Bing‐Mu Hsu

2.8k citations
140 papers · 2.1k indexed · h-index 25
Topics
Legionella and Acanthamoeba research (42 papers)Bacterial biofilms and quorum sensing (29 papers)Parasitic Infections and Diagnostics (22 papers)

In The Last Decade

Bing‐Mu Hsu

135 papers receiving 2.0k citations

Peers

Bing‐Mu Hsu
Comparison fields: 5 of 128
  • Endocrinology 768
  • Molecular Biology 643
  • Infectious Diseases 362
  • Health, Toxicology and Mutagenesis 359
  • Parasitology 315
Replace Maria Inês Zanoli Sato with:
Maria Inês Zanoli Sato Brazil
Norman F. Neumann Canada
Franciska M. Schets Netherlands
Laurent Moulin France
Regina Sommer Austria
Hodon Ryu United States
Yolanda Moreno Spain
Andreas Nocker United Kingdom
Michael P. Ryan Ireland
Rebekah Henry Australia
Bing‐Mu Hsu relative to Maria Inês Zanoli Sato Brazil Maria Inês Zanoli Sato's profile →
Citations per field
00.5×1.5×2.0×
Maria Inês Zanoli Sato · 1×
Citations per year

Countries citing papers authored by Bing‐Mu Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Bing‐Mu Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing‐Mu Hsu. 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 Bing‐Mu Hsu. The network helps show where Bing‐Mu Hsu may publish in the future.

Co-authorship network of co-authors of Bing‐Mu Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Bing‐Mu Hsu. A scholar is included among the top collaborators of Bing‐Mu Hsu 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 Bing‐Mu Hsu. Bing‐Mu Hsu 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
#WorkIndexed citations
1 0
2 1
3 5
4 0
5 3
6 13
7 15
8 7
9 27
10 4
11 10
12 23
13 11
14
Metagenomics insight into effects of a heavy metal resistance in hot spring environments adjacent to Huang-gang Creek
1
15 7
16 5
17
Detection and identification of free-living amoeba from aquatic environment in Taiwan
1
18 24
19 12
20 7

About Bing‐Mu Hsu

Bing‐Mu Hsu is a scholar working on Endocrinology, Parasitology and Molecular Medicine, having authored 140 papers that have together received 2.1k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (42 papers), Bacterial biofilms and quorum sensing (29 papers) and Parasitic Infections and Diagnostics (22 papers). The work is most often cited by research in Endocrinology (768 citations), Parasitology (315 citations) and Molecular Medicine (131 citations). Bing‐Mu Hsu has collaborated with scholars based in Taiwan, United States and Uganda. Frequent co-authors include Jung‐Sheng Chen, Shih-Wei Huang, Chihpin Huang, Bashir Hussain, Po-Min Kao, Suprokash Koner, Chien-Hsien Chen, Hsin‐Chi Tsai, Tsui-Kang Hsu and Yuli Huang. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Water Research.

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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