Jiahao Jiang

2.0k total citations · 1 hit paper
67 papers, 1.5k citations indexed

About

Jiahao Jiang is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Jiahao Jiang has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Neurology and 13 papers in Oncology. Recurrent topics in Jiahao Jiang's work include Myasthenia Gravis and Thymoma (18 papers), RNA modifications and cancer (9 papers) and Pituitary Gland Disorders and Treatments (6 papers). Jiahao Jiang is often cited by papers focused on Myasthenia Gravis and Thymoma (18 papers), RNA modifications and cancer (9 papers) and Pituitary Gland Disorders and Treatments (6 papers). Jiahao Jiang collaborates with scholars based in China, United States and United Kingdom. Jiahao Jiang's co-authors include Jia Fan, Jian Zhou, Fangming Gu, Qiang Gao, Jian‐Yong Ding, Enyuan Hu, Huolin L. Xin, Feng Xu, Sha Tan and Lu Ma and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Jiahao Jiang

60 papers receiving 1.4k citations

Hit Papers

High‐Entropy and Superstructure‐Stabilized Layered Oxide ... 2022 2026 2023 2024 2022 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
Jiahao Jiang China 19 586 354 304 203 185 67 1.5k
Lisha Ai China 23 568 1.0× 577 1.6× 264 0.9× 248 1.2× 114 0.6× 46 1.5k
Moshe Giladi United States 19 456 0.8× 248 0.7× 115 0.4× 85 0.4× 67 0.4× 121 1.6k
Huijie Gao China 20 487 0.8× 309 0.9× 301 1.0× 130 0.6× 40 0.2× 59 1.1k
Thu Ho Australia 19 972 1.7× 284 0.8× 440 1.4× 175 0.9× 33 0.2× 32 1.4k
Andrea Pavesi Singapore 25 557 1.0× 479 1.4× 75 0.2× 217 1.1× 32 0.2× 58 1.9k
Norihiko Sasaki Japan 23 705 1.2× 283 0.8× 168 0.6× 168 0.8× 59 0.3× 66 1.2k
Tomoko Hashimoto Japan 20 640 1.1× 321 0.9× 115 0.4× 141 0.7× 43 0.2× 63 1.5k
Kwangmin Choi United States 28 911 1.6× 173 0.5× 344 1.1× 308 1.5× 34 0.2× 85 1.9k
Ettore Luzi Italy 19 1.2k 2.0× 288 0.8× 403 1.3× 37 0.2× 99 0.5× 34 1.7k
Chaoyang Wu China 20 683 1.2× 170 0.5× 283 0.9× 79 0.4× 48 0.3× 52 1.4k

Countries citing papers authored by Jiahao Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jiahao Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiahao Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiahao Jiang. A scholar is included among the top collaborators of Jiahao Jiang 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 Jiahao Jiang. Jiahao Jiang 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, Jiahao, et al.. (2025). A Rapid Cortical Learning Process Supporting Students’ Knowledge Construction During Real Classroom Teaching. Advanced Science. 12(18). e2416610–e2416610. 4 indexed citations
2.
Jiang, Jiahao, et al.. (2025). Ox-LDL induces a non-inflammatory response enriched for coronary artery disease risk in human endothelial cells. Scientific Reports. 15(1). 21877–21877. 1 indexed citations
3.
Jiang, Jiahao, Thomas A. Agbaedeng, James Bancroft, et al.. (2024). A Novel Macrophage Subpopulation Conveys Increased Genetic Risk of Coronary Artery Disease. Circulation Research. 135(1). 6–25. 9 indexed citations
4.
Jiang, Jiahao, Jian Gao, Shuai Wang, et al.. (2024). Surgical treatment strategy for thymic tumors invading the superior vena cava. 3(1).
6.
Gao, Jian, et al.. (2024). BUB1b impairs chemotherapy sensitivity via resistance to ferroptosis in lung adenocarcinoma. Cell Death and Disease. 15(7). 525–525. 2 indexed citations
7.
Su, Jiayu, Xi Fu, Guojie Zhong, et al.. (2023). Smoother: a unified and modular framework for incorporating structural dependency in spatial omics data. Genome biology. 24(1). 291–291. 3 indexed citations
8.
Wang, Shuai, Jiahao Jiang, Miao Lin, et al.. (2023). Subxiphoid versus lateral intercostal thoracoscopic thymectomy for suspected thymoma: Results of a randomized controlled trial. Journal of Thoracic and Cardiovascular Surgery. 168(1). 290–298. 5 indexed citations
10.
Xu, Jinming, et al.. (2023). ADAM12 promotes clear cell renal cell carcinoma progression and triggers EMT via EGFR/ERK signaling pathway. Journal of Translational Medicine. 21(1). 56–56. 17 indexed citations
11.
Wang, Shuai, Miao Lin, Zhenyang Lin, et al.. (2022). A novel predictive model for distinguishing mediastinal lymphomas from thymic epithelial tumours. European Journal of Cardio-Thoracic Surgery. 62(6). 1 indexed citations
12.
Yao, Libing, Peichao Zou, Chunyang Wang, et al.. (2022). High‐Entropy and Superstructure‐Stabilized Layered Oxide Cathodes for Sodium‐Ion Batteries. Advanced Energy Materials. 12(41). 209 indexed citations breakdown →
13.
Wei, Jia, Jiahao Jiang, Ke Xing, et al.. (2022). Development of physiologically based toxicokinetic models for 3-monochloropropane-1,2-diol and glycidol. Food and Chemical Toxicology. 172. 113555–113555.
14.
Jiang, Jiahao, Jia Wei, Xuzhi Wan, et al.. (2022). Physiologically-based toxicokinetic model for the prediction of perchlorate distribution and its application. Environmental Pollution. 318. 120856–120856. 2 indexed citations
15.
Jiang, Jiahao, et al.. (2022). Recent thymic emigrants as the bridge between thymoma and autoimmune diseases. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1877(3). 188730–188730. 8 indexed citations
16.
Li, Yaoran, Jiahao Jiang, Qiao Wang, et al.. (2021). The construction and application of physiologically based toxicokinetic models for acrylamide, glycidamide and their biomarkers in rats and humans. Chemosphere. 292. 133458–133458. 2 indexed citations
17.
Xu, Fengkai, Jie Gu, Lin Wang, et al.. (2018). Up-regulation Of EIF3e Is Associated With The Progression Of Esophageal Squamous Cell Carcinoma And Poor Prognosis In Patients. Journal of Cancer. 9(7). 1135–1144. 7 indexed citations
18.
Zhan, Hao, Jiahao Jiang, Chu‐Bin Luo, et al.. (2016). Tumour-suppressive role of PTPN13 in hepatocellular carcinoma and its clinical significance. Tumor Biology. 37(7). 9691–9698. 21 indexed citations
19.
Lu, Yongning, Cheng He, Yingying Xu, et al.. (2014). Stathmin, Interacting with Nf-κB, Promotes Tumor Growth and Predicts Poor Prognosis of Pancreatic Cancer. Current Molecular Medicine. 14(3). 328–339. 20 indexed citations
20.
Yan, Jun, Shuangmu Zhuo, Gang Chen, et al.. (2012). Preclinical study of using multiphoton microscopy to diagnose liver cancer and differentiate benign and malignant liver lesions. Journal of Biomedical Optics. 17(2). 26004–26004. 28 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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