Z Qu

629 total citations
11 papers, 500 citations indexed

About

Z Qu is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Z Qu has authored 11 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Z Qu's work include Fibroblast Growth Factor Research (4 papers), Mast cells and histamine (2 papers) and UAV Applications and Optimization (2 papers). Z Qu is often cited by papers focused on Fibroblast Growth Factor Research (4 papers), Mast cells and histamine (2 papers) and UAV Applications and Optimization (2 papers). Z Qu collaborates with scholars based in United States, China and Denmark. Z Qu's co-authors include Michael R. Powers, Janice M. Liebler, Stephen R. Planck, James T. Rosenbaum, Joseph H. Butterfield, Shi Zhou, Jesper L. Andersen, Xiaona Huang, John C. Ansel and Loretta G. McNatt and has published in prestigious journals such as IEEE Transactions on Communications, Thorax and American Journal of Clinical Pathology.

In The Last Decade

Z Qu

9 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Z Qu United States	5	182	173	83	80	67	11	500
Tatiana Ecoiffier United States	13	145 0.8×	130 0.8×	127 1.5×	108 1.4×	39 0.6×	15	759
Mihoko Shibuya Japan	10	233 1.3×	82 0.5×	29 0.3×	52 0.7×	26 0.4×	15	494
Lisa P. Abramson United States	12	47 0.3×	348 2.0×	96 1.2×	30 0.4×	79 1.2×	20	661
Denisa S. Melichian United States	6	135 0.7×	332 1.9×	15 0.2×	29 0.4×	63 0.9×	7	723
J. Preston Alexander United States	10	37 0.2×	192 1.1×	159 1.9×	16 0.2×	83 1.2×	10	667
Jaeger Davis United States	5	105 0.6×	287 1.7×	18 0.2×	17 0.2×	65 1.0×	5	534
Qing Yue China	11	123 0.7×	107 0.6×	27 0.3×	36 0.5×	11 0.2×	16	426
Yuki Ishikawa Japan	15	122 0.7×	370 2.1×	24 0.3×	71 0.9×	56 0.8×	38	1.0k
Zhidan Tu China	11	211 1.2×	158 0.9×	50 0.6×	15 0.2×	18 0.3×	13	480
Mary C. Whelan United States	10	46 0.3×	274 1.6×	21 0.3×	30 0.4×	103 1.5×	13	496

Countries citing papers authored by Z Qu

Since Specialization

Citations

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

Fields of papers citing papers by Z Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Z Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Z Qu. A scholar is included among the top collaborators of Z 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 Z Qu. Z 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:

11 of 11 papers shown

1.

Zhou, Fuhui, et al.. (2025). UAV Cognitive Semantic Communications Enabled by Knowledge Graph for Robust Object Detection. IEEE Transactions on Communications. 73(8). 6052–6067.

2.

Qu, Z, et al.. (2024). Knowledge Graph Driven UAV Cognitive Semantic Communication Systems for Efficient Object Detection. 1685–1690. 3 indexed citations

3.

Qu, Z, et al.. (2024). Temporal Enhanced Multimodal Graph Neural Networks for Fake News Detection. IEEE Transactions on Computational Social Systems. 11(6). 7286–7298. 2 indexed citations

4.

Deebajah, Mustafa, et al.. (2021). GATA3 Is a Useful Immunohistochemical Marker to Differentiate Variants of Renal Tubular Lesions from Different Segments of Renal Tubules. American Journal of Clinical Pathology. 156(Supplement_1). S152–S153. 1 indexed citations

5.

Qu, Z, et al.. (2021). Increased Activated Plasma Cells in Inflammatory Bowel Disease When Compared to Ischemic Acute Colitis. American Journal of Clinical Pathology. 156(Supplement_1). S56–S56.

6.

Liebler, Janice M., et al.. (1998). Fibroproliferation and mast cells in the acute respiratory distress syndrome. Thorax. 53(10). 823–829. 48 indexed citations

7.

Wordinger, Robert J., Abbot F. Clark, Wendi S. Lambert, et al.. (1998). Cultured human trabecular meshwork cells express functional growth factor receptors.. PubMed. 39(9). 1575–89. 95 indexed citations

8.

Qu, Z, Jesper L. Andersen, & Shi Zhou. (1997). Visualisation of capillaries in human skeletal muscle. Histochemistry and Cell Biology. 107(2). 169–174. 76 indexed citations

9.

Qu, Z, et al.. (1996). Ultrastructural immunolocalization of basic fibroblast growth factor-like molecules in cytoplasmic granules of mast cells in inflamed tissue. 10(6). 1 indexed citations

10.

Qu, Z, Janice M. Liebler, Michael R. Powers, et al.. (1995). Mast cells are a major source of basic fibroblast growth factor in chronic inflammation and cutaneous hemangioma.. PubMed. 147(3). 564–73. 254 indexed citations

11.

Qu, Z, et al.. (1994). Immunolocalization of basic fibroblast growth factor and platelet-derived growth factor-A during adjuvant arthritis in the Lewis rat.. PubMed. 145(5). 1127–39. 20 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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