Jing Qi

582 total citations
9 papers, 336 citations indexed

About

Jing Qi is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jing Qi has authored 9 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jing Qi's work include Pulmonary Hypertension Research and Treatments (3 papers), Cancer-related molecular mechanisms research (3 papers) and RNA modifications and cancer (2 papers). Jing Qi is often cited by papers focused on Pulmonary Hypertension Research and Treatments (3 papers), Cancer-related molecular mechanisms research (3 papers) and RNA modifications and cancer (2 papers). Jing Qi collaborates with scholars based in China, United States and Canada. Jing Qi's co-authors include Xiaoping Yang, Nadrian C. Seeman, Xiaojun Li, Daling Zhu, Xiaodong Zheng, Lixin Zhang, Xin Wei, Yiying Li, Xijuan Zhao and Siyu He and has published in prestigious journals such as Journal of the American Chemical Society, Hypertension and Journal of the American Heart Association.

In The Last Decade

Jing Qi

8 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jing Qi China	7	296	67	55	53	32	9	336
Mengyuan Song China	10	175 0.6×	33 0.5×	12 0.2×	15 0.3×	32 1.0×	30	385
Yunjie Wen China	7	296 1.0×	69 1.0×	10 0.2×	5 0.1×	113 3.5×	11	373
Ziyao Wang China	10	197 0.7×	54 0.8×	18 0.3×	3 0.1×	31 1.0×	33	326
Lijun Zhou China	8	89 0.3×	26 0.4×	14 0.3×	3 0.1×	22 0.7×	28	188
Margaret A. Haughton United States	7	271 0.9×	18 0.3×	7 0.1×	10 0.2×	24 0.8×	8	355
Chengkun Wang China	7	86 0.3×	19 0.3×	11 0.2×	8 0.2×	21 0.7×	12	188
Shani Elias‐Kirma Israel	6	256 0.9×	40 0.6×	55 1.0×	4 0.1×	76 2.4×	8	361
Yuri Choi South Korea	9	126 0.4×	20 0.3×	37 0.7×	12 0.2×	10 0.3×	27	228
Athena L. Huang United States	6	284 1.0×	43 0.6×	8 0.1×	5 0.1×	88 2.8×	11	391
Changchun Niu China	8	140 0.5×	18 0.3×	5 0.1×	5 0.1×	46 1.4×	16	192

Countries citing papers authored by Jing Qi

Since Specialization

Citations

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

Fields of papers citing papers by Jing Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Qi

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

All Works

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9 of 9 papers shown

Zhang, Jingya, Xu Wang, Xinru Wang, et al.. (2025). Super‐Enhancer Target Gene CBP/p300‐Interacting Transactivator With Glu/Asp‐Rich C‐Terminal Domain, 2 Cooperates With Transcription Factor Forkhead Box J3 to Inhibit Pulmonary Vascular Remodeling. Cell Proliferation. 58(11). e13817–e13817.

Yan, Xing, Jing Qi, Xinyue Song, et al.. (2023). Circ‐myh8 Promotes Pulmonary Hypertension by Recruiting KAT7 to Govern Hypoxia‐Inducible Factor‐1α Expression. Journal of the American Heart Association. 12(7). e028299–e028299. 15 indexed citations

Liu, Ying, Hongyue Zhang, Yiying Li, et al.. (2020). Long Noncoding RNA Rps4l Mediates the Proliferation of Hypoxic Pulmonary Artery Smooth Muscle Cells. Hypertension. 76(4). 1124–1133. 26 indexed citations

Zhang, Junting, Yiying Li, Jing Qi, et al.. (2020). Circ- calm4 Serves as an miR-337-3p Sponge to Regulate Myo10 (Myosin 10) and Promote Pulmonary Artery Smooth Muscle Proliferation. Hypertension. 75(3). 668–679. 53 indexed citations

Yang, Ye, et al.. (2019). Regulatory Effect of 1,25(OH)2D3 on TGF-β1 and miR-130b Expression in Streptozotocin-Induced Diabetic Nephropathy in Rats. International Journal of Endocrinology. 2019. 1–10. 2 indexed citations

Xing, Katharine He, et al.. (2013). Analysis of the relationship of insulin-like growth factor-1 to the growth velocity and feeding of healthy infants. Growth Hormone & IGF Research. 23(6). 215–219. 17 indexed citations

Liu, Jie, et al.. (2009). Adventitious shoot regeneration from the leaves of in vitro grown ‘Zhongli 1’ pear (Pyrus spp.). Frontiers of Agriculture in China. 3(1). 60–66. 7 indexed citations

Li, Xiaojun, Xiaoping Yang, Jing Qi, & Nadrian C. Seeman. (1996). Antiparallel DNA Double Crossover Molecules As Components for Nanoconstruction. Journal of the American Chemical Society. 118(26). 6131–6140. 182 indexed citations

Qi, Jing, Xiaojun Li, Xiaoping Yang, & Nadrian C. Seeman. (1996). Ligation of Triangles Built from Bulged 3-Arm DNA Branched Junctions. Journal of the American Chemical Society. 118(26). 6121–6130. 34 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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