Hung Su

660 citations
40 papers · 574 · h-index 15

Impact in

    • Mass Spectrometry Techniques and Applications
    • Advanced Proteomics Techniques and Applications
  • Toxicology top 5%
    • Forensic Toxicology and Drug Analysis

Papers in

    • Mass Spectrometry Techniques and Applications 30
    • Advanced Proteomics Techniques and Applications 2
    • Forensic Toxicology and Drug Analysis 6

Hung Su

39 papers receiving 557 citations

Peers

Hung Su
Comparison fields: 5 of 78
  • Spectroscopy 305
  • Toxicology 55
  • Analytical Chemistry 75
  • Health, Toxicology and Mutagenesis 38
  • Food Science 47
Replace Yi‐Tzu Cho with:
Yi‐Tzu Cho Taiwan
Brooke G. Pantazides United States
Patrick K. Bennett United States
Eduard Rogatsky United States
Maria Paula Marques Brazil
Ganfeng Wang United States
Simon Beuck Germany
Zimeng Yan United States
David T. Rossi United States
Kjell A. Mortier Belgium
Hung Su relative to Yi‐Tzu Cho Taiwan Yi‐Tzu Cho's profile →
Citations per field
00.5×2×3.2×
Yi‐Tzu Cho · 1×
Citations per year

Countries citing papers authored by Hung Su

Since Specialization
Citations

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

Fields of papers citing papers by Hung Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201540
2 201239
3 201635
4 201835
5 202030
6 201726
7 201224
8 201623
9 201823
10 202023
11 201719
12 201818
13 202017
14 202016
15 201615
16 201915
17 201713
18 201913
19 201912
20 201912

About Hung Su

Hung Su is a scholar working on Spectroscopy, Toxicology, Analytical Chemistry, Food Science and Health, Toxicology and Mutagenesis, having authored 40 papers that have together received 574 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (30 papers), Analytical chemistry methods development (6 papers), Forensic Toxicology and Drug Analysis (6 papers), Pesticide Residue Analysis and Safety (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Advanced Proteomics Techniques and Applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Pesticide Exposure and Toxicity (1 paper). The work is most often cited by research in Spectroscopy (305 citations), Toxicology (55 citations), Analytical Chemistry (75 citations), Health, Toxicology and Mutagenesis (38 citations) and Food Science (47 citations). Hung Su has collaborated with scholars based in Taiwan, Japan and Thailand. Frequent co-authors include Jentaie Shiea, Chi‐Wei Lee, Yi‐Tzu Cho, Deng‐Chyang Wu, Min‐Zong Huang, Wen‐Jeng Wu, Tiao‐Lai Huang, Chao‐Hung Kuo, Bai‐Hsiun Chen and Ming‐Tsang Wu. Their work appears in journals such as Analytica Chimica Acta, Clinica Chimica Acta, Rapid Communications in Mass Spectrometry, Journal of Food and Drug Analysis and Molecules.

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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