David T. Hoang

47 total papers · 672 total citations
15 papers, 523 citations indexed

About

David T. Hoang is a scholar working on Electrical and Electronic Engineering, Oncology and Molecular Biology. According to data from OpenAlex, David T. Hoang has authored 15 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in David T. Hoang's work include Advanced battery technologies research (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Advanced Battery Materials and Technologies (4 papers). David T. Hoang is often cited by papers focused on Advanced battery technologies research (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Advanced Battery Materials and Technologies (4 papers). David T. Hoang collaborates with scholars based in United States, Finland and South Korea. David T. Hoang's co-authors include Xiulei Ji, Sean K. Sandstrom, William F. Stickle, Heng Jiang, Alexis M. Scida, P. Alex Greaney, Kyriakos C. Stylianou, Nan‐Chieh Chiu, Yanke Fu and Longteng Tang and has published in prestigious journals such as Advanced Energy Materials, Clinical Cancer Research and American Journal Of Pathology.

In The Last Decade

David T. Hoang

15 papers receiving 517 citations

Hit Papers

Chloride electrolyte enab... 2023 2026 2024 2023 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
David T. Hoang 270 115 68 65 64 15 523
Hiroshi Kurachi 174 0.6× 44 0.4× 47 0.7× 56 0.9× 7 0.1× 18 491
Bowen Zhuang 103 0.4× 79 0.7× 44 0.6× 116 1.8× 72 1.1× 33 540
Hye Ryeon Kim 108 0.4× 56 0.5× 67 1.0× 91 1.4× 34 0.5× 19 447
Jisheng Xie 268 1.0× 48 0.4× 141 2.1× 14 0.2× 50 0.8× 13 526
Bit Na Kim 144 0.5× 134 1.2× 166 2.4× 60 0.9× 49 0.8× 13 518
Sipeng Guo 117 0.4× 146 1.3× 78 1.1× 51 0.8× 56 0.9× 9 463
Xueting Ren 266 1.0× 54 0.5× 115 1.7× 10 0.2× 35 0.5× 28 481
Hongjun Shi 156 0.6× 77 0.7× 235 3.5× 19 0.3× 32 0.5× 30 589
Weihua Wan 183 0.7× 117 1.0× 208 3.1× 18 0.3× 138 2.2× 36 559
Jiayan Yan 96 0.4× 186 1.6× 203 3.0× 44 0.7× 61 1.0× 27 537

Countries citing papers authored by David T. Hoang

Since Specialization
Citations

This map shows the geographic impact of David T. Hoang'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 David T. Hoang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Hoang more than expected).

Fields of papers citing papers by David T. Hoang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Hoang. 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 David T. Hoang. The network helps show where David T. Hoang may publish in the future.

Co-authorship network of co-authors of David T. Hoang

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Hoang. A scholar is included among the top collaborators of David T. Hoang 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 David T. Hoang. David T. Hoang 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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