Hung‐Jen Wu

11 total papers · 585 total citations
8 papers, 288 citations indexed

About

Hung‐Jen Wu is a scholar working on Molecular Biology, Biomedical Engineering and Infectious Diseases. According to data from OpenAlex, Hung‐Jen Wu has authored 8 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Biomedical Engineering and 2 papers in Infectious Diseases. Recurrent topics in Hung‐Jen Wu's work include vaccines and immunoinformatics approaches (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Hung‐Jen Wu is often cited by papers focused on vaccines and immunoinformatics approaches (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Hung‐Jen Wu collaborates with scholars based in United States, United Kingdom and Taiwan. Hung‐Jen Wu's co-authors include Mark Howarth, Priyanthi N.P. Gnanapragasam, Susan Ou, Jennifer R. Keeffe, Pamela J. Björkman, Anthony P. West, Michel C. Nussenzweig, Pauline R. Hoffman, Alexander A. Cohen and Christopher O. Barnes and has published in prestigious journals such as Science, Angewandte Chemie International Edition and Clinical Infectious Diseases.

In The Last Decade

Hung‐Jen Wu

7 papers receiving 286 citations

Hit Papers

Mosaic nanoparticles elic... 2021 2026 2022 2024 2021 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
Hung‐Jen Wu 165 133 73 55 44 8 288
Leesa M. Kakutani 190 1.2× 93 0.7× 64 0.9× 46 0.8× 55 1.3× 5 254
Utkarsh Narsaria 141 0.9× 266 2.0× 76 1.0× 91 1.7× 19 0.4× 8 308
Sven Blokland 166 1.0× 103 0.8× 29 0.4× 42 0.8× 30 0.7× 7 244
Wenxu Jia 206 1.2× 83 0.6× 29 0.4× 42 0.8× 53 1.2× 6 279
Javier Fuenmayor 86 0.5× 174 1.3× 41 0.6× 28 0.5× 21 0.5× 6 322
Tsai-Lien Lin 110 0.7× 124 0.9× 68 0.9× 45 0.8× 18 0.4× 10 324
Gilles Augusto 133 0.8× 69 0.5× 35 0.5× 15 0.3× 22 0.5× 12 221
Lauren E. Gentles 154 0.9× 96 0.7× 56 0.8× 24 0.4× 32 0.7× 8 256
Robert D. Troutman 68 0.4× 92 0.7× 80 1.1× 19 0.3× 20 0.5× 4 230
Victória Alves Santos Lunardelli 94 0.6× 104 0.8× 157 2.2× 29 0.5× 14 0.3× 10 319

Countries citing papers authored by Hung‐Jen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Jen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung‐Jen Wu. 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 Hung‐Jen Wu. The network helps show where Hung‐Jen Wu may publish in the future.

Co-authorship network of co-authors of Hung‐Jen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hung‐Jen Wu. A scholar is included among the top collaborators of Hung‐Jen Wu 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 Hung‐Jen Wu. Hung‐Jen Wu 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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