Ming Qiu

53 total papers · 2.0k total citations
35 papers, 1.0k citations indexed

About

Ming Qiu is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ming Qiu has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Oncology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ming Qiu's work include Estrogen and related hormone effects (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Cardiac Fibrosis and Remodeling (3 papers). Ming Qiu is often cited by papers focused on Estrogen and related hormone effects (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Cardiac Fibrosis and Remodeling (3 papers). Ming Qiu collaborates with scholars based in China, United States and Italy. Ming Qiu's co-authors include Carol A. Lange, Emily J. Faivre, Abby L. Olsen, Anthony Wong, Kathryn B. Horwitz, Tod Smeal, Ping Wei, Yan Lü, Jitesh P. Jani and Natilie Hosea and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cancer Research.

In The Last Decade

Ming Qiu

33 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ming Qiu	586	385	228	146	122	35	1.0k
Maria Grazia Cerrito	522 0.9×	250 0.6×	205 0.9×	137 0.9×	115 0.9×	53	1.1k
Virginia Novaro	375 0.6×	246 0.6×	174 0.8×	135 0.9×	67 0.5×	42	905
Guillermo Pita	427 0.7×	349 0.9×	216 0.9×	253 1.7×	113 0.9×	42	1.1k
Anna S. Nikonova	756 1.3×	257 0.7×	373 1.6×	103 0.7×	135 1.1×	42	1.2k
Quan Li	540 0.9×	168 0.4×	317 1.4×	231 1.6×	208 1.7×	43	1.1k
Yonghui Wu	673 1.1×	328 0.9×	176 0.8×	168 1.2×	118 1.0×	36	1.1k
Fenghua Zeng	569 1.0×	242 0.6×	95 0.4×	137 0.9×	140 1.1×	23	1.1k
Ayush Dagvadorj	672 1.1×	447 1.2×	160 0.7×	208 1.4×	271 2.2×	23	1.2k
Luisa Salvatori	475 0.8×	183 0.5×	172 0.8×	199 1.4×	154 1.3×	33	1.1k
Stefan Roepcke	668 1.1×	191 0.5×	95 0.4×	134 0.9×	242 2.0×	31	1.1k

Countries citing papers authored by Ming Qiu

Since Specialization

Citations

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

Fields of papers citing papers by Ming Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Qiu

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

All Works

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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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