Chloe Gui
Impact in
-
- Glioma Diagnosis and Treatment
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
Papers in
- Epidemiology 15
- Meningioma and schwannoma management 15
- Genetics 6
- Glioma Diagnosis and Treatment 6
- Co-authors
- Joseph F. Megyesi (3 shared papers)Jonathan C. Lau (3 shared papers)Abdul Momen (1 shared paper)Elodie Masson (1 shared paper)Ivan George Fantus (1 shared paper)Eric A. Shikatani (1 shared paper)Susan E. Quaggin (1 shared paper)Rohan John (1 shared paper)
- Journals
- Neuro-Oncology (6 papers)Neuro-Oncology Advances (3 papers)The Lancet Oncology (2 papers)Journal of neurosurgery (2 papers)Journal of Neuro-Oncology (2 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Chloe Gui
23 papers receiving 342 citations
Chloe Gui's Hit Papers
Peers
Comparison fields: 5 of 52
- Genetics 53
- Nephrology 52
- Epidemiology 135
- Health Informatics 7
- Neurology 11
Countries citing papers authored by Chloe Gui
This map shows the geographic impact of Chloe Gui'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 Chloe Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chloe Gui more than expected).
Fields of papers citing papers by Chloe Gui
This network shows the impact of papers produced by Chloe Gui. 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 Chloe Gui. The network helps show where Chloe Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Chloe Gui, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 92 | |
| 2 | Meningioma: International Consortium on Meningiomas consensus review on scientific advances and treatment paradigms for clinicians, researchers, and patients Hit paper breakdown → | 2024 | 75 |
| 3 | 2024 | 40 | |
| 4 | 2017 | 26 | |
| 5 | 2018 | 22 | |
| 6 | 2019 | 21 | |
| 7 | 2014 | 16 | |
| 8 | 2023 | 11 | |
| 9 | 2024 | 11 | |
| 10 | 2025 | 7 | |
| 11 | 2018 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2017 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Chloe Gui
Chloe Gui is a scholar working on Epidemiology, Genetics, Neurology, Health Informatics and Anesthesiology and Pain Medicine, having authored 31 papers that have together received 348 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (15 papers), Glioma Diagnosis and Treatment (6 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Receptor Mechanisms and Signaling (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Bone Tumor Diagnosis and Treatments (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Genetics (53 citations), Nephrology (52 citations), Epidemiology (135 citations), Health Informatics (7 citations) and Neurology (11 citations). Chloe Gui has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Joseph F. Megyesi, Jonathan C. Lau, Abdul Momen, Elodie Masson, Ivan George Fantus, Eric A. Shikatani, Susan E. Quaggin, Rohan John, Anu Shah and Mansoor Husain. Their work appears in journals such as Neuro-Oncology, Neuro-Oncology Advances, The Lancet Oncology, Journal of neurosurgery and Journal of Neuro-Oncology.
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.