Aizong Shen

2.8k total citations · 2 hit papers
49 papers, 1.9k citations indexed

About

Aizong Shen is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Aizong Shen has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Oncology and 6 papers in Infectious Diseases. Recurrent topics in Aizong Shen's work include COVID-19 Clinical Research Studies (5 papers), RNA Interference and Gene Delivery (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Aizong Shen is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), RNA Interference and Gene Delivery (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Aizong Shen collaborates with scholars based in China, United States and Italy. Aizong Shen's co-authors include Xiaojun Feng, Suowen Xu, Lei Zhang, Robert Mittendorf, Lewis B. Holmes, C. R. Smith, Sonia Hernández–Dı́az, Shengyu Zhang, Jiaojiao Cao and Xiaolin Fang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Blood.

In The Last Decade

Aizong Shen

47 papers receiving 1.9k citations

Hit Papers

Comparative safety of antiepileptic drugs during pregnancy 2012 2026 2016 2021 2012 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aizong Shen China 18 607 362 302 287 257 49 1.9k
Ellen M. McDonagh United States 22 1.0k 1.7× 422 1.2× 209 0.7× 170 0.6× 77 0.3× 35 2.9k
Donald Jung United States 22 518 0.9× 228 0.6× 179 0.6× 166 0.6× 108 0.4× 67 2.3k
Nitin Mehrotra United States 22 360 0.6× 176 0.5× 113 0.4× 256 0.9× 86 0.3× 59 1.8k
J. Kevin Hicks United States 26 665 1.1× 532 1.5× 156 0.5× 96 0.3× 141 0.5× 64 2.3k
Nuala A. Helsby New Zealand 26 719 1.2× 169 0.5× 241 0.8× 152 0.5× 58 0.2× 81 2.0k
Pankaj B. Desai United States 29 715 1.2× 248 0.7× 127 0.4× 318 1.1× 93 0.4× 81 3.1k
Yaning Wang United States 29 769 1.3× 559 1.5× 112 0.4× 180 0.6× 122 0.5× 117 3.4k
Mingkang Zhong China 25 448 0.7× 291 0.8× 52 0.2× 120 0.4× 221 0.9× 100 1.7k
Helen Winter United States 25 329 0.5× 175 0.5× 72 0.2× 469 1.6× 245 1.0× 69 1.9k
Tony K. L. Kiang Canada 21 381 0.6× 375 1.0× 65 0.2× 212 0.7× 254 1.0× 54 1.5k

Countries citing papers authored by Aizong Shen

Since Specialization
Citations

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

Fields of papers citing papers by Aizong Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aizong Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Aizong Shen. A scholar is included among the top collaborators of Aizong Shen 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 Aizong Shen. Aizong Shen 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.
Gao, Fan, Wei You, Lei Zhang, et al.. (2025). Copper Chelate Targeting Externalized Phosphatidylserine Inhibits PD-L1 Expression and Enhances Cancer Immunotherapy. Journal of the American Chemical Society. 147(7). 5796–5807. 5 indexed citations
2.
Zhou, Xiaohong, Jiawei Wang, Wei You, et al.. (2025). Targeting phosphatidylserine in tumor cell membranes with a zinc-containing molecule to efficiently combat tumor metastasis. Journal of Nanobiotechnology. 23(1). 363–363. 2 indexed citations
3.
Zhang, Fengkui, et al.. (2024). A Cost-Utility Analysis of Ferric Derisomaltose Versus Ferric Carboxymaltose in Patients with Iron Deficiency Anemia in China. Advances in Therapy. 41(11). 4191–4204. 1 indexed citations
4.
Huang, Wei‐Qiang, Wang Fei, Xuan Nie, et al.. (2024). An adhesion-switchable hydrogel dressing for painless dressing removal without secondary damage. Journal of Materials Chemistry B. 12(23). 5628–5644. 5 indexed citations
7.
Zhou, Hong, Fang Yan, Tao Xu, et al.. (2020). Potential therapeutic targets and promising drugs for combating SARS‐CoV‐2. British Journal of Pharmacology. 177(14). 3147–3161. 63 indexed citations
8.
Huang, Wei‐Qiang, Fei Wang, Aizong Shen, et al.. (2020). Single nanosheet can sustainably generate oxygen and inhibit respiration simultaneously in cancer cells. Materials Horizons. 8(2). 597–605. 17 indexed citations
9.
Zhang, Shengyu, Lei Li, Aizong Shen, Yongwu Chen, & Zhigang Qi. (2020). Rational Use of Tocilizumab in the Treatment of Novel Coronavirus Pneumonia. Clinical Drug Investigation. 40(6). 511–518. 146 indexed citations
10.
Tao, Zhengang, Lei Zhang, Thomas Friedemann, et al.. (2020). Systematic analyses on the potential immune and anti-inflammatory mechanisms of Shufeng Jiedu Capsule against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)-caused pneumonia. Journal of Functional Foods. 75. 104243–104243. 18 indexed citations
12.
Ning, Ling, Lei Liu, Wenyuan Li, et al.. (2020). Novel coronavirus (SARS-CoV-2) infection in a renal transplant recipient: Case report. American Journal of Transplantation. 20(7). 1864–1868. 54 indexed citations
13.
Chen, Zhaolin, Tingting Pan, Yadi Geng, et al.. (2020). The lncRNA-GAS5/miR-221-3p/DKK2 Axis Modulates ABCB1-Mediated Adriamycin Resistance of Breast Cancer via the Wnt/β-Catenin Signaling Pathway. Molecular Therapy — Nucleic Acids. 19. 1434–1448. 113 indexed citations
14.
Feng, Xiaojun, Antonio García‐Ríos, Samineh Jafari, et al.. (2019). Berberine in Cardiovascular and Metabolic Diseases: From Mechanisms to Therapeutics. Theranostics. 9(7). 1923–1951. 323 indexed citations breakdown →
15.
Feng, Xiaojun, Lei Zhang, Suowen Xu, & Aizong Shen. (2019). ATP-citrate lyase (ACLY) in lipid metabolism and atherosclerosis: An updated review. Progress in Lipid Research. 77. 101006–101006. 171 indexed citations
16.
Chen, Zhaolin, Cheng Huang, Taotao Ma, et al.. (2018). Reversal effect of quercetin on multidrug resistance via FZD7/β-catenin pathway in hepatocellular carcinoma cells. Phytomedicine. 43. 37–45. 90 indexed citations
17.
Chen, Lixun, Ling Jiang, Aizong Shen, & Wei Wei. (2016). Development of a quality instrument for assessing the spontaneous reports of ADR/ADE using Delphi method in China. European Journal of Clinical Pharmacology. 72(9). 1135–1142. 5 indexed citations
18.
Kim, Hyung Jun, et al.. (2014). Augmentation of NAD+ by NQO1 attenuates cisplatin-mediated hearing impairment. Cell Death and Disease. 5(6). e1292–e1292. 56 indexed citations
19.
Jiang, Ling, et al.. (2010). Intervention Management on Prophylactic Use of Antibiotics During Perioperative Period of Class I Surgical Incision Operations in Our Hospital. Zhongguo yiyuan ganranxue zazhi. 20(9). 1296–1299. 1 indexed citations
20.
Dmitriev, Alexander V., Aizong Shen, Ľudmila Tkáčiková, Ivan Mikula, & Yu Yang. (2004). Structure of scpB-lmb intergenic Region as Criterion for Additional Classification of Human and Bovine Group B Streptococci. Acta Veterinaria Brno. 73(2). 215–220. 4 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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