Ruby Kuang
Impact in
- Urology top 10%
- Urinary Bladder and Prostate Research
-
- Glioma Diagnosis and Treatment
Papers in
- Genetics 3
- Glioma Diagnosis and Treatment 3
-
- Pediatric Urology and Nephrology Studies 3
- Co-authors
- Arman Jahangiri (5 shared papers)Manish Kumar Aghi (5 shared papers)Patrick Michael Flanigan (4 shared papers)Brandyn A. Castro (4 shared papers)Garima Yagnik (3 shared papers)Michael D. De Lay (3 shared papers)Maxim K. Sidorov (2 shared papers)Smita Mascharak (2 shared papers)
- Journals
- Urology (3 papers)Neurosurgery (2 papers)Journal of Pediatric Urology (2 papers)Journal of Endourology (2 papers)The Journal of Urology (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Ruby Kuang
16 papers receiving 387 citations
Peers
Comparison fields: 5 of 56
- Urology 51
- Genetics 76
- Immunology 131
- Cancer Research 50
- Oncology 59
Countries citing papers authored by Ruby Kuang
This map shows the geographic impact of Ruby Kuang'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 Ruby Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruby Kuang more than expected).
Fields of papers citing papers by Ruby Kuang
This network shows the impact of papers produced by Ruby Kuang. 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 Ruby Kuang. The network helps show where Ruby Kuang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruby Kuang, 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 | 2017 | 121 | |
| 2 | 2017 | 59 | |
| 3 | 2017 | 51 | |
| 4 | 2020 | 49 | |
| 5 | 2017 | 32 | |
| 6 | 2017 | 25 | |
| 7 | 2019 | 20 | |
| 8 | 2020 | 13 | |
| 9 | 2015 | 9 | |
| 10 | 2024 | 3 | |
| 11 | Novel approaches in genetic characterization and targeted therapy for brain metastases. | 2016 | 3 |
| 12 | 2024 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Ruby Kuang
Ruby Kuang is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Immunology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 391 indexed citations. Recurring topics across this work include Pediatric Urology and Nephrology Studies (3 papers), Glioma Diagnosis and Treatment (3 papers), Macrophage Migration Inhibitory Factor (2 papers), Nuclear Receptors and Signaling (2 papers), Immune Cell Function and Interaction (1 paper), Shoulder and Clavicle Injuries (1 paper), Kidney Stones and Urolithiasis Treatments (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Urology (51 citations), Genetics (76 citations), Immunology (131 citations), Cancer Research (50 citations) and Oncology (59 citations). Ruby Kuang has collaborated with scholars based in United States and Germany. Frequent co-authors include Arman Jahangiri, Manish Kumar Aghi, Patrick Michael Flanigan, Brandyn A. Castro, Garima Yagnik, Michael D. De Lay, Maxim K. Sidorov, Smita Mascharak, Shruti Shrivastav and Hideho Okada. Their work appears in journals such as Urology, Neurosurgery, Journal of Pediatric Urology, Journal of Endourology and The Journal of Urology.
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.