Dian Su
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
Papers in
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- Protein Degradation and Inhibitors 2
- Biochemical and Structural Characterization 2
- Cancer therapeutics and mechanisms 2
- Oncology 11
- HER2/EGFR in Cancer Research 10
- Cancer Treatment and Pharmacology 2
- Co-authors
- Donglu Zhang (8 shared papers)Shang‐Fan Yu (5 shared papers)S. Cyrus Khojasteh (6 shared papers)Keyang Xu (4 shared papers)Thomas H. Pillow (6 shared papers)Carl Ng (3 shared papers)Surinder Kaur (2 shared papers)Peter S. Dragovich (5 shared papers)
- Journals
- Drug Metabolism and Disposition (4 papers)Analytical Chemistry (3 papers)Molecular Cancer Therapeutics (1 paper)mAbs (1 paper)CPT Pharmacometrics & Systems Pharmacology (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Dian Su
15 papers receiving 337 citations
Peers
Comparison fields: 5 of 49
- Radiology, Nuclear Medicine and Imaging 223
- Oncology 201
- Immunology 74
- Molecular Biology 184
- Pharmacology 18
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 92 | |
| 2 | 2017 | 47 | |
| 3 | 2016 | 42 | |
| 4 | 2018 | 31 | |
| 5 | 2019 | 24 | |
| 6 | 2018 | 23 | |
| 7 | 2015 | 22 | |
| 8 | 2018 | 22 | |
| 9 | 2021 | 15 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 8 | |
| 13 | 2021 | 6 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2025 | 0 |
About Dian Su
Dian Su is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Pharmacology, having authored 16 papers that have together received 363 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Biosimilars and Bioanalytical Methods (3 papers), Cancer Treatment and Pharmacology (2 papers), Protein Degradation and Inhibitors (2 papers), Biochemical and Structural Characterization (2 papers), Cancer therapeutics and mechanisms (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (223 citations), Oncology (201 citations), Immunology (74 citations), Molecular Biology (184 citations) and Pharmacology (18 citations). Dian Su has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Donglu Zhang, Shang‐Fan Yu, S. Cyrus Khojasteh, Keyang Xu, Thomas H. Pillow, Carl Ng, Surinder Kaur, Peter S. Dragovich, Yong Ma and Mehraban Khosraviani. Their work appears in journals such as Drug Metabolism and Disposition, Analytical Chemistry, Molecular Cancer Therapeutics, mAbs and CPT Pharmacometrics & Systems Pharmacology.
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.