Tzu G. Wu

487 total citations
10 papers, 408 citations indexed

About

Tzu G. Wu is a scholar working on Ophthalmology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tzu G. Wu has authored 10 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ophthalmology, 3 papers in Infectious Diseases and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tzu G. Wu's work include Ocular Infections and Treatments (6 papers), Antifungal resistance and susceptibility (3 papers) and Immunotherapy and Immune Responses (3 papers). Tzu G. Wu is often cited by papers focused on Ocular Infections and Treatments (6 papers), Antifungal resistance and susceptibility (3 papers) and Immunotherapy and Immune Responses (3 papers). Tzu G. Wu collaborates with scholars based in United States. Tzu G. Wu's co-authors include Kirk R. Wilhelmus, Bradley M. Mitchell, Kekul B. Shah, Dan B. Jones, Victor V. Keasler, Beth E. Jackson, David K. Coats, Evelyn A. Paysse, Eva-Marie Chong and W. R. Fleischmann and has published in prestigious journals such as The Journal of Infectious Diseases, Investigative Ophthalmology & Visual Science and Cornea.

In The Last Decade

Tzu G. Wu

10 papers receiving 401 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tzu G. Wu United States 8 255 164 107 98 65 10 408
L.D. Hazlett United States 9 142 0.6× 112 0.7× 23 0.2× 169 1.7× 126 1.9× 15 401
MJ JAGER Netherlands 10 154 0.6× 81 0.5× 13 0.1× 74 0.8× 121 1.9× 19 329
Gerald J. Negvesky United States 7 304 1.2× 136 0.8× 105 1.0× 26 0.3× 35 0.5× 8 421
Qiuchan Deng China 9 49 0.2× 52 0.3× 28 0.3× 213 2.2× 185 2.8× 11 425
Naveen Radhakrishnan India 9 240 0.9× 142 0.9× 34 0.3× 15 0.2× 22 0.3× 22 372
Xiuying Jin China 10 309 1.2× 239 1.5× 18 0.2× 26 0.3× 68 1.0× 20 448
Deepali Singhal India 10 293 1.1× 228 1.4× 60 0.6× 26 0.3× 23 0.4× 22 408
Anahita Kate India 9 148 0.6× 179 1.1× 26 0.2× 24 0.2× 27 0.4× 32 323
R. K. Forster United States 12 351 1.4× 97 0.6× 91 0.9× 14 0.1× 43 0.7× 21 526
H. E. Kaufman United States 12 174 0.7× 94 0.6× 19 0.2× 59 0.6× 32 0.5× 25 403

Countries citing papers authored by Tzu G. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tzu G. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu G. 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 Tzu G. Wu. The network helps show where Tzu G. Wu may publish in the future.

Co-authorship network of co-authors of Tzu G. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tzu G. Wu. A scholar is included among the top collaborators of Tzu G. 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 Tzu G. Wu. Tzu G. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Wu, Tzu G., et al.. (2009). Heterogeneous Interleukin-15 Inducibilities in Murine B16 Melanoma and RM-1 Prostate Carcinoma by Interferon-α Treatment. Journal of Interferon & Cytokine Research. 29(11). 719–728. 1 indexed citations
2.
Wu, Tzu G., et al.. (2007). IFN-α-Induced Murine B16 Melanoma Cancer Vaccine Cells: Induction and Accumulation of Cell-Associated IL-15. Journal of Interferon & Cytokine Research. 27(1). 13–22. 22 indexed citations
3.
Mitchell, Bradley M., et al.. (2007). Expression of Matrix Metalloproteinases 2 and 9 in Experimental Corneal Injury and Fungal Keratitis. Cornea. 26(5). 589–593. 26 indexed citations
4.
Mitchell, Bradley M., Tzu G. Wu, Beth E. Jackson, & Kirk R. Wilhelmus. (2007). Candida albicansStrain-Dependent Virulence and Rim13p-Mediated Filamentation in Experimental Keratomycosis. Investigative Ophthalmology & Visual Science. 48(2). 774–774. 31 indexed citations
5.
Fleischmann, W. R. & Tzu G. Wu. (2005). Development of an Interferon-Based Cancer Vaccine Protocol. Humana Press eBooks. 116. 151–166. 4 indexed citations
6.
Wu, Tzu G., Victor V. Keasler, Bradley M. Mitchell, & Kirk R. Wilhelmus. (2004). Immunosuppression Affects the Severity of ExperimentalFusarium solaniKeratitis. The Journal of Infectious Diseases. 190(1). 192–198. 43 indexed citations
7.
Coats, David K., et al.. (2003). Quantification of incidental needle and suture contamination during strabismus surgery.. PubMed. 18(2). 75–9. 20 indexed citations
8.
Wu, Tzu G., et al.. (2003). Molecular analysis of the pediatric ocular surface for fungi. Current Eye Research. 26(1). 33–36. 32 indexed citations
9.
Shah, Kekul B., Tzu G. Wu, Kirk R. Wilhelmus, & Dan B. Jones. (2003). Activity of Voriconazole Against Corneal Isolates of Scedosporium apiospermum. Cornea. 22(1). 33–36. 48 indexed citations
10.
Wu, Tzu G., Kirk R. Wilhelmus, & Bradley M. Mitchell. (2003). Experimental Keratomycosis in a Mouse Model. Investigative Ophthalmology & Visual Science. 44(1). 210–210. 181 indexed citations

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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