Min Hsu

520 citations
18 papers · 431 · h-index 9

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Bacterial Infections and Vaccines

Papers in

    • DNA Repair Mechanisms 5
    • RNA Research and Splicing 2
    • Protein Structure and Dynamics 1
    • Telomeres, Telomerase, and Senescence 9

Min Hsu

16 papers receiving 426 citations

Peers

Min Hsu
Comparison fields: 5 of 68
  • Aging 31
  • Microbiology 78
  • Molecular Biology 330
  • Physiology 78
  • Cancer Research 27
Replace Mary Kate Alexander with:
Mary Kate Alexander United States
Y You United States
Tamara Fernández-Calero Uruguay
Tahira Riaz Norway
José B. Gama Portugal
Deepa Srikanta United States
Vivian M. Choi United States
Wenjing Qi China
Qingyan Lv China
Boris Fichtman Israel
Min Hsu relative to Mary Kate Alexander United States Mary Kate Alexander's profile →
Citations per field
00.5×4.9×
Mary Kate Alexander · 1×
Citations per year

Countries citing papers authored by Min Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Min Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min Hsu, 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 Min Hsu Line = papers co-authored together Min Hsu links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2017150
2 200788
3 200539
4 201438
5 200734
6 200729
7 201115
8 20208
9 20178
10 19867
11 20236
12 20123
13 20172
14 20112
15 20241
16 20241
17 20240
18 20170

About Min Hsu

Min Hsu is a scholar working on Molecular Biology, Physiology, Aging, Oncology and Plant Science, having authored 18 papers that have together received 431 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (9 papers), DNA Repair Mechanisms (5 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), RNA Research and Splicing (2 papers), Antifungal resistance and susceptibility (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Seismic Imaging and Inversion Techniques (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Aging (31 citations), Microbiology (78 citations), Molecular Biology (330 citations), Physiology (78 citations) and Cancer Research (27 citations). Min Hsu has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Woan‐Yuh Tarn, Jung-Chun Lin, Ming Li, Eleftherios Mylonakis, Kiho Lee, Gerard J. Nau, Bharat Ramratnam, Neal F. Lue, Eun Young Yu and Andrew H.‐J. Wang. Their work appears in journals such as Eukaryotic Cell, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Molecular Microbiology and Bulletin of the Seismological Society of America.

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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