Nancy Su
Impact in
- Molecular Biology top 10%
- Cell death mechanisms and regulation
- Chemical Synthesis and Analysis
- Protein Degradation and Inhibitors
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
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- Computational Drug Discovery Methods 5
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- Cell death mechanisms and regulation 9
- Protein Degradation and Inhibitors 4
- Chemical Synthesis and Analysis 3
- Co-authors
- Richard J. Heath (1 shared paper)Charles O. Rock (1 shared paper)Christopher K. Murphy (1 shared paper)Claudio E. Chuaqui (3 shared papers)Michelle L. Lamb (4 shared papers)Michael J. Zinda (2 shared papers)Sharon Tentarelli (2 shared papers)Neil P. Grimster (2 shared papers)
- Journals
- ACS Medicinal Chemistry Letters (5 papers)Journal of Medicinal Chemistry (4 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)Clinical Cancer Research (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Nancy Su
23 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 772
- Hematology 149
- Biochemistry 60
- Organic Chemistry 298
- Computational Theory and Mathematics 146
Countries citing papers authored by Nancy Su
This map shows the geographic impact of Nancy 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 Nancy Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Su more than expected).
Fields of papers citing papers by Nancy Su
This network shows the impact of papers produced by Nancy 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 Nancy Su. The network helps show where Nancy Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 413 | |
| 2 | 2019 | 222 | |
| 3 | 2016 | 180 | |
| 4 | 2000 | 167 | |
| 5 | 2013 | 94 | |
| 6 | 2008 | 89 | |
| 7 | 2016 | 57 | |
| 8 | 2020 | 57 | |
| 9 | 2015 | 56 | |
| 10 | 2015 | 52 | |
| 11 | 2017 | 50 | |
| 12 | 2007 | 47 | |
| 13 | 2012 | 38 | |
| 14 | 2014 | 38 | |
| 15 | 2018 | 38 | |
| 16 | 2019 | 21 | |
| 17 | 2024 | 14 | |
| 18 | 2004 | 13 | |
| 19 | 2024 | 9 | |
| 20 | 2016 | 6 |
About Nancy Su
Nancy Su is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Oncology and Cell Biology, having authored 23 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (9 papers), Computational Drug Discovery Methods (5 papers), Protein Degradation and Inhibitors (4 papers), Synthesis and biological activity (4 papers), Click Chemistry and Applications (3 papers), Chemical Synthesis and Analysis (3 papers), Microtubule and mitosis dynamics (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Molecular Biology (772 citations), Hematology (149 citations), Biochemistry (60 citations), Organic Chemistry (298 citations) and Computational Theory and Mathematics (146 citations). Nancy Su has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Richard J. Heath, Charles O. Rock, Christopher K. Murphy, Claudio E. Chuaqui, Michelle L. Lamb, Michael J. Zinda, Sharon Tentarelli, Neil P. Grimster, Brian M. Aquila and Matthew A. Belmonte. Their work appears in journals such as ACS Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Clinical Cancer Research and Journal of Biological 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.