Guoqi Teng

42 total papers · 1.2k total citations
25 papers, 923 citations indexed

About

Guoqi Teng is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Guoqi Teng has authored 25 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 14 papers in Surgery and 9 papers in Molecular Biology. Recurrent topics in Guoqi Teng's work include Cardiac Fibrosis and Remodeling (13 papers), Tissue Engineering and Regenerative Medicine (12 papers) and Peptidase Inhibition and Analysis (6 papers). Guoqi Teng is often cited by papers focused on Cardiac Fibrosis and Remodeling (13 papers), Tissue Engineering and Regenerative Medicine (12 papers) and Peptidase Inhibition and Analysis (6 papers). Guoqi Teng collaborates with scholars based in Canada, United States and Türkiye. Guoqi Teng's co-authors include Henry J. Duff, James P. Lees‐Miller, Paul W.M. Fedak, Yufeng Duan, Darrell D. Belke, Daniyil A. Svystonyuk, David G. Guzzardi, H.E. Mewhort, Jeannine D. Turnbull and Sean Kang and has published in prestigious journals such as Immunity, Scientific Reports and Cardiovascular Research.

In The Last Decade

Guoqi Teng

25 papers receiving 903 citations

Author Peers

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

Author						Papers	Cites
Guoqi Teng	543	475	256	121	97	25	923
Frank Diet	568 1.0×	365 0.8×	175 0.7×	150 1.2×	36 0.4×	18	876
Viktor Drvota	260 0.5×	520 1.1×	382 1.5×	198 1.6×	124 1.3×	28	1.2k
Daniela Tı̂rziu	360 0.7×	572 1.2×	287 1.1×	51 0.4×	60 0.6×	39	1.1k
Toshio Igaki	504 0.9×	556 1.2×	209 0.8×	102 0.8×	27 0.3×	18	1.2k
Ichiro Hamanaka	577 1.1×	496 1.0×	242 0.9×	59 0.5×	40 0.4×	26	1.1k
Raisa Serpi	314 0.6×	520 1.1×	180 0.7×	62 0.5×	43 0.4×	47	1.1k
Kay M. Southgate	215 0.4×	335 0.7×	313 1.2×	160 1.3×	46 0.5×	18	1.2k
Claudio Iaconetti	314 0.6×	796 1.7×	304 1.2×	76 0.6×	78 0.8×	19	1.2k
Alfonso Campanile	257 0.5×	449 0.9×	128 0.5×	71 0.6×	33 0.3×	29	854
Pierre Zoldhelyi	475 0.9×	380 0.8×	410 1.6×	33 0.3×	68 0.7×	34	1.2k

Countries citing papers authored by Guoqi Teng

Since Specialization

Citations

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

Fields of papers citing papers by Guoqi Teng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoqi Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Guoqi Teng. A scholar is included among the top collaborators of Guoqi Teng 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 Guoqi Teng. Guoqi Teng 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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