Kai Ding

1.5k total citations
72 papers, 1.2k citations indexed

About

Kai Ding is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Kai Ding has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 22 papers in Hematology and 19 papers in Immunology. Recurrent topics in Kai Ding's work include Multiple Myeloma Research and Treatments (11 papers), Immune Cell Function and Interaction (11 papers) and Acute Myeloid Leukemia Research (8 papers). Kai Ding is often cited by papers focused on Multiple Myeloma Research and Treatments (11 papers), Immune Cell Function and Interaction (11 papers) and Acute Myeloid Leukemia Research (8 papers). Kai Ding collaborates with scholars based in China, United States and Australia. Kai Ding's co-authors include Rong Fu, Zhaoyun Liu, Yige Zhang, Wei‐Fen Xie, Hua Fei, Wenge Ding, Jia Song, Xin Zhao, Ji Wu and Chen‐Hong Ding and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Kai Ding

66 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Ding China	19	641	312	242	222	131	72	1.2k
Anastasia Chillà Italy	23	667 1.0×	336 1.1×	234 1.0×	265 1.2×	85 0.6×	45	1.1k
Dalila Lucíola Zanette Brazil	23	864 1.3×	570 1.8×	244 1.0×	220 1.0×	187 1.4×	86	1.7k
Yingmin Liang China	19	757 1.2×	252 0.8×	448 1.9×	265 1.2×	106 0.8×	54	1.4k
Yasushi Saga Japan	22	670 1.0×	251 0.8×	200 0.8×	354 1.6×	82 0.6×	66	1.4k
Alessandro Gulino Italy	21	396 0.6×	151 0.5×	425 1.8×	288 1.3×	110 0.8×	53	1.3k
Donald W. Coulter United States	19	679 1.1×	322 1.0×	129 0.5×	228 1.0×	60 0.5×	79	1.2k
Denis M. Schewe Germany	18	653 1.0×	316 1.0×	308 1.3×	632 2.8×	242 1.8×	54	1.6k
Majid Shahbazi Iran	13	463 0.7×	161 0.5×	227 0.9×	271 1.2×	41 0.3×	72	1.1k
Henrik J. Jürgensen Denmark	18	322 0.5×	282 0.9×	343 1.4×	290 1.3×	61 0.5×	25	1.1k

Countries citing papers authored by Kai Ding

Since Specialization

Citations

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

Fields of papers citing papers by Kai Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Ding. A scholar is included among the top collaborators of Kai 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 Kai Ding. Kai Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Zhaoyun, et al.. (2025). Chimeric antigen receptor T cell therapy based on stem cell‐like memory T cells enhances anti‐tumour effects in multiple myeloma. Clinical and Translational Medicine. 15(3). e70264–e70264.

Liu, Zhaoyun, Xiaohan Liu, Jingyi Ma, et al.. (2025). Harnessing Targeted Photodynamic Therapy to Synergistically Activate T Cell and NK Cell Responses in Multiple Myeloma. Advanced Materials. 38(18). e18663–e18663.

Liu, Zhaoyun, Hongli Shen, Hui Liu, et al.. (2024). Immune profiles to predict bortezomib-based treatment response for multiple myeloma patients. International Immunopharmacology. 130. 111640–111640.

Ding, Kai, et al.. (2024). Prevalence of Diabetic Retinopathy Among Native Americans with Diabetes at a Tribal Clinic in Oklahoma. Journal of Racial and Ethnic Health Disparities. 13(1). 432–439. 1 indexed citations

Liu, Zhaoyun, Hao Wang, Hui Liu, et al.. (2024). Targeting NKG2D/NKG2DL axis in multiple myeloma therapy. Cytokine & Growth Factor Reviews. 76. 1–11. 11 indexed citations

Wang, Honglei, Hui Liu, Liyan Li, et al.. (2023). Long noncoding RNA FAM157C contributes to clonal proliferation in paroxysmal nocturnal hemoglobinuria. Annals of Hematology. 102(2). 299–309. 2 indexed citations

