Git Chung

14 papers and 359 indexed citations i.

About

Git Chung is a scholar working on Oncology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Git Chung has authored 14 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Git Chung’s work include Drug Transport and Resistance Mechanisms (7 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Metabolism and Genetic Disorders (3 papers). Git Chung is often cited by papers focused on Drug Transport and Resistance Mechanisms (7 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Metabolism and Genetic Disorders (3 papers). Git Chung collaborates with scholars based in United Kingdom, United States and Germany. Git Chung's co-authors include Colin Brown, Sarah Jenkinson, Caroline Lee, Edward J. Kelly, Katherine Johnson, Sarah Billington, Jashvant D. Unadkat, Bhagwat Prasad, Jonathan Himmelfarb and Tomoya Yukawa and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Stem Cells and Investigative Ophthalmology & Visual Science.

In The Last Decade

Co-authorship network of co-authors of Git Chung i

Fields of papers citing papers by Git Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Git Chung

Since Specialization
Citations

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).

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.

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2025