Un‐In Wu

2.2k citations
61 papers · 1.4k · h-index 21

Impact in

Papers in

    • Mycobacterium research and diagnosis 16
    • Fungal Infections and Studies 7
    • Influenza Virus Research Studies 5
    • Pneumocystis jirovecii pneumonia detection and treatment 5
    • Antifungal resistance and susceptibility 9
    • Tuberculosis Research and Epidemiology 5

Un‐In Wu

61 papers receiving 1.4k citations

Peers

Un‐In Wu
Comparison fields: 5 of 118
  • Molecular Medicine 166
  • Infectious Diseases 415
  • Applied Microbiology and Biotechnology 39
  • Endocrine and Autonomic Systems 131
  • Epidemiology 595
Replace Bruce A. Davidson with:
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Un‐In Wu relative to Bruce A. Davidson United States Bruce A. Davidson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Un‐In Wu

Since Specialization
Citations

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

Fields of papers citing papers by Un‐In Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Un‐In Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Un‐In Wu Line = papers co-authored together Un‐In Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015189
2 2017109
3 200998
4 201591
5 201553
6 201752
7 201046
8 200844
9 200941
10 201541
11 200739
12 201937
13 201935
14 201130
15 201030
16 202128
17 201725
18 201824
19 201723
20 201121

About Un‐In Wu

Un‐In Wu is a scholar working on Epidemiology, Infectious Diseases, Small Animals, Physiology and Molecular Medicine, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (16 papers), Antifungal resistance and susceptibility (9 papers), Fungal Infections and Studies (7 papers), Antibiotic Resistance in Bacteria (5 papers), Infectious Diseases and Mycology (5 papers), Influenza Virus Research Studies (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Molecular Medicine (166 citations), Infectious Diseases (415 citations), Applied Microbiology and Biotechnology (39 citations), Endocrine and Autonomic Systems (131 citations) and Epidemiology (595 citations). Un‐In Wu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Steven M. Holland, Shan‐Chwen Chang, Wang‐Huei Sheng, Yee‐Chun Chen, Hung‐Ming Chang, Jann‐Tay Wang, Chyn‐Tair Lan, Hsin‐Yun Sun, Yu‐Chung Chuang and Fu‐Der Mai. Their work appears in journals such as Journal of Microbiology Immunology and Infection, International Journal of Infectious Diseases, Journal of Pineal Research, Clinical Microbiology and Infection and Open Forum Infectious Diseases.

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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