Zhuqing Qu

856 total citations
8 papers, 684 citations indexed

About

Zhuqing Qu is a scholar working on Surgery, Molecular Biology and Urology. According to data from OpenAlex, Zhuqing Qu has authored 8 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Molecular Biology and 2 papers in Urology. Recurrent topics in Zhuqing Qu's work include Tissue Engineering and Regenerative Medicine (3 papers), Muscle Physiology and Disorders (3 papers) and Virus-based gene therapy research (2 papers). Zhuqing Qu is often cited by papers focused on Tissue Engineering and Regenerative Medicine (3 papers), Muscle Physiology and Disorders (3 papers) and Virus-based gene therapy research (2 papers). Zhuqing Qu collaborates with scholars based in United States, Japan and Denmark. Zhuqing Qu's co-authors include Johnny Huard, Ryan Pruchnic, Paul D. Robbins, J.C.T. van Deutekom, Levent Balkir, Jesper L. Andersen, Ole Schmitz, B. Nyholm, Bengt Saltin and Claus Højbjerg Gravholt and has published in prestigious journals such as The Journal of Cell Biology, Diabetes and The Journal of Urology.

In The Last Decade

Zhuqing Qu

8 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhuqing Qu United States	6	382	356	198	140	111	8	684
P. Bosch United States	11	304 0.8×	347 1.0×	155 0.8×	46 0.3×	99 0.9×	11	850
Sudheer Ravuri United States	16	192 0.5×	182 0.5×	189 1.0×	78 0.6×	89 0.8×	35	648
Kazumasa Fukushima United States	6	258 0.7×	233 0.7×	140 0.7×	36 0.3×	56 0.5×	9	560
Cármen Lúcia Kuniyoshi Rebelatto Brazil	17	311 0.8×	284 0.8×	375 1.9×	68 0.5×	50 0.5×	61	768
Kajohnkiart Janebodin Thailand	12	227 0.6×	123 0.3×	218 1.1×	65 0.5×	102 0.9×	23	571
Neil Badlani United States	11	223 0.6×	309 0.9×	81 0.4×	35 0.3×	53 0.5×	15	622
Elena Olivi Italy	9	148 0.4×	242 0.7×	204 1.0×	51 0.4×	41 0.4×	19	504
F. Conte-Auriol France	10	311 0.8×	111 0.3×	134 0.7×	55 0.4×	113 1.0×	14	591
Wee Kiat Ong Singapore	8	192 0.5×	194 0.5×	228 1.2×	104 0.7×	26 0.2×	10	494
Sabri Musa Malaysia	13	209 0.5×	280 0.8×	503 2.5×	32 0.2×	169 1.5×	28	679

Countries citing papers authored by Zhuqing Qu

Since Specialization

Citations

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

Fields of papers citing papers by Zhuqing Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuqing Qu

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Ikezawa, Makoto, Baohong Cao, Zhuqing Qu, et al.. (2003). Dystrophin Delivery in Dystrophin-Deficient DMD ^mdx Skeletal Muscle by Isogenic Muscle-Derived Stem Cell Transplantation. Human Gene Therapy. 14(16). 1535–1546. 20 indexed citations

2.

Yokoyama, Teruhiko, Johnny Huard, Ryan Pruchnic, et al.. (2001). Muscle-derived cell transplantation and differentiation into lower urinary tract smooth muscle. Urology. 57(4). 826–831. 50 indexed citations

3.

Buranapanitkit, Boonsin, et al.. (2001). THE EFFECTS OF INSULIN-LIKE GROWTH FACTOR-1 AND NERVE GROWTH FACTOR ON DENERVATED MUSCLE ATROPHY. Journal of Musculoskeletal Research. 5(3). 193–203. 1 indexed citations

4.

Yokoyama, Teruhiko, Naoki Yoshimura, Rajiv Dhir, et al.. (2001). PERSISTENCE AND SURVIVAL OF AUTOLOGOUS MUSCLE DERIVED CELLS VERSUS BOVINE COLLAGEN AS POTENTIAL TREATMENT OF STRESS URINARY INCONTINENCE. The Journal of Urology. 165(1). 271–276. 71 indexed citations

5.

Yokoyama, Teruhiko, Michael B. Chancellor, Toyohiko Watanabe, et al.. (1999). PRIMARY MYOBLASTS INJECTION INTO THE URETHRA AND BLADDER AS A POTENTIAL TREATMENT OF STRESS URINARY INCONTINENCE AND IMPAIRED DETRUSOR CONTRACTILITY; LONG-TERM SURVIVAL WITHOUT SIGNIFICANT CYTOTOXICITY. The Journal of Urology. 307–307. 10 indexed citations

6.

Huard, Johnny, Teruhiko Yokoyama, John P. Lavelle, et al.. (1999). DIFFERENTIATION OF PRIMARY MYOBLAST INJECTION INTO THE LOWER URINARY TRACT; CREATION OF DETRUSOR CELLULAR MYOPLASTY. The Journal of Urology. 66–66. 5 indexed citations

7.

Qu, Zhuqing, Levent Balkir, J.C.T. van Deutekom, et al.. (1998). Development of Approaches to Improve Cell Survival in Myoblast Transfer Therapy. The Journal of Cell Biology. 142(5). 1257–1267. 375 indexed citations

8.

Nyholm, B., Zhuqing Qu, Claus Højbjerg Gravholt, et al.. (1997). Evidence of an Increased Number of Type IIb Muscle Fibers in Insulin-Resistant First-Degree Relatives of Patients with NIDDM. Diabetes. 46(11). 1822–1828. 152 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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