Min Cui
Impact in
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- Lung Cancer Research Studies
- Peptidase Inhibition and Analysis
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- Neuroendocrine Tumor Research Advances
Papers in
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- Gastric Cancer Management and Outcomes 3
- Oncology 6
- Lung Cancer Research Studies 3
- Peptidase Inhibition and Analysis 1
- Co-authors
- David MacPherson (2 shared papers)Arnaud Augert (2 shared papers)Michael Rongione (1 shared paper)Nicholas T. Ingolia (1 shared paper)Alexander Yu. Nikitin (1 shared paper)Susan Parazzoli (1 shared paper)Karina L. Conkrite (1 shared paper)Xiaofei Wang (1 shared paper)
- Journals
- Molecular Cancer Research (1 paper)Journal of Thoracic Oncology (1 paper)The American Journal of Surgical Pathology (1 paper)CardioVascular and Interventional Radiology (1 paper)Human Pathology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Min Cui
13 papers receiving 244 citations
Peers
Comparison fields: 5 of 41
- Oncology 156
- Epidemiology 84
- Pulmonary and Respiratory Medicine 72
- Molecular Biology 111
- Cancer Research 24
Countries citing papers authored by Min Cui
This map shows the geographic impact of Min Cui'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 Min Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Cui more than expected).
Fields of papers citing papers by Min Cui
This network shows the impact of papers produced by Min Cui. 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 Min Cui. The network helps show where Min Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Cui, 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 | 2014 | 98 | |
| 2 | 2016 | 73 | |
| 3 | 2017 | 23 | |
| 4 | 2015 | 22 | |
| 5 | 2020 | 9 | |
| 6 | 2017 | 6 | |
| 7 | 2021 | 5 | |
| 8 | 2023 | 3 | |
| 9 | Vascular thrombosis and vasculitis in the gastrointestinal tract are associated with poor prognosis in patients with COVID-19. | 2021 | 3 |
| 10 | 2025 | 2 | |
| 11 | 2018 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2019 | 0 | |
| 17 | 2022 | 0 |
About Min Cui
Min Cui is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Epidemiology, Molecular Biology and Pathology and Forensic Medicine, having authored 17 papers that have together received 247 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (5 papers), Genetic factors in colorectal cancer (3 papers), Lung Cancer Research Studies (3 papers), Gastric Cancer Management and Outcomes (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Chromatin Remodeling and Cancer (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Oncology (156 citations), Epidemiology (84 citations), Pulmonary and Respiratory Medicine (72 citations), Molecular Biology (111 citations) and Cancer Research (24 citations). Min Cui has collaborated with scholars based in United States and China. Frequent co-authors include David MacPherson, Arnaud Augert, Michael Rongione, Nicholas T. Ingolia, Alexander Yu. Nikitin, Susan Parazzoli, Karina L. Conkrite, Xiaofei Wang, ZhongXiang Zhang and Gary Wildey. Their work appears in journals such as Molecular Cancer Research, Journal of Thoracic Oncology, The American Journal of Surgical Pathology, CardioVascular and Interventional Radiology and Human Pathology.
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.