan Xiong, Jie Ma, et al.. (2018). The Clinicopathological Significance and Correlative Signaling Pathways of an Autophagy-Related Gene, Ambra1, in Breast Cancer: a Study of 25 Microarray RNA-Seq Datasets and in-House Gene Silencing. Cellular Physiology and Biochemistry. 51(3). 1027–1040. 3 indexed citations
19.
Wei, Yanping, Xinggu Lin, Rong‐Quan He, et al.. (2018). Epidemiologic Association of Nonalcoholic Fatty Liver Disease and Urinary Calculi: a Population-based Cross-sectional Study in Southern China.. PubMed. 12(2). 112–119. 15 indexed citations
20.
Luo, Yihuan, Xin Zhang, Lanshan Huang, et al.. (2016). High Ki-67 Immunohistochemical Reactivity Correlates With Poor Prognosis in Bladder Carcinoma. Medicine. 95(15). e3337–e3337. 23 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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