Su An
Impact in
-
- Receptor Mechanisms and Signaling
- RNA modifications and cancer
- PI3K/AKT/mTOR signaling in cancer
- Melanoma and MAPK Pathways
- RNA Research and Splicing
- Protein Kinase Regulation and GTPase Signaling
Papers in
-
- Melanoma and MAPK Pathways 8
- Receptor Mechanisms and Signaling 8
- Protein Kinase Regulation and GTPase Signaling 7
- PI3K/AKT/mTOR signaling in cancer 4
-
- Computational Drug Discovery Methods 9
- Co-authors
- Tian‐Rui Xu (29 shared papers)Xiao‐Xi Guo (23 shared papers)Richard J. Ward (13 shared papers)Ying Liu (11 shared papers)Yang Yang (14 shared papers)Qian Hao (14 shared papers)Jiaojiao Yu (4 shared papers)Yang Yang (1 shared paper)
- Journals
- FEBS Journal (2 papers)Biochemical Pharmacology (2 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Pineal Research (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)
- Partner nations
- ChinaUnited KingdomSouth Korea
In The Last Decade
Su An
35 papers receiving 654 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 437
- Cancer Research 74
- Immunology and Allergy 26
- Cellular and Molecular Neuroscience 66
- Oncology 97
Countries citing papers authored by Su An
This map shows the geographic impact of Su An'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 Su An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su An more than expected).
Fields of papers citing papers by Su An
This network shows the impact of papers produced by Su An. 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 Su An. The network helps show where Su An may publish in the future.
Co-authors
The 25 scholars most cited alongside Su An, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 99 | |
| 2 | 2020 | 73 | |
| 3 | 2011 | 54 | |
| 4 | 2012 | 49 | |
| 5 | 2021 | 47 | |
| 6 | 2017 | 47 | |
| 7 | 2015 | 28 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 2018 | 17 | |
| 12 | 2015 | 17 | |
| 13 | 2016 | 16 | |
| 14 | 2014 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2024 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2024 | 10 | |
| 20 | 2023 | 10 |
About Su An
Su An is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Oncology, having authored 35 papers that have together received 656 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Melanoma and MAPK Pathways (8 papers), Receptor Mechanisms and Signaling (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Cancer Mechanisms and Therapy (5 papers), Neuropeptides and Animal Physiology (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Molecular Biology (437 citations), Cancer Research (74 citations), Immunology and Allergy (26 citations), Cellular and Molecular Neuroscience (66 citations) and Oncology (97 citations). Su An has collaborated with scholars based in China, United Kingdom and South Korea. Frequent co-authors include Tian‐Rui Xu, Xiao‐Xi Guo, Richard J. Ward, Ying Liu, Yang Yang, Qian Hao, Jiaojiao Yu, Yang Yang, Ying Liu and Yin Liu. Their work appears in journals such as FEBS Journal, Biochemical Pharmacology, Biochemical and Biophysical Research Communications, Journal of Pineal Research and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.
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.