Swei‐Ju Chang

17 total papers · 1.2k total citations
17 papers, 891 citations indexed

About

Swei‐Ju Chang is a scholar working on Microbiology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Swei‐Ju Chang has authored 17 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Microbiology, 13 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Swei‐Ju Chang's work include Bacterial Infections and Vaccines (14 papers), Pneumonia and Respiratory Infections (11 papers) and Influenza Virus Research Studies (5 papers). Swei‐Ju Chang is often cited by papers focused on Bacterial Infections and Vaccines (14 papers), Pneumonia and Respiratory Infections (11 papers) and Influenza Virus Research Studies (5 papers). Swei‐Ju Chang collaborates with scholars based in United States, Philippines and Belgium. Swei‐Ju Chang's co-authors include Joel I. Ward, David P. Greenberg, Susan Partridge, David I. Bernstein, Kathryn M. Edwards, Wendy A. Keitel, Stephen J. Barenkamp, Robert Edelman, John J. Treanor and Hang Lee and has published in prestigious journals such as New England Journal of Medicine, Clinical Infectious Diseases and The Journal of Infectious Diseases.

In The Last Decade

Swei‐Ju Chang

17 papers receiving 833 citations

Author Peers

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

Author Last Decade Papers Cites
Swei‐Ju Chang 766 649 168 124 70 17 891
William Meekison 736 1.0× 580 0.9× 231 1.4× 192 1.5× 64 0.9× 29 926
Karen Lewis 529 0.7× 544 0.8× 125 0.7× 68 0.5× 81 1.2× 18 1.0k
David L. Klein 628 0.8× 602 0.9× 117 0.7× 50 0.4× 87 1.2× 21 791
ChrisAnna M. Mink 859 1.1× 803 1.2× 176 1.0× 90 0.7× 111 1.6× 27 1.0k
E. Pineda 672 0.9× 661 1.0× 136 0.8× 73 0.6× 89 1.3× 11 777
Lindsey I. Zimmerman 537 0.7× 613 0.9× 150 0.9× 47 0.4× 78 1.1× 12 706
D G Burstyn 429 0.6× 593 0.9× 168 1.0× 83 0.7× 91 1.3× 16 744
H. Bogaerts 691 0.9× 599 0.9× 262 1.6× 85 0.7× 91 1.3× 32 899
David Witt 592 0.8× 308 0.5× 214 1.3× 53 0.4× 47 0.7× 16 773
Gunilla Zackrisson 613 0.8× 652 1.0× 176 1.0× 45 0.4× 130 1.9× 26 833

Countries citing papers authored by Swei‐Ju Chang

Since Specialization
Citations

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

Fields of papers citing papers by Swei‐Ju Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swei‐Ju Chang. 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 Swei‐Ju Chang. The network helps show where Swei‐Ju Chang may publish in the future.

Co-authorship network of co-authors of Swei‐Ju Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Swei‐Ju Chang. A scholar is included among the top collaborators of Swei‐Ju Chang 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 Swei‐Ju Chang. Swei‐Ju Chang 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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