Su Qu
Impact in
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
-
- MicroRNA in disease regulation
Papers in
-
- Pluripotent Stem Cells Research 3
- Metabolism, Diabetes, and Cancer 2
- Oncology 7
- CAR-T cell therapy research 4
- Co-authors
- Fahri Saatcioglu (12 shared papers)Jun Tian (6 shared papers)Lei Chen (7 shared papers)Yang Jin (7 shared papers)Gunhild M. Mælandsmo (6 shared papers)Leonardo A. Meza‐Zepeda (1 shared paper)Kunlong Yang (3 shared papers)Håvard E. Danielsen (2 shared papers)
- Journals
- PLoS ONE (4 papers)Applied Microbiology and Biotechnology (3 papers)Blood (2 papers)Frontiers in Microbiology (2 papers)Metabolism (1 paper)
- Partner nations
- ChinaNorwayUnited States
In The Last Decade
Su Qu
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Cell Biology 176
- Cancer Research 124
- Oncology 196
- Molecular Biology 510
- Food Science 107
Countries citing papers authored by Su Qu
This map shows the geographic impact of Su Qu'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 Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Qu more than expected).
Fields of papers citing papers by Su Qu
This network shows the impact of papers produced by Su Qu. 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 Qu. The network helps show where Su Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Qu, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 184 | |
| 2 | 2019 | 85 | |
| 3 | 2013 | 75 | |
| 4 | 2012 | 72 | |
| 5 | 2010 | 57 | |
| 6 | 2013 | 55 | |
| 7 | 2017 | 55 | |
| 8 | 2013 | 52 | |
| 9 | 2015 | 51 | |
| 10 | 2018 | 49 | |
| 11 | 2010 | 47 | |
| 12 | 2020 | 46 | |
| 13 | 2019 | 45 | |
| 14 | 2020 | 36 | |
| 15 | 2022 | 34 | |
| 16 | 2020 | 32 | |
| 17 | 2019 | 29 | |
| 18 | 2010 | 27 | |
| 19 | 2017 | 25 | |
| 20 | 2009 | 23 |
About Su Qu
Su Qu is a scholar working on Molecular Biology, Oncology, Epidemiology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (4 papers), Antifungal resistance and susceptibility (4 papers), CAR-T cell therapy research (4 papers), Fungal Infections and Studies (3 papers), Multiple Myeloma Research and Treatments (3 papers), Pluripotent Stem Cells Research (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Medical and Biological Ozone Research (2 papers). The work is most often cited by research in Cell Biology (176 citations), Cancer Research (124 citations), Oncology (196 citations), Molecular Biology (510 citations) and Food Science (107 citations). Su Qu has collaborated with scholars based in China, Norway and United States. Frequent co-authors include Fahri Saatcioglu, Jun Tian, Lei Chen, Yang Jin, Gunhild M. Mælandsmo, Leonardo A. Meza‐Zepeda, Kunlong Yang, Håvard E. Danielsen, Yong‐Xin Li and Xia Sheng. Their work appears in journals such as PLoS ONE, Applied Microbiology and Biotechnology, Blood, Frontiers in Microbiology and Metabolism.
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.