Nan Hua

664 total citations
21 papers, 343 citations indexed

About

Nan Hua is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Nan Hua has authored 21 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Physiology. Recurrent topics in Nan Hua's work include Protein Degradation and Inhibitors (4 papers), Peptidase Inhibition and Analysis (4 papers) and Alzheimer's disease research and treatments (3 papers). Nan Hua is often cited by papers focused on Protein Degradation and Inhibitors (4 papers), Peptidase Inhibition and Analysis (4 papers) and Alzheimer's disease research and treatments (3 papers). Nan Hua collaborates with scholars based in China, United States and Japan. Nan Hua's co-authors include Ling He, Guangrong Zheng, Xuan Zhang, Daohong Zhou, Tao Huang, Yuhang Gong, Dongwen Lv, Xingui Liu, Wanyi Hu and Yaxia Yuan and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Nan Hua

21 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Hua China 12 199 57 55 38 33 21 343
Floyd Galiano United States 11 187 0.9× 24 0.4× 65 1.2× 25 0.7× 22 0.7× 16 420
Haifeng Lian China 13 209 1.1× 31 0.5× 38 0.7× 27 0.7× 43 1.3× 29 400
Adele K. Addington United States 8 193 1.0× 22 0.4× 110 2.0× 55 1.4× 30 0.9× 12 382
Elham Jaberi Iran 10 175 0.9× 13 0.2× 46 0.8× 25 0.7× 51 1.5× 16 347
Yikun Guo China 10 103 0.5× 23 0.4× 63 1.1× 15 0.4× 40 1.2× 16 344
Juliana Romano Lopes Brazil 12 131 0.7× 38 0.7× 47 0.9× 49 1.3× 15 0.5× 30 357
Badi Sri Sailaja Israel 13 439 2.2× 71 1.2× 32 0.6× 33 0.9× 39 1.2× 23 633
Yuezhen Li China 15 250 1.3× 100 1.8× 50 0.9× 69 1.8× 22 0.7× 32 588
Ditte Neess Denmark 14 347 1.7× 29 0.5× 137 2.5× 23 0.6× 58 1.8× 20 592
Fai Tsang Singapore 10 149 0.7× 15 0.3× 107 1.9× 51 1.3× 87 2.6× 13 414

