J. H. Qiao

1.8k total citations
20 papers, 1.5k citations indexed

About

J. H. Qiao is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, J. H. Qiao has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in J. H. Qiao's work include Atherosclerosis and Cardiovascular Diseases (6 papers), Lipoproteins and Cardiovascular Health (4 papers) and Nuclear Receptors and Signaling (3 papers). J. H. Qiao is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (6 papers), Lipoproteins and Cardiovascular Health (4 papers) and Nuclear Receptors and Signaling (3 papers). J. H. Qiao collaborates with scholars based in United States, China and Czechia. J. H. Qiao's co-authors include Aldons J. Lusis, Michael C. Fishbein, Feng Liao, Alistair I. Fyfe, Thomas A. Drake, Peter Libby, Steven K. Clinton, T B Rajavashisth, Lawrence W. Castellani and Peizhen Xie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Analytical Chemistry.

In The Last Decade

J. H. Qiao

15 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. H. Qiao United States 11 695 483 425 333 171 20 1.5k
Florence Emmanuel France 16 650 0.9× 672 1.4× 613 1.4× 313 0.9× 362 2.1× 18 1.8k
Vidya Kunjathoor United States 8 1.1k 1.6× 763 1.6× 574 1.4× 470 1.4× 180 1.1× 11 2.1k
Mikko P.S. Ares Sweden 22 789 1.1× 511 1.1× 412 1.0× 408 1.2× 122 0.7× 32 1.8k
Hong Pei United States 21 587 0.8× 566 1.2× 264 0.6× 224 0.7× 90 0.5× 38 1.6k
Annalisa Iezzi Italy 15 461 0.7× 326 0.7× 399 0.9× 247 0.7× 296 1.7× 19 1.8k
Cody J. Diehl United States 14 872 1.3× 445 0.9× 207 0.5× 310 0.9× 107 0.6× 20 1.5k
Eric A. Shikatani Canada 12 607 0.9× 589 1.2× 263 0.6× 269 0.8× 308 1.8× 13 1.5k
Takafumi Senokuchi Japan 23 385 0.6× 825 1.7× 441 1.0× 365 1.1× 207 1.2× 42 1.7k
Suseela Srinivasan United States 22 507 0.7× 920 1.9× 447 1.1× 212 0.6× 130 0.8× 27 1.7k
Bruno Poirier France 20 688 1.0× 270 0.6× 379 0.9× 256 0.8× 212 1.2× 27 1.5k

Countries citing papers authored by J. H. Qiao

Since Specialization
Citations

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

Fields of papers citing papers by J. H. Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. H. Qiao. 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 J. H. Qiao. The network helps show where J. H. Qiao may publish in the future.

Co-authorship network of co-authors of J. H. Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of J. H. Qiao. A scholar is included among the top collaborators of J. H. Qiao 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 J. H. Qiao. J. H. Qiao 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.
Qiao, J. H., Bo Li, Song Lin, et al.. (2025). Microstructure and property regulation in newly Al-Cu-Mg alloy prepared by powder press-forming and deformation. Journal of Alloys and Compounds. 1034. 181373–181373.
2.
3.
Li, Yifei, et al.. (2025). Gas–liquid separation mechanisms and bubble dynamics in a helical axial multiphase flow pump. Physics of Fluids. 37(2). 2 indexed citations
4.
Qiao, J. H., et al.. (2025). Transformer-cnn hybrid network for underwater image enhancement. The Journal of Supercomputing. 81(10).
5.
Qiao, J. H., et al.. (2025). Development and Validation of a Nitric Oxide-Responsive Optical Probe for Cardiovascular Disease with Acute Lung Injury In Vivo Imaging. Analytical Chemistry. 97(21). 11328–11336. 1 indexed citations
6.
7.
Cheng, Hongbin, J. H. Qiao, Yueteng Wei, et al.. (2024). Transfer Learning in Subsurface Flow Surrogate Model with Physics-Guided Neural Network. SPE Annual Technical Conference and Exhibition. 1 indexed citations
8.
9.
Jo, Javier A., Qiyin Fang, Thanassis Papaioannou, et al.. (2005). Novel methods of time-resolved fluorescence data analysis for in-vivo tissue characterization: application to atherosclerosis. PubMed. 3. 1372–1375. 1 indexed citations
10.
Tamminen, Minna, Giuliano A. Mottino, J. H. Qiao, Jan L. Breslow, & Joy S. Frank. (1999). Ultrastructure of Early Lipid Accumulation in ApoE-Deficient Mice. Arteriosclerosis Thrombosis and Vascular Biology. 19(4). 847–853. 104 indexed citations
11.
Rajavashisth, T B, et al.. (1998). Heterozygous osteopetrotic (op) mutation reduces atherosclerosis in LDL receptor- deficient mice.. Journal of Clinical Investigation. 101(12). 2702–2710. 197 indexed citations
12.
Qiao, J. H., Yi Cai, S. Imes, et al.. (1997). Role of macrophage colony-stimulating factor in atherosclerosis: studies of osteopetrotic mice.. PubMed. 150(5). 1687–99. 257 indexed citations
13.
Cohen, R. D., Lawrence W. Castellani, J. H. Qiao, et al.. (1997). Reduced aortic lesions and elevated high density lipoprotein levels in transgenic mice overexpressing mouse apolipoprotein A-IV.. Journal of Clinical Investigation. 99(8). 1906–1916. 148 indexed citations
14.
Ivandic, Boris, et al.. (1996). A locus on chromosome 7 determines myocardial cell necrosis and calcification (dystrophic cardiac calcinosis) in mice.. Proceedings of the National Academy of Sciences. 93(11). 5483–5488. 59 indexed citations
15.
Fyfe, Alistair I., J. H. Qiao, & Aldons J. Lusis. (1994). Immune-deficient mice develop typical atherosclerotic fatty streaks when fed an atherogenic diet.. Journal of Clinical Investigation. 94(6). 2516–2520. 128 indexed citations
16.
Liao, Feng, Ali Andalibi, J. H. Qiao, et al.. (1994). Genetic evidence for a common pathway mediating oxidative stress, inflammatory gene induction, and aortic fatty streak formation in mice.. Journal of Clinical Investigation. 94(2). 877–884. 198 indexed citations
17.
Qiao, J. H., Peizhen Xie, Michael C. Fishbein, et al.. (1994). Pathology of atheromatous lesions in inbred and genetically engineered mice. Genetic determination of arterial calcification.. Arteriosclerosis and Thrombosis A Journal of Vascular Biology. 14(9). 1480–1497. 222 indexed citations
18.
Qiao, J. H., et al.. (1993). Involvement of the tyrosinase gene in the deposition of cardiac lipofuscin in mice. Association with aortic fatty streak development.. Journal of Clinical Investigation. 92(5). 2386–2393. 15 indexed citations
19.
Qiao, J. H., Lawrence W. Castellani, Michael C. Fishbein, & Aldons J. Lusis. (1993). Immune-complex-mediated vasculitis increases coronary artery lipid accumulation in autoimmune-prone MRL mice.. Arteriosclerosis and Thrombosis A Journal of Vascular Biology. 13(6). 932–943. 48 indexed citations
20.
Mehrabian, Margarete, et al.. (1993). Influence of the apoA-II gene locus on HDL levels and fatty streak development in mice.. Arteriosclerosis and Thrombosis A Journal of Vascular Biology. 13(1). 1–10. 111 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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