Git Chung
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
-
- Drug Transport and Resistance Mechanisms
Papers in
- Oncology 7
- Drug Transport and Resistance Mechanisms 7
-
- Metabolism and Genetic Disorders 3
- Co-authors
- Colin Brown (9 shared papers)Sarah Elizabeth Jenkinson (1 shared paper)Caroline Guat Lay Lee (2 shared papers)Katherine S. Johnson (1 shared paper)Sarah Billington (1 shared paper)Jashvant D. Unadkat (1 shared paper)Edward J. Kelly (1 shared paper)Bhagwat Prasad (1 shared paper)
- Journals
- Drug Metabolism and Disposition (2 papers)Physical Review Letters (2 papers)Investigative Ophthalmology & Visual Science (1 paper)Nature Metabolism (1 paper)Pflügers Archiv - European Journal of Physiology (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Git Chung
17 papers receiving 603 citations
Peers
Comparison fields: 5 of 82
- Pharmacology 66
- Oncology 146
- Nephrology 38
- Pediatrics, Perinatology and Child Health 86
- Molecular Biology 326
Countries citing papers authored by Git Chung
This map shows the geographic impact of Git Chung'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 Git Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Git Chung more than expected).
Fields of papers citing papers by Git Chung
This network shows the impact of papers produced by Git Chung. 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 Git Chung. The network helps show where Git Chung may publish in the future.
Co-authors
The 25 scholars most cited alongside Git Chung, 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 | 2018 | 170 | |
| 2 | 2012 | 157 | |
| 3 | 2016 | 121 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 25 | |
| 6 | 2023 | 25 | |
| 7 | 2013 | 18 | |
| 8 | 2021 | 18 | |
| 9 | 2018 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2018 | 9 | |
| 12 | 2022 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2024 | 2 | |
| 17 | Enhancing immune function of hiPSC-derived retinal organoids by incorporating microglial cells | 2020 | 1 |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Git Chung
Git Chung is a scholar working on Oncology, Clinical Biochemistry, Nuclear and High Energy Physics, Hepatology and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 616 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (7 papers), Retinal Development and Disorders (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Metabolism and Genetic Disorders (3 papers), High-Energy Particle Collisions Research (2 papers), Liver physiology and pathology (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Pharmacology (66 citations), Oncology (146 citations), Nephrology (38 citations), Pediatrics, Perinatology and Child Health (86 citations) and Molecular Biology (326 citations). Git Chung has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Colin Brown, Sarah Elizabeth Jenkinson, Caroline Guat Lay Lee, Katherine S. Johnson, Sarah Billington, Jashvant D. Unadkat, Edward J. Kelly, Bhagwat Prasad, Jonathan Himmelfarb and Matthew P. Wagoner. Their work appears in journals such as Drug Metabolism and Disposition, Physical Review Letters, Investigative Ophthalmology & Visual Science, Nature Metabolism and Pflügers Archiv - European Journal of Physiology.
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.