Countries citing papers authored by Nan Hua

Since Specialization
Citations

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

Fields of papers citing papers by Nan Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Hua. A scholar is included among the top collaborators of Nan Hua 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 Nan Hua. Nan Hua 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.
Wang, You, Yushu Wang, Yang Suo, et al.. (2023). Using the inner membrane of Escherichia coli as a scaffold to anchor enzymes for metabolic flux enhancement. Engineering in Life Sciences. 23(2). e2200034–e2200034. 2 indexed citations
2.
Yu, Tao, Yuan Zhang, Xiaohong Jin, et al.. (2023). Epigenetic regulation of beta-endorphin synthesis in hypothalamic arcuate nucleus neurons modulates neuropathic pain in a rodent pain model. Nature Communications. 14(1). 7234–7234. 17 indexed citations
3.
Khan, Sajid, Patrick Kellish, Nick Connis, et al.. (2023). Co-targeting BCL-XL and MCL-1 with DT2216 and AZD8055 synergistically inhibit small-cell lung cancer growth without causing on-target toxicities in mice. Cell Death Discovery. 9(1). 1–1. 31 indexed citations
4.
Pei, Jing, Yufeng Xiao, Xingui Liu, et al.. (2023). Piperlongumine conjugates induce targeted protein degradation. Cell chemical biology. 30(2). 203–213.e17. 48 indexed citations
5.
Kim, Myung‐Chul, Lei Wang, Nan Hua, et al.. (2023). Targeting intracellular proteins with cell type-specific functions for cancer immunotherapy. PubMed. 2(3). lnad019–lnad019. 5 indexed citations
6.
Khan, Sajid, J Wiegand, Peiyi Zhang, et al.. (2022). Abstract 5313: A BCL-XL PROTAC degrader DT2216 synergizes with KRASG12C inhibitors for effectively treating KRASG12C-mutated cancers. Cancer Research. 82(12_Supplement). 5313–5313. 1 indexed citations
7.
Thummuri, Dinesh, Dongwen Lv, Xingui Liu, et al.. (2021). Discovery of a Novel BCL-XL PROTAC Degrader with Enhanced BCL-2 Inhibition. Journal of Medicinal Chemistry. 64(19). 14230–14246. 42 indexed citations
8.
Yu, Jianfeng, et al.. (2020). Regulation of chicken vanin1 gene expression by peroxisome proliferators activated receptor α and miRNA-181a-5p. Animal Bioscience. 34(2). 172–184. 5 indexed citations
10.
Zhuang, Xu‐Xu, Guangyao Zheng, Nan Hua, et al.. (2018). Polyprenols mitigate cognitive dysfunction and neuropathology in the APP/PS1 mouse. Phytotherapy Research. 32(6). 1098–1107. 4 indexed citations
11.
Huang, Wenze, Lillian L. Tsai, Yulong Li, et al.. (2017). Widespread of horizontal gene transfer in the human genome. BMC Genomics. 18(1). 274–274. 19 indexed citations
12.
Sun, Yi, et al.. (2017). The ameliorative effects and underlying mechanisms of dopamine D1-like receptor agonist SKF38393 on Aβ 1–42 -induced cognitive impairment. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 81. 250–261. 16 indexed citations
13.
Hua, Nan, et al.. (2017). [The protection of hydrogen-rich saline on a rat dry eye model induced by scopolamine hydrobromide].. PubMed. 53(5). 363–372. 3 indexed citations
14.
Gong, Yuhang, et al.. (2017). Melatonin ameliorates Aβ1-42-induced Alzheimer's cognitive deficits in mouse model. Journal of Pharmacy and Pharmacology. 70(1). 70–80. 37 indexed citations
15.
Si, Shaoyan, Shujun Song, Nan Hua, et al.. (2016). [Combined simulated weightlessness and noise affect cell cycles and composition in rat thymocytes].. PubMed. 32(3). 304–7. 1 indexed citations
16.
Wei, Xiaoli, Hongliang Sun, Cheng Zhang, et al.. (2013). ZC88, a novel 4-amino piperidine analog, inhibits the growth of neuroblastoma cells through blocking hERG potassium channel. Cancer Biology & Therapy. 14(5). 450–457. 8 indexed citations
17.
Hua, Nan, Xiaoli Wei, Xiaoyan Liu, et al.. (2012). A Novel Muscarinic Antagonist R2HBJJ Inhibits Non-Small Cell Lung Cancer Cell Growth and Arrests the Cell Cycle in G0/G1. PLoS ONE. 7(12). e53170–e53170. 17 indexed citations
18.
Yamashita, Kenichiro, Taku Hashimoto, Nan Hua, et al.. (2005). Dimeric but not Monomeric Soluble CD40 Prolongs Allograft Survival and Generates Regulatory T Cells that Inhibit CTL Function. Transplantation. 80(11). 1614–1622. 11 indexed citations
19.
Hua, Nan, Kenichiro Yamashita, Taku Hashimoto, et al.. (2004). Gene Therapy-Mediated CD40L and CD28 Co-stimulatory Signaling Blockade plus Transient Anti-xenograft Antibody Suppression Induces Long-Term Acceptance of Cardiac Xenografts. Transplantation. 78(10). 1463–1470. 8 indexed citations
20.
Yamashita, Kenichiro, Megumi Takehara, Taku Hashimoto, et al.. (2003). Long-term acceptance of rat cardiac allografts on the basis of adenovirus mediated CD40Ig plus CTLA4Ig gene therapies. Transplantation. 76(7). 1089–1096. 29 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026