Deqiang Gan

18 total papers · 519 total citations
17 papers, 423 citations indexed

About

Deqiang Gan is a scholar working on Biomaterials, Biomedical Engineering and Surgery. According to data from OpenAlex, Deqiang Gan has authored 17 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 8 papers in Biomedical Engineering and 5 papers in Surgery. Recurrent topics in Deqiang Gan's work include Electrospun Nanofibers in Biomedical Applications (8 papers), Graphene and Nanomaterials Applications (4 papers) and Bone Tissue Engineering Materials (4 papers). Deqiang Gan is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (8 papers), Graphene and Nanomaterials Applications (4 papers) and Bone Tissue Engineering Materials (4 papers). Deqiang Gan collaborates with scholars based in China, Portugal and United States. Deqiang Gan's co-authors include Yizao Wan, Honglin Luo, Quanchao Zhang, Zhiwei Yang, Miguel Gama, Fanglian Yao, Yong Zhu, Jie Wang, Shanshan Yang and Lingzhi Ding and has published in prestigious journals such as Small, Applied Surface Science and Composites Part B Engineering.

In The Last Decade

Deqiang Gan

17 papers receiving 417 citations

Author Peers

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

Author						Papers	Cites
Deqiang Gan	195	177	94	76	46	17	423
Jun Yup Lee	110 0.6×	178 1.0×	48 0.5×	96 1.3×	65 1.4×	14	481
Xiaqing Zhou	168 0.9×	204 1.2×	51 0.5×	56 0.7×	23 0.5×	24	419
Claire O’Connell	129 0.7×	212 1.2×	61 0.6×	70 0.9×	41 0.9×	18	477
Marta Kumorek	152 0.8×	131 0.7×	61 0.6×	129 1.7×	60 1.3×	17	392
Naizhen Zhou	187 1.0×	213 1.2×	58 0.6×	32 0.4×	56 1.2×	17	450
Tefera Worku Mekonnen	239 1.2×	212 1.2×	53 0.6×	112 1.5×	18 0.4×	15	423
Peixing Chen	133 0.7×	174 1.0×	103 1.1×	52 0.7×	27 0.6×	25	485
Endiries Yibru Hanurry	237 1.2×	216 1.2×	52 0.6×	125 1.6×	18 0.4×	16	438
Jianwei Duan	129 0.7×	169 1.0×	74 0.8×	111 1.5×	12 0.3×	17	456
Stacy Cereceres	170 0.9×	268 1.5×	55 0.6×	47 0.6×	33 0.7×	10	492

Countries citing papers authored by Deqiang Gan

Since Specialization

Citations

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

Fields of papers citing papers by Deqiang Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deqiang Gan

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