Nan Ding

2.4k total citations · 1 hit paper
84 papers, 1.8k citations indexed

About

Nan Ding is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Nan Ding has authored 84 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Cancer Research. Recurrent topics in Nan Ding's work include Effects of Radiation Exposure (13 papers), DNA Repair Mechanisms (5 papers) and Cancer Cells and Metastasis (5 papers). Nan Ding is often cited by papers focused on Effects of Radiation Exposure (13 papers), DNA Repair Mechanisms (5 papers) and Cancer Cells and Metastasis (5 papers). Nan Ding collaborates with scholars based in China, United States and Japan. Nan Ding's co-authors include Guangming Zhou, Omar S. Desouky, Jinpeng He, Yujian He, Qian Cao, Junrui Hua, Jufang Wang, Wenjun Wei, Shiming Fang and Yuanyuan Yang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Nan Ding

74 papers receiving 1.8k citations

Hit Papers

Exploring the impact of urban form on urban land use effi... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Ding China 22 780 295 291 222 193 84 1.8k
Hossein Mozdarani Iran 25 817 1.0× 572 1.9× 692 2.4× 279 1.3× 278 1.4× 223 2.3k
Isabelle R. Miousse United States 24 809 1.0× 338 1.1× 193 0.7× 248 1.1× 115 0.6× 61 1.8k
Yujing Zhang China 21 583 0.7× 61 0.2× 224 0.8× 157 0.7× 183 0.9× 89 2.1k
Juan Ren China 29 1.3k 1.7× 124 0.4× 533 1.8× 291 1.3× 183 0.9× 166 3.3k
Makoto Akashi Japan 28 851 1.1× 690 2.3× 255 0.9× 244 1.1× 78 0.4× 97 2.7k
Xin Xu United States 31 1.2k 1.5× 227 0.8× 179 0.6× 164 0.7× 291 1.5× 118 2.9k
Huiqin Guo China 31 1.1k 1.4× 75 0.3× 509 1.7× 277 1.2× 205 1.1× 115 2.8k
Wei‐Ting Liao Taiwan 25 790 1.0× 74 0.3× 252 0.9× 274 1.2× 158 0.8× 127 2.3k
Zhaojun Li China 21 681 0.9× 100 0.3× 371 1.3× 245 1.1× 180 0.9× 153 2.0k
Si Liu China 29 1.3k 1.6× 119 0.4× 535 1.8× 210 0.9× 145 0.8× 207 3.2k

Countries citing papers authored by Nan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Nan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Ding. A scholar is included among the top collaborators of Nan Ding 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 Ding. Nan Ding 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.
2.
Yin, Dongming, Yuxing Gao, Ying Wang, et al.. (2025). Tailoring AB 2 Alloys for Enhanced Solid‐State Hydrogen Storage: Unraveling Compositional Effects on Kinetics, Diffusion, and Thermodynamics. Advanced Functional Materials. 36(8). 3 indexed citations
3.
Dong, Huijun, et al.. (2025). A LASSO-based integrative model of serum biomarkers and gene polymorphisms for predicting poor sepsis prognosis. Biomarkers in Medicine. 19(20). 1009–1018.
4.
Ding, Nan, et al.. (2025). Constructing a logistic regression-based prediction model for subsequent early pregnancy loss in women with pregnancy loss. European journal of medical research. 30(1). 99–99. 1 indexed citations
6.
Mader, W. F., Wei Li, Junrui Hua, et al.. (2024). YAP/Aurora A-mediated ciliogenesis regulates ionizing radiation-induced senescence via Hedgehog pathway in tumor cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(4). 167062–167062.
7.
Zhang, Miaomiao, Xiaopeng Guo, Xiang Zhou, et al.. (2024). Improvement of Saccharomyces cerevisiae strain tolerance to vanillin through heavy ion radiation combined with adaptive laboratory evolution. Journal of Biotechnology. 394. 112–124. 1 indexed citations
8.
Xiang, Zhou, Nan Ding, Meihan Liu, et al.. (2024). Regulating the metabolic flux of pyruvate dehydrogenase bypass to enhance lipid production in Saccharomyces cerevisiae. Communications Biology. 7(1). 1399–1399. 7 indexed citations
9.
Yang, Dongmei, et al.. (2023). Analysis of Risk Factors Associated with Early Childhood Caries. Risk Management and Healthcare Policy. Volume 16. 2369–2378. 4 indexed citations
10.
Liu, Liang, Qichao Wu, Yadong Liu, et al.. (2023). Conditioned medium from human dental pulp stem cells treats spinal cord injury by inhibiting microglial pyroptosis. Neural Regeneration Research. 19(5). 1105–1111. 14 indexed citations
11.
Liu, Zhiwei, Yiming Zhang, Liying Zhang, et al.. (2022). Duality of Interactions Between TGF-β and TNF-α During Tumor Formation. Frontiers in Immunology. 12. 810286–810286. 54 indexed citations
12.
Ding, Nan, Hong Ru, Rubing Liu, et al.. (2021). The lupus autoantigen La/Ssb is an Xist -binding protein involved in Xist folding and cloud formation. Nucleic Acids Research. 49(20). 11596–11613. 4 indexed citations
13.
Yang, Pengfei, Xiu Feng, Tianyi Zhang, et al.. (2021). Ionizing radiation downregulates estradiol synthesis via endoplasmic reticulum stress and inhibits the proliferation of estrogen receptor-positive breast cancer cells. Cell Death and Disease. 12(11). 1029–1029. 8 indexed citations
14.
He, Zhangping, Jianye Wang, Simin Lu, et al.. (2021). The Chlamydia psittaci Inclusion Membrane Protein 0556 Inhibits Human Neutrophils Apoptosis Through PI3K/AKT and NF-κB Signaling Pathways. Frontiers in Immunology. 12. 694573–694573. 10 indexed citations
15.
Zhu, Xi, Yuanzhen Suo, Yuting Fu, et al.. (2021). In vivo flow cytometry reveals a circadian rhythm of circulating tumor cells. Light Science & Applications. 10(1). 110–110. 56 indexed citations
16.
Zhang, Liying, Ting Zhou, Yiming Zhang, et al.. (2020). Guiqi Baizhu Decoction Alleviates Radiation Inflammation in Rats by Modulating the Composition of the Gut Microbiota. Evidence-based Complementary and Alternative Medicine. 2020(1). 9017854–9017854. 20 indexed citations
17.
Chen, She-Jun, et al.. (2014). [Polychlorinated biphenyls in house dust at an e-waste site and urban site in the Pearl River Delta, southern China: sources and human exposure and health risks].. PubMed. 35(8). 3066–72. 4 indexed citations
18.
Wang, Fengling, Zhitong Bing, Yanan Zhang, et al.. (2013). Quantitative proteomic analysis for radiation-induced cell cycle suspension in 92-1 melanoma cell line. Journal of Radiation Research. 54(4). 649–662. 11 indexed citations
19.
Zhu, Jinhan, Betsy M. Sutherland, Wenli Hu, et al.. (2011). An optimized colony forming assay for low-dose- radiation cell survival measurement. 2(8). 5 indexed citations
20.
Usikalu, M. R., et al.. (2010). Genotoxic effects of low 2.45 GHz microwave radiation exposures on Sprague Dawley rats. 2(9). 189–197. 8 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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