I‐Wen Huang

1.4k total citations
42 papers, 1.1k citations indexed

About

I‐Wen Huang is a scholar working on Molecular Biology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, I‐Wen Huang has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Infectious Diseases and 12 papers in Molecular Medicine. Recurrent topics in I‐Wen Huang's work include Antimicrobial Resistance in Staphylococcus (13 papers), Antibiotic Resistance in Bacteria (12 papers) and Bacterial Identification and Susceptibility Testing (8 papers). I‐Wen Huang is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (13 papers), Antibiotic Resistance in Bacteria (12 papers) and Bacterial Identification and Susceptibility Testing (8 papers). I‐Wen Huang collaborates with scholars based in Taiwan, United States and China. I‐Wen Huang's co-authors include Jui‐Fen Lai, Yih‐Ru Shiau, Tsai‐Ling Lauderdale, Pei‐Chen Chen, Tsai-Ling Yang Lauderdale, Shan‐Chwen Chang, Feng-Jui Chen, Huiying Wang, Jann‐Tay Wang and Shu‐Chen Kuo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Bacteriology.

In The Last Decade

I‐Wen Huang

40 papers receiving 1.1k citations

Peers

I‐Wen Huang
Comparison fields: 5 of 96
  • Infectious Diseases 342
  • Molecular Biology 327
  • Molecular Medicine 314
  • Epidemiology 275
  • Clinical Biochemistry 168
Zhijian Yu China
Bianca Graves Australia
Zhiwei Lin China
Majid Taati Moghadam Iran
Elisabetta Mantengoli Italy
Björn A. Espedido Australia
Tsai-Ling Yang Lauderdale Taiwan
Yossi Paitan Israel
Mohammad M. Feizabadi Iran
Mohammad Reza Nahaei Iran
Zhijian Yu China View profile →
Citations per field, relative to I‐Wen Huang
I‐Wen Huang · 1×
Citations per year, relative to I‐Wen Huang
I‐Wen Huang · 1×

Countries citing papers authored by I‐Wen Huang

Since Specialization
Citations

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

Fields of papers citing papers by I‐Wen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Wen Huang. 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 I‐Wen Huang. The network helps show where I‐Wen Huang may publish in the future.

Co-authorship network of co-authors of I‐Wen Huang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 3
4 3
5 7
6 7
7 10
8 23
9 28
10 33
11 31
12 47
13 18
14 21
15 31
16 47
17 27
18 16
19 76
20 8

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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