Qingyan Au
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
-
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
-
- Toxin Mechanisms and Immunotoxins 2
- Co-authors
- Jack R. Barber (7 shared papers)Shi Chung Ng (7 shared papers)Yingjia Zhang (2 shared papers)Menghua Zhang (1 shared paper)Bin Zhang (1 shared paper)Bin Zhang (2 shared papers)Pedro Aza‐Blanc (2 shared papers)Valentina Gandin (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)OncoImmunology (2 papers)SLAS DISCOVERY (2 papers)Biochemical and Biophysical Research Communications (2 papers)Oncotarget (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Qingyan Au
15 papers receiving 405 citations
Peers
Comparison fields: 5 of 59
- Geriatrics and Gerontology 60
- Oncology 124
- Pathology and Forensic Medicine 78
- Immunology 87
- Physiology 13
Countries citing papers authored by Qingyan Au
This map shows the geographic impact of Qingyan Au'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 Qingyan Au with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingyan Au more than expected).
Fields of papers citing papers by Qingyan Au
This network shows the impact of papers produced by Qingyan Au. 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 Qingyan Au. The network helps show where Qingyan Au may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingyan Au, 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 | 2019 | 117 | |
| 2 | 2009 | 75 | |
| 3 | 2013 | 56 | |
| 4 | 2021 | 43 | |
| 5 | 2009 | 22 | |
| 6 | 2016 | 19 | |
| 7 | 2009 | 17 | |
| 8 | 2008 | 13 | |
| 9 | 2009 | 13 | |
| 10 | 2010 | 13 | |
| 11 | 2023 | 13 | |
| 12 | 2009 | 11 | |
| 13 | 2021 | 8 | |
| 14 | 2024 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2025 | 0 |
About Qingyan Au
Qingyan Au is a scholar working on Aging, Immunology, Cell Biology, Molecular Biology and Physical and Theoretical Chemistry, having authored 16 papers that have together received 423 indexed citations. Recurring topics across this work include Heat shock proteins research (6 papers), Cancer Genomics and Diagnostics (2 papers), thermodynamics and calorimetric analyses (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Geriatrics and Gerontology (60 citations), Oncology (124 citations), Pathology and Forensic Medicine (78 citations), Immunology (87 citations) and Physiology (13 citations). Qingyan Au has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Jack R. Barber, Shi Chung Ng, Yingjia Zhang, Menghua Zhang, Bin Zhang, Bin Zhang, Pedro Aza‐Blanc, Valentina Gandin, Shannon McLaughlan and Bin Zhang. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, OncoImmunology, SLAS DISCOVERY, Biochemical and Biophysical Research Communications and Oncotarget.
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.