Dan Su
Impact in
- Oncology top 10%
- PARP inhibition in cancer therapy
-
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
Papers in
-
- DNA Repair Mechanisms 10
- CRISPR and Genetic Engineering 8
- Ubiquitin and proteasome pathways 5
- Cancer-related gene regulation 4
- Oncology 13
- PARP inhibition in cancer therapy 3
- Co-authors
- Junjie Chen (17 shared papers)Mengfan Tang (16 shared papers)Chao Wang (15 shared papers)Xu Feng (15 shared papers)Huimin Zhang (12 shared papers)Zhen Chen (10 shared papers)Litong Nie (11 shared papers)Yun Xiong (7 shared papers)
- Journals
- Nucleic Acids Research (4 papers)DNA repair (2 papers)Cancer Research (2 papers)Molecular & Cellular Proteomics (2 papers)Molecular Cell (2 papers)
- Partner nations
- United StatesChinaMacao
In The Last Decade
Dan Su
39 papers receiving 748 citations
Peers
Comparison fields: 5 of 76
- Oncology 234
- Molecular Biology 510
- Genetics 57
- Immunology 92
- Cancer Research 55
Countries citing papers authored by Dan Su
This map shows the geographic impact of Dan 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 Dan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Su more than expected).
Fields of papers citing papers by Dan Su
This network shows the impact of papers produced by Dan 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 Dan Su. The network helps show where Dan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 102 | |
| 2 | 2016 | 61 | |
| 3 | 2019 | 58 | |
| 4 | 2017 | 54 | |
| 5 | 2015 | 43 | |
| 6 | 2022 | 33 | |
| 7 | 2022 | 31 | |
| 8 | 2020 | 28 | |
| 9 | 2022 | 27 | |
| 10 | 2020 | 27 | |
| 11 | 2021 | 21 | |
| 12 | 2020 | 19 | |
| 13 | 2018 | 19 | |
| 14 | 2020 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2024 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2023 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2022 | 15 |
About Dan Su
Dan Su is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Epidemiology, having authored 42 papers that have together received 755 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), CRISPR and Genetic Engineering (8 papers), Ubiquitin and proteasome pathways (5 papers), Cancer-related gene regulation (4 papers), Microtubule and mitosis dynamics (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Autophagy in Disease and Therapy (3 papers) and PARP inhibition in cancer therapy (3 papers). The work is most often cited by research in Oncology (234 citations), Molecular Biology (510 citations), Genetics (57 citations), Immunology (92 citations) and Cancer Research (55 citations). Dan Su has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Junjie Chen, Mengfan Tang, Chao Wang, Xu Feng, Huimin Zhang, Zhen Chen, Litong Nie, Yun Xiong, Traver Hart and Mrinal Srivastava. Their work appears in journals such as Nucleic Acids Research, DNA repair, Cancer Research, Molecular & Cellular Proteomics and Molecular Cell.
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.