Detao Gao

31 total papers · 553 total citations
18 papers, 435 citations indexed

About

Detao Gao is a scholar working on Molecular Biology, Immunology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Detao Gao has authored 18 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Detao Gao's work include Peroxisome Proliferator-Activated Receptors (5 papers), Cell Adhesion Molecules Research (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Detao Gao is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (5 papers), Cell Adhesion Molecules Research (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Detao Gao collaborates with scholars based in United States, Canada and China. Detao Gao's co-authors include Eugene A. Podrez, Tatiana V. Byzova, Xiaoxia Z. West, Robert G. Salomon, Hong Li, Yi Ma, Soumya Panigrahi, Sudipta Biswas, Alejandro Zimman and Niladri Kar and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Circulation Research.

In The Last Decade

Detao Gao

18 papers receiving 434 citations

Author Peers

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

Author						Papers	Cites
Detao Gao	167	133	83	47	45	18	435
S Formisano	128 0.8×	144 1.1×	52 0.6×	24 0.5×	35 0.8×	24	466
Sumith R. Panicker	125 0.7×	107 0.8×	84 1.0×	20 0.4×	20 0.4×	22	386
Misako Shibakura	67 0.4×	169 1.3×	106 1.3×	41 0.9×	78 1.7×	27	460
Stéphanie Magnenat	91 0.5×	93 0.7×	129 1.6×	32 0.7×	22 0.5×	17	454
Stefano Di Giulio	51 0.3×	133 1.0×	88 1.1×	21 0.4×	50 1.1×	20	486
S S Levinson	54 0.3×	201 1.5×	74 0.9×	32 0.7×	28 0.6×	28	436
Masaharu Aritomi	98 0.6×	177 1.3×	127 1.5×	14 0.3×	46 1.0×	13	437
T. Royo	106 0.6×	122 0.9×	92 1.1×	19 0.4×	17 0.4×	24	474
Zaher Raslan	106 0.6×	133 1.0×	140 1.7×	16 0.3×	54 1.2×	13	437
Behnoush Parviz	99 0.6×	154 1.2×	104 1.3×	8 0.2×	33 0.7×	19	440

Countries citing papers authored by Detao Gao

Since Specialization

Citations

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

Fields of papers citing papers by Detao Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Detao Gao

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