Qijing Li

1.7k total citations
28 papers, 1.3k citations indexed

About

Qijing Li is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Qijing Li has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 9 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Qijing Li's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (7 papers). Qijing Li is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (7 papers). Qijing Li collaborates with scholars based in United States, China and Sweden. Qijing Li's co-authors include Mark M. Davis, Johannes B. Huppa, Morgan Huse, Michelle Krogsgaard, Cenk Sumen, Lin He, Virginie Olive, Yueh‐hsiu Chien, Jianming Xie and Salvatore Valitutti and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Qijing Li

27 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
Qijing Li United States 14 758 527 291 265 97 28 1.3k
Roland Geisberger Austria 18 526 0.7× 388 0.7× 417 1.4× 126 0.5× 88 0.9× 49 1.1k
Wan‐Lin Lo United States 17 901 1.2× 565 1.1× 367 1.3× 161 0.6× 96 1.0× 24 1.5k
Ihn Kyung Jang United States 18 1.1k 1.5× 796 1.5× 454 1.6× 228 0.9× 68 0.7× 31 2.0k
Lars Rønn Olsen Denmark 22 397 0.5× 676 1.3× 282 1.0× 167 0.6× 107 1.1× 51 1.3k
Natalia Arenas-Ramirez Switzerland 12 541 0.7× 587 1.1× 464 1.6× 117 0.4× 81 0.8× 12 1.2k
Guideng Li China 21 841 1.1× 947 1.8× 482 1.7× 305 1.2× 137 1.4× 43 1.8k
Maren Kaufmann Germany 23 544 0.7× 928 1.8× 453 1.6× 234 0.9× 48 0.5× 63 1.7k
Becky Yang United States 11 495 0.7× 538 1.0× 249 0.9× 192 0.7× 133 1.4× 15 984
Thomas Engleitner Germany 19 690 0.9× 669 1.3× 422 1.5× 154 0.6× 134 1.4× 41 1.4k
Timothy S. Fisher United States 18 551 0.7× 707 1.3× 462 1.6× 135 0.5× 107 1.1× 29 1.6k

Countries citing papers authored by Qijing Li

Since Specialization
Citations

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

Fields of papers citing papers by Qijing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qijing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qijing Li. A scholar is included among the top collaborators of Qijing Li 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 Qijing Li. Qijing Li 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.
Li, Qijing, et al.. (2024). A machine learning based approach to standardizing tooth color and shade recommendations. Journal of Prosthetic Dentistry. 134(6). 2543–2551.
2.
Liang, Yaosi, Christopher C. Pan, Tao Yin, et al.. (2023). Branched‐Chain Amino Acid Accumulation Fuels the Senescence‐Associated Secretory Phenotype. Advanced Science. 11(2). e2303489–e2303489. 13 indexed citations
3.
Zhang, Liangbo, et al.. (2022). Does platform type matter? A semantic analysis of user attitude formation on online platforms. Frontiers in Psychology. 13. 1005429–1005429. 2 indexed citations
4.
Coelho, Ana, Meng Liu, Qijing Li, et al.. (2022). NCF4 dependent intracellular reactive oxygen species regulate plasma cell formation. Redox Biology. 56. 102422–102422. 12 indexed citations
5.
Li, Qijing, et al.. (2022). Two major genes associated with autoimmune arthritis, Ncf1 and Fcgr2b, additively protect mice by strengthening T cell tolerance. Cellular and Molecular Life Sciences. 79(9). 482–482. 9 indexed citations
6.
Zhong, Jianghong, Qijing Li, & Rikard Holmdahl. (2021). Natural Loss-of-Function Mutations in Qa2 and NCF1 Cause the Spread of Mannan-Induced Psoriasis. Journal of Investigative Dermatology. 141(7). 1765–1771.e4. 9 indexed citations
7.
Zhong, Jianghong, et al.. (2021). Neutrophil-derived reactive oxygen species promote tumor colonization. Communications Biology. 4(1). 865–865. 34 indexed citations
8.
Xie, Jie, Qijing Li, Kai Hu, & Mingying Zhu. (2021). Classical and Deep Learning Methods for Speech Command Recognition. 41–45. 3 indexed citations
9.
Zhu, Kun, Chenfeng He, Siqi Liu, et al.. (2020). Lineage Tracking the Generation of T Regulatory Cells From Microbial Activated T Effector Cells in Naïve Mice. Frontiers in Immunology. 10. 3109–3109. 5 indexed citations
10.
Zhou, Jie, Shuo Huang, Zhongyu Wang, et al.. (2019). Targeting EZH2 histone methyltransferase activity alleviates experimental intestinal inflammation. Nature Communications. 10(1). 2427–2427. 116 indexed citations
11.
Chong, Mengyang, Tao Yin, Rui Chen, et al.. (2018). CD 36 initiates the secretory phenotype during the establishment of cellular senescence. EMBO Reports. 19(6). 54 indexed citations
12.
Miao, Yuxuan, Pradeep Bist, Qing Zhao, et al.. (2017). Collaboration between Distinct Rab Small GTPase Trafficking Circuits Mediates Bacterial Clearance from the Bladder Epithelium. Cell Host & Microbe. 22(3). 330–342.e4. 25 indexed citations
13.
Zhu, Ying, Tao Li, Gang Chen, et al.. (2017). Identification of a serum microRNA expression signature for detection of lung cancer, involving miR-23b, miR-221, miR-148b and miR-423-3p. Lung Cancer. 114. 6–11. 62 indexed citations
14.
Zha, Haoran, Xiao Han, Ying Zhu, et al.. (2017). Blocking C5aR signaling promotes the anti-tumor efficacy of PD-1/PD-L1 blockade. OncoImmunology. 6(10). e1349587–e1349587. 69 indexed citations
15.
Long, Haixia, Zhongyu Wang, Junying Chen, et al.. (2015). microRNA-214 promotes epithelial-mesenchymal transition and metastasis in lung adenocarcinoma by targeting the suppressor-of-fused protein (Sufu). Oncotarget. 6(36). 38705–38718. 45 indexed citations
16.
Huang, Jun, Mario Brameshuber, Xun Zeng, et al.. (2013). A Single Peptide-Major Histocompatibility Complex Ligand Triggers Digital Cytokine Secretion in CD4+ T Cells. Immunity. 39(5). 846–857. 269 indexed citations
17.
18.
Davis, Mark M., Michelle Krogsgaard, Morgan Huse, et al.. (2007). T Cells as a Self-Referential, Sensory Organ. Annual Review of Immunology. 25(1). 681–695. 116 indexed citations
19.
Krogsgaard, Michelle, Qijing Li, Cenk Sumen, et al.. (2005). Agonist/endogenous peptide–MHC heterodimers drive T cell activation and sensitivity. Nature. 434(7030). 238–243. 281 indexed citations
20.
Altstein, Miriam, et al.. (2003). Histochemical localization of the PBAN receptor in the pheromone gland of Heliothis peltigera. Peptides. 24(9). 1335–1347. 11 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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