Zhao, Yongmei, Yan Zhu, Kai Ding, Shanshan Li, & Tianqing Liu. (2023). Biomimetic nanovesicle co-delivery system impairs energy metabolism for cancer treatment. Journal of Nanobiotechnology. 21(1). 299–299. 9 indexed citations

Cao, Xudong, Taotao Li, Kai Ding, et al.. (2023). Endothelial TIE1 Restricts Angiogenic Sprouting to Coordinate Vein Assembly in Synergy With Its Homologue TIE2. Arteriosclerosis Thrombosis and Vascular Biology. 43(8). e323–e338. 4 indexed citations

Xu, Wenping, Kai Ding, Chen‐Hong Ding, et al.. (2021). Deletion ofSox9in the liver leads to hepatic cystogenesis in mice by transcriptionally downregulatingSec63. The Journal of Pathology. 254(1). 57–69. 6 indexed citations

10.

Fei, Hua, et al.. (2020). The correlation between the Th17/Treg cell balance and bone health. Immunity & Ageing. 17(1). 30–30. 99 indexed citations

11.

Tasdemir, Nilgun, Kai Ding, Kevin M. Levine, et al.. (2020). Proteomic and transcriptomic profiling identifies mediators of anchorage-independent growth and roles of inhibitor of differentiation proteins in invasive lobular carcinoma. Scientific Reports. 10(1). 11487–11487. 14 indexed citations

12.

Liu, Mingyang, Yu‐Qing Zhang, Jingxuan Yang, et al.. (2019). ZIP4 Increases Expression of Transcription Factor ZEB1 to Promote Integrin α3β1 Signaling and Inhibit Expression of the Gemcitabine Transporter ENT1 in Pancreatic Cancer Cells. Gastroenterology. 158(3). 679–692.e1. 109 indexed citations

13.

Sarkisian, Steven R., et al.. (2019). 360° ab-interno trabeculotomy in refractory primary open-angle glaucoma. Clinical ophthalmology. Volume 13. 161–168. 30 indexed citations

14.

Wen, Liangzhi, Kai Ding, Ze-Rui Wang, et al.. (2018). SHP-1 Acts as a Tumor Suppressor in Hepatocarcinogenesis and HCC Progression. Cancer Research. 78(16). 4680–4691. 68 indexed citations

15.

Zhang, Xinyu, Lei Han, Huifang Zong, et al.. (2018). Enhanced production of anti-PD1 antibody in CHO cells through transient co-transfection with anti-apoptotic genes Bcl-x L and Mcl-1. Bioprocess and Biosystems Engineering. 41(5). 633–640. 19 indexed citations

16.

Huang, Teng, Lei Yin, Jian Wu, et al.. (2017). TNFAIP3 inhibits migration and invasion in nasopharyngeal carcinoma by suppressing epithelial mesenchymal transition. Neoplasma. 64(3). 389–394. 17 indexed citations

17.

Zhang, Tian, Xin Yuan, Chunyan Liu, et al.. (2017). Decreased TIM-3 expression of peripheral blood natural killer cells in patients with severe aplastic anemia. Cellular Immunology. 318. 17–22. 11 indexed citations

18.

Huang, Teng, Li Yin, Jing Wu, et al.. (2016). MicroRNA-19b-3p regulates nasopharyngeal carcinoma radiosensitivity by targeting TNFAIP3/NF-κB axis. Journal of Experimental & Clinical Cancer Research. 35(1). 188–188. 69 indexed citations

19.

Ding, Kai, et al.. (2016). Effects of decitabine on megakaryocyte maturation in patients with myelodysplastic syndromes. Oncology Letters. 11(4). 2347–2352. 13 indexed citations

20.

Ding, Kai, et al.. (2012). PRAME Gene Expression in Acute Leukemia and Its Clinical Significance. SHILAP Revista de lepidopterología. 13 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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