Naiqing Ding

816 total citations
17 papers, 592 citations indexed

About

Naiqing Ding is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Naiqing Ding has authored 17 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Immunology. Recurrent topics in Naiqing Ding's work include Monoclonal and Polyclonal Antibodies Research (6 papers), CAR-T cell therapy research (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Naiqing Ding is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), CAR-T cell therapy research (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Naiqing Ding collaborates with scholars based in China, Canada and United States. Naiqing Ding's co-authors include Fanyan Meng, Fangjun Chen, Baorui Liu, Zhengyun Zou, Jia Wei, Shujuan Zhou, Huizi Sha, Shu Su, Shiyao Du and Juan Du and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Naiqing Ding

17 papers receiving 587 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Naiqing Ding 303 251 238 126 77 17 592
Jin He 107 0.4× 281 1.1× 236 1.0× 47 0.4× 76 1.0× 25 676
Robert Rosenblatt 218 0.7× 145 0.6× 188 0.8× 42 0.3× 31 0.4× 22 698
Jinshan Zhang 240 0.8× 196 0.8× 160 0.7× 68 0.5× 40 0.5× 17 484
Roberto Ruiu 194 0.6× 178 0.7× 284 1.2× 65 0.5× 32 0.4× 18 600
Joost A.P. Rens 148 0.5× 94 0.4× 266 1.1× 197 1.6× 55 0.7× 15 596
Marco Bardelli 322 1.1× 469 1.9× 282 1.2× 63 0.5× 47 0.6× 16 737
Shiyao Du 221 0.7× 218 0.9× 131 0.6× 65 0.5× 42 0.5× 11 385
Kyle R. Cron 299 1.0× 584 2.3× 219 0.9× 85 0.7× 48 0.6× 10 794
Martine Migneault 225 0.7× 316 1.3× 298 1.3× 27 0.2× 89 1.2× 6 734
Dhouha Daassi 165 0.5× 201 0.8× 352 1.5× 92 0.7× 13 0.2× 7 573

Countries citing papers authored by Naiqing Ding

Since Specialization
Citations

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

Fields of papers citing papers by Naiqing Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naiqing Ding

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

All Works

17 of 17 papers shown
1.
Ding, Naiqing, Qin Liu, Juan Du, et al.. (2023). Individualised adjuvant immunotherapy with neoantigen‐reactive T cells for gastric signet‐ring cell carcinoma. Clinical & Translational Immunology. 12(9). e1467–e1467. 1 indexed citations
2.
Bei, Yuncheng, Yanhong Chu, Zhichen Sun, et al.. (2023). Membrane fusogenic nanoparticle‐based HLA‐peptide‐addressing universal T cell receptor‐engineered T (HAUL TCR‐T) cell therapy in solid tumor. Bioengineering & Translational Medicine. 8(6). e10585–e10585. 6 indexed citations
3.
Zhou, Chong, Qin Liu, Fanyan Meng, et al.. (2022). Modification of erythrocytes by internalizing Arg-Gly-Asp (iRGD) in boosting the curative effect of radiotherapy for gastric carcinoma. Journal of Gastrointestinal Oncology. 13(5). 2249–2258. 8 indexed citations
4.
Sun, Zhichen, Rutian Li, Yun Shen, et al.. (2022). In situ antigen modification-based target-redirected universal chimeric antigen receptor T (TRUE CAR-T) cell therapy in solid tumors. Journal of Hematology & Oncology. 15(1). 29–29. 20 indexed citations
5.
Han, Lu, Naiqing Ding, Li Li, et al.. (2022). Hepatoid adenocarcinoma of the duodenal papilla with hepatic metastases: A case report and literature review. Frontiers in Oncology. 12. 948892–948892. 3 indexed citations
6.
Zhou, Shujuan, Jia Wei, Naiqing Ding, et al.. (2021). Combination Therapy with iRGD-antiCD3 and PD-1 Blockade Enhances Antitumor Potency of Cord Blood-Derived T Cells. OncoTargets and Therapy. Volume 14. 835–844. 6 indexed citations
7.
Chen, Xiaotong, Fangcen Liu, Naiqing Ding, et al.. (2021). Identification of a Glypican-3 Binding Peptide From a Phage-Displayed Peptide Library for PET Imaging of Hepatocellular Carcinoma. Frontiers in Oncology. 11. 679336–679336. 11 indexed citations
8.
Zhou, Shujuan, Fanyan Meng, Shiyao Du, et al.. (2021). Bifunctional iRGD-anti-CD3 enhances antitumor potency of T cells by facilitating tumor infiltration and T-cell activation. Journal for ImmunoTherapy of Cancer. 9(5). e001925–e001925. 36 indexed citations
9.
Yang, Ju, Jing Yan, Jie Shao, et al.. (2019). <p>Immune-Mediated Antitumor Effect By VEGFR2 Selective Inhibitor For Gastric Cancer</p>. OncoTargets and Therapy. Volume 12. 9757–9765. 11 indexed citations
10.
Ding, Naiqing, Zhengyun Zou, Huizi Sha, et al.. (2019). iRGD synergizes with PD-1 knockout immunotherapy by enhancing lymphocyte infiltration in gastric cancer. Nature Communications. 10(1). 1336–1336. 94 indexed citations
11.
Chen, Fangjun, Zhengyun Zou, Juan Du, et al.. (2019). Neoantigen identification strategies enable personalized immunotherapy in refractory solid tumors. Journal of Clinical Investigation. 129(5). 2056–2070. 163 indexed citations
12.
Chen, Hong, Huizi Sha, Lianru Zhang, et al.. (2018). Lipid insertion enables targeted functionalization of paclitaxel-loaded erythrocyte membrane nanosystem by tumor-penetrating bispecific recombinant protein. International Journal of Nanomedicine. Volume 13. 5347–5359. 76 indexed citations
13.
Ji, Fu-Zhi, Huizi Sha, Fanyan Meng, et al.. (2018). Tumor‑penetrating peptide fused EGFR single‑domain antibody enhances radiation responses following EGFR inhibition in gastric cancer. Oncology Reports. 40(3). 1583–1591. 6 indexed citations
14.
Chen, Fangjun, Zhengyun Zou, Juan Du, et al.. (2017). Feasible and efficient identification of neoantigens for personalized cancer immunotherapy in advanced refractory epithelial cancer patients.. Journal of Clinical Oncology. 35(15_suppl). 3046–3046. 34 indexed citations
15.
Ding, Naiqing, Shu Su, Fanyan Meng, et al.. (2017). Tumor-penetrating peptide iRGD conjugation effectively potentiates intratumor T cell infiltration.. Journal of Clinical Oncology. 35(15_suppl). e14543–e14543. 1 indexed citations
16.
Su, Shu, Zhengyun Zou, Fangjun Chen, et al.. (2016). CRISPR-Cas9-mediated disruption of PD-1 on human T cells for adoptive cellular therapies of EBV positive gastric cancer. OncoImmunology. 6(1). e1249558–e1249558. 81 indexed citations
17.
Wang, Xueting, Yu Chen, Naiqing Ding, et al.. (2013). Microcystin (-LR) induced testicular cell apoptosis via up-regulating apoptosis-related genes in vivo. Food and Chemical Toxicology. 60(4). 309–317. 35 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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