Jun Ding

12.3k total citations
191 papers, 4.9k citations indexed

About

Jun Ding is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Jun Ding has authored 191 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 19 papers in Immunology and 18 papers in Biomedical Engineering. Recurrent topics in Jun Ding's work include Single-cell and spatial transcriptomics (20 papers), RNA modifications and cancer (12 papers) and Epigenetics and DNA Methylation (12 papers). Jun Ding is often cited by papers focused on Single-cell and spatial transcriptomics (20 papers), RNA modifications and cancer (12 papers) and Epigenetics and DNA Methylation (12 papers). Jun Ding collaborates with scholars based in China, United States and Canada. Jun Ding's co-authors include Yan Xu, Ling‐Yun Wu, Gary D. Smith, Kuo‐Chen Chou, Ziv Bar‐Joseph, Haiyan Hu, Xiaoman Li, Yi Zhang, Zhongjun J. Wu and Zengsheng Chen and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jun Ding

179 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Ding China 40 2.6k 975 496 476 367 191 4.9k
Aleš Hampl Czechia 35 2.8k 1.1× 601 0.6× 395 0.8× 520 1.1× 213 0.6× 159 4.6k
Juan Ye China 37 1.4k 0.6× 871 0.9× 479 1.0× 332 0.7× 366 1.0× 233 5.4k
Shaghayegh Haghjooy Javanmard Iran 34 1.5k 0.6× 691 0.7× 518 1.0× 593 1.2× 338 0.9× 317 5.0k
Tae Hee Kim South Korea 41 2.1k 0.8× 1.1k 1.1× 412 0.8× 219 0.5× 355 1.0× 264 6.3k
Yong Tang China 44 3.1k 1.2× 1.6k 1.6× 427 0.9× 382 0.8× 277 0.8× 258 6.1k
Jin Chen China 40 2.3k 0.9× 945 1.0× 926 1.9× 848 1.8× 622 1.7× 269 5.9k
Yongming Wang China 38 2.9k 1.1× 799 0.8× 345 0.7× 245 0.5× 273 0.7× 190 5.4k
Lei Ye China 39 2.7k 1.0× 759 0.8× 1.6k 3.3× 558 1.2× 391 1.1× 319 6.2k
Ping Zhu China 41 2.4k 0.9× 727 0.7× 691 1.4× 648 1.4× 442 1.2× 254 5.7k
Li Huang China 38 2.1k 0.8× 286 0.3× 375 0.8× 626 1.3× 419 1.1× 269 4.9k

Countries citing papers authored by Jun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ding. A scholar is included among the top collaborators of Jun 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 Jun Ding. Jun 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.
He, Dong, et al.. (2024). Experimental study on mid-infrared CO transition lines broadened by N2, He, and H2 at elevated temperatures. Measurement. 242. 116264–116264. 1 indexed citations
2.
Ma, Yongjing, Lu Wang, Xiaodan Fan, et al.. (2024). Dissection of intratumor microbiome–host interactions at the single-cell level in lung cancer. SHILAP Revista de lepidopterología. 3(8). 391–406. 4 indexed citations
4.
Smith, Matthew D., Thomas Garton, Alexis Allot, et al.. (2024). Ependymal cells undergo astrocyte‐like reactivity in response to neuroinflammation. Journal of Neurochemistry. 168(10). 3449–3466. 5 indexed citations
5.
Ding, Jun, et al.. (2023). Fault Diagnosis of Rolling Bearings in Primary Mine Fans under Sample Imbalance Conditions. Entropy. 25(8). 1233–1233. 11 indexed citations
6.
Shao, Fang, Jun Ding, Yongling Ning, et al.. (2023). Whole β-glucan particle attenuates AOM/DSS-induced colorectal tumorigenesis in mice via inhibition of intestinal inflammation. Frontiers in Pharmacology. 14. 1017475–1017475. 7 indexed citations
7.
Shao, Fang, Jie Pan, Jun Ding, et al.. (2023). Sulforaphane Attenuates AOM/DSS-Induced Colorectal Tumorigenesis in Mice via Inhibition of Intestinal Inflammation. Nutrition and Cancer. 76(1). 137–148. 4 indexed citations
8.
Pernet, Erwan, Angela Nguyen, Nargis Khan, et al.. (2023). Neonatal imprinting of alveolar macrophages via neutrophil-derived 12-HETE. Nature. 614(7948). 530–538. 39 indexed citations
9.
Bai, Yu, Lei Xia, Jie Pan, et al.. (2022). Oral administration of a whole glucan particle (WGP)-based therapeutic cancer vaccine targeting macrophages inhibits tumor growth. Cancer Immunology Immunotherapy. 71(8). 2007–2028. 14 indexed citations
10.
Ding, Jun, David Earl Hostallero, Gregory J. Fonseca, et al.. (2021). A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genes’ interactions points to Neutrophil extracellular traps as mediators of thrombosis in COVID-19. PLoS Computational Biology. 17(3). e1008810–e1008810. 12 indexed citations
11.
Han, Zhen, Levon Halabelian, Xiangkun Yang, et al.. (2020). Identification of lysine isobutyrylation as a new histone modification mark. Nucleic Acids Research. 49(1). 177–189. 48 indexed citations
12.
Li, Dongshunyi, Jun Ding, & Ziv Bar‐Joseph. (2020). Identifying signaling genes in spatial single-cell expression data. Bioinformatics. 37(7). 968–975. 34 indexed citations
13.
Ning, Yongling, Jun Ding, Xiao Sun, et al.. (2020). HDAC9 deficiency promotes tumor progression by decreasing the CD8+ dendritic cell infiltration of the tumor microenvironment. Journal for ImmunoTherapy of Cancer. 8(1). e000529–e000529. 30 indexed citations
14.
Wang, Yu, Yuan Qian, Wei Feng, et al.. (2019). Targeted delivery of antibiotics to the infected pulmonary tissues using ROS-responsive nanoparticles. Journal of Nanobiotechnology. 17(1). 103–103. 108 indexed citations
15.
Chen, Yingpin, et al.. (2018). Fault Severity Monitoring of Rolling Bearings Based on Texture Feature Extraction of Sparse Time–Frequency Images. Applied Sciences. 8(9). 1538–1538. 23 indexed citations
16.
Ding, Jun, Yongling Ning, Yu Bai, et al.. (2018). β-Glucan induces autophagy in dendritic cells and influences T-cell differentiation. Medical Microbiology and Immunology. 208(1). 39–48. 25 indexed citations
17.
Zhang, Tao, Lei Wang, Chong Ma, et al.. (2017). BODIPY-containing nanoscale metal–organic frameworks as contrast agents for computed tomography. Journal of Materials Chemistry B. 5(12). 2330–2336. 79 indexed citations
18.
Ding, Jun, et al.. (2017). Predicting Performance in a Small Private Online Course.. Educational Data Mining. 2 indexed citations
19.
Xu, Yan, Li Li, Jun Ding, et al.. (2016). Gly-PseAAC: Identifying protein lysine glycation through sequences. Gene. 602. 1–7. 36 indexed citations
20.
Liu, Xiuqin, Jun Ding, & Fuzhou Gong. (2014). piRNA identification based on motif discovery. Molecular BioSystems. 10(12). 3075–3080. 17 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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