Dian Su

1.5k citations
21 papers · 1.1k · h-index 18

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Sulfur Compounds in Biology

Papers in

    • Redox biology and oxidative stress 6
    • DNA and Nucleic Acid Chemistry 5
    • Advanced biosensing and bioanalysis techniques 5
    • DNA Repair Mechanisms 3
    • Mass Spectrometry Techniques and Applications 5
    • Advanced Proteomics Techniques and Applications 4

Dian Su

21 papers receiving 1.1k citations

Peers

Dian Su
Comparison fields: 5 of 94
  • Spectroscopy 344
  • Biochemistry 114
  • Molecular Biology 817
  • Physiology 36
  • Oncology 113
Replace T. Kremmer with:
T. Kremmer Hungary
Jaimeen D. Majmudar United States
Takayuki Torigoe Japan
Shama P. Mirza United States
Ryan Bomgarden United States
Hongyan Cui China
Allen W. Tsang United States
Mauro Lo Conte United States
Paul G. Besant Australia
Yongsheng Liu China
Dian Su relative to T. Kremmer Hungary T. Kremmer's profile →
Citations per field
00.5×5.4×
T. Kremmer · 1×
Citations per year

Countries citing papers authored by Dian Su

Since Specialization
Citations

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

Fields of papers citing papers by Dian Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012173
2 2013133
3 201390
4 201478
5 201274
6 201169
7 201067
8 201264
9 201064
10 201361
11 201158
12 200946
13 200837
14 201128
15 201325
16 200824
17 201019
18 201018
19 200914
20 20214

About Dian Su

Dian Su is a scholar working on Molecular Biology, Spectroscopy, Organic Chemistry, Biochemistry and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Redox biology and oxidative stress (6 papers), Mass Spectrometry Techniques and Applications (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Advanced Proteomics Techniques and Applications (4 papers), DNA Repair Mechanisms (3 papers), Supramolecular Chemistry and Complexes (3 papers) and Sulfur Compounds in Biology (3 papers). The work is most often cited by research in Spectroscopy (344 citations), Biochemistry (114 citations), Molecular Biology (817 citations), Physiology (36 citations) and Oncology (113 citations). Dian Su has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Weijun Qian, Richard Smith, David Camp, Michael L. Gross, Tao Liu, Tujin Shi, Matthew Gaffrey, Jia Guo, Millie M. Georgiadis and Keqi Tang. Their work appears in journals such as Journal of Proteome Research, Journal of the American Chemical Society, Biochemistry, Free Radical Biology and Medicine and Crystal Growth & Design.

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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