Qing Ding

1.7k total citations
39 papers, 1.3k citations indexed

About

Qing Ding is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Qing Ding has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 12 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Qing Ding's work include Galectins and Cancer Biology (7 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (4 papers). Qing Ding is often cited by papers focused on Galectins and Cancer Biology (7 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (4 papers). Qing Ding collaborates with scholars based in China, United States and Singapore. Qing Ding's co-authors include David M. Rothstein, Melissa Y. Yeung, Nader Najafian, Qiang Zeng, Mohamed H. Sayegh, Geoffrey Camirand, Geetha Chalasani, Hisaya Akiba, Hideo Yagita∥ and Allan Tsung and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Qing Ding

35 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Ding China 16 620 375 241 174 159 39 1.3k
Karina Pino‐Lagos Chile 20 1.9k 3.1× 651 1.7× 174 0.7× 324 1.9× 125 0.8× 44 2.6k
Behnam Sadeghi Sweden 21 286 0.5× 598 1.6× 210 0.9× 312 1.8× 118 0.7× 67 1.6k
Masahiro Shinoda Japan 22 203 0.3× 353 0.9× 830 3.4× 579 3.3× 373 2.3× 114 2.0k
Chandra Nataraj United States 17 571 0.9× 285 0.8× 231 1.0× 233 1.3× 196 1.2× 26 1.5k
Jiqiao Yang China 19 174 0.3× 339 0.9× 187 0.8× 278 1.6× 85 0.5× 57 1.1k
Oskar Hällgren Sweden 27 243 0.4× 573 1.5× 348 1.4× 152 0.9× 199 1.3× 54 1.9k
Julia Hentschel Germany 18 453 0.7× 482 1.3× 151 0.6× 153 0.9× 322 2.0× 64 1.8k
Harald Thidemann Johansen Norway 22 247 0.4× 445 1.2× 133 0.6× 256 1.5× 103 0.6× 72 1.4k
Hao Yin China 19 183 0.3× 1.0k 2.7× 218 0.9× 142 0.8× 167 1.1× 50 1.7k
Khadija Rafiq United States 21 550 0.9× 458 1.2× 84 0.3× 187 1.1× 123 0.8× 41 1.3k

Countries citing papers authored by Qing Ding

Since Specialization
Citations

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

Fields of papers citing papers by Qing Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Ding. A scholar is included among the top collaborators of Qing 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 Qing Ding. Qing 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.
Liu, Qing, Xiaoyu Zhang, Siyu Wang, et al.. (2025). BPS causes abnormal blastocyst development by inhibiting cell proliferation. Ecotoxicology and Environmental Safety. 295. 118115–118115.
2.
Zhang, Shangrong, Qin Du, Zhipeng Lin, et al.. (2025). BPP disrupts spermatogenesis via mitochondrial-ER stress-mediated autophagic flux blockade in mice. Ecotoxicology and Environmental Safety. 307. 119392–119392.
3.
4.
Qian, Heying, et al.. (2024). TIM proteins and microRNAs: distinct impact and promising interactions on transplantation immunity. Frontiers in Immunology. 15. 1500228–1500228. 1 indexed citations
5.
Kim, Chiho, Xudong Wang, Zhengshuai Liu, et al.. (2024). Induced degradation of lineage-specific oncoproteins drives the therapeutic vulnerability of small cell lung cancer to PARP inhibitors. Science Advances. 10(3). eadh2579–eadh2579. 6 indexed citations
6.
Mohib, Kanishka, David M. Rothstein, & Qing Ding. (2021). Characterization and Activity of TIM-1 and IL-10-Reporter Expressing Regulatory B Cells. Methods in molecular biology. 2270. 179–202. 5 indexed citations
7.
Wang, Xudong, Rongkuan Hu, Qing Ding, et al.. (2019). Subtype-specific secretomic characterization of pulmonary neuroendocrine tumor cells. Nature Communications. 10(1). 3201–3201. 28 indexed citations
8.
Mohib, Kanishka, Aravind Cherukuri, Yu Zhou, et al.. (2019). Antigen-dependent interactions between regulatory B cells and T cells at the T:B border inhibit subsequent T cell interactions with DCs. American Journal of Transplantation. 20(1). 52–63. 35 indexed citations
9.
Wang, Shuai, Jungsoo Han, Peng Li, et al.. (2019). Uncoupling of PARP1 trapping and inhibition using selective PARP1 degradation. Nature Chemical Biology. 15(12). 1223–1231. 73 indexed citations
10.
Cherukuri, Aravind, Qing Ding, Akhil Sharma, Kanishka Mohib, & David M. Rothstein. (2018). Regulatory and Effector B Cells: A New Path Toward Biomarkers and Therapeutic Targets to Improve Transplant Outcomes?. Clinics in Laboratory Medicine. 39(1). 15–29. 8 indexed citations
11.
Wang, Hui, et al.. (2018). MicroRNA-21 silencing prolongs islet allograft survival by inhibiting Th17 cells. International Immunopharmacology. 66. 274–281. 12 indexed citations
12.
Yang, Yan, et al.. (2015). Transforming Growth Factor Beta-Induced Is Essential for Endotoxin Tolerance Induced by a Low Dose of Lipopolysaccharide in Human Peripheral Blood Mononuclear Cells.. SHILAP Revista de lepidopterología. 14(3). 321–30. 10 indexed citations
13.
Li, Xiaodan, Yuanyan Hu, Yong Wu, et al.. (2015). Anti-hypersensitive effect of intramuscular administration of αO-conotoxin GeXIVA[1,2] and GeXIVA[1,4] in rats of neuropathic pain. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 66. 112–119. 36 indexed citations
14.
Yeung, Melissa Y., Qing Ding, Craig R. Brooks, et al.. (2015). TIM-1 Signaling Is Required for Maintenance and Induction of Regulatory B Cells. American Journal of Transplantation. 15(4). 942–953. 77 indexed citations
15.
Wu, Jinglei, Qing Ding, Yihui Huang, et al.. (2015). An injectable extracellular matrix derived hydrogel for meniscus repair and regeneration. Acta Biomaterialia. 16. 49–59. 157 indexed citations
16.
Ding, Qing, Shiyu Li, Zhenyou Jiang, et al.. (2015). HIV-1 Coreceptor CXCR4 Antagonists Promote Clonal Expansion of Viral Epitope-Specific CD8+ T Cells During Acute SIV Infection in Rhesus Monkeys In Vivo. JAIDS Journal of Acquired Immune Deficiency Syndromes. 69(2). 145–153. 2 indexed citations
17.
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19.
Ding, Qing, Melissa Y. Yeung, Geoffrey Camirand, et al.. (2011). Regulatory B cells are identified by expression of TIM-1 and can be induced through TIM-1 ligation to promote tolerance in mice. Journal of Clinical Investigation. 121(9). 3645–3656. 367 indexed citations
20.
Yang, Min, Shengjun Wang, Jie Ma, et al.. (2008). Tat-mediated Intracellular Delivery of T-bet Protein into THP-1 Cells can Induce Th1-Type Response. Immunological Investigations. 37(2). 97–111. 6 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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