Dian Su
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Immunology top 10%
- Biosimilars and Bioanalytical Methods
- Toxin Mechanisms and Immunotoxins
Papers in
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- Monoclonal and Polyclonal Antibodies Research 14
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- Biosimilars and Bioanalytical Methods 7
- Toxin Mechanisms and Immunotoxins 2
- Co-authors
- Donglu Zhang (8 shared papers)Shang‐Fan Yu (5 shared papers)Keyang Xu (4 shared papers)Siamak Cyrus Khojasteh (7 shared papers)Carl Ng (3 shared papers)Thomas H. Pillow (6 shared papers)Surinder Kaur (2 shared papers)Mehraban Khosraviani (1 shared paper)
- Journals
- Bioconjugate Chemistry (4 papers)Drug Metabolism and Disposition (4 papers)Bioanalysis (3 papers)Analytical Chemistry (3 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Dian Su
26 papers receiving 858 citations
Peers
Comparison fields: 5 of 52
- Radiology, Nuclear Medicine and Imaging 416
- Immunology 264
- Biomaterials 90
- Spectroscopy 90
- Molecular Biology 241
Countries citing papers authored by Dian Su
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
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.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 123 | |
| 2 | 2017 | 94 | |
| 3 | 2014 | 93 | |
| 4 | 2018 | 69 | |
| 5 | 2016 | 53 | |
| 6 | 2017 | 51 | |
| 7 | 2022 | 50 | |
| 8 | 2017 | 47 | |
| 9 | 2018 | 36 | |
| 10 | 2019 | 35 | |
| 11 | 2017 | 34 | |
| 12 | 2018 | 31 | |
| 13 | 2019 | 28 | |
| 14 | 2018 | 26 | |
| 15 | 2022 | 25 | |
| 16 | 2015 | 23 | |
| 17 | 2019 | 18 | |
| 18 | 2021 | 16 | |
| 19 | 2020 | 14 | |
| 20 | 2018 | 13 |
About Dian Su
Dian Su is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Pharmacology, Organic Chemistry and Molecular Biology, having authored 26 papers that have together received 923 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Biosimilars and Bioanalytical Methods (7 papers), Synthesis and pharmacology of benzodiazepine derivatives (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Chemical Synthesis and Analysis (4 papers), Protein Degradation and Inhibitors (3 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (416 citations), Immunology (264 citations), Biomaterials (90 citations), Spectroscopy (90 citations) and Molecular Biology (241 citations). Dian Su has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Donglu Zhang, Shang‐Fan Yu, Keyang Xu, Siamak Cyrus Khojasteh, Carl Ng, Thomas H. Pillow, Surinder Kaur, Mehraban Khosraviani, Jack Sadowsky and Peter S. Dragovich. Their work appears in journals such as Bioconjugate Chemistry, Drug Metabolism and Disposition, Bioanalysis, Analytical Chemistry and Journal of Medicinal Chemistry.
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.