Git Chung

776 total citations
14 papers, 381 citations indexed

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 381 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), Metabolism and Genetic Disorders (3 papers) and Pharmacological Effects and Toxicity Studies (3 papers). Git Chung is often cited by papers focused on Drug Transport and Resistance Mechanisms (7 papers), Metabolism and Genetic Disorders (3 papers) and Pharmacological Effects and Toxicity Studies (3 papers). Git Chung collaborates with scholars based in United Kingdom, United States and India. Git Chung's co-authors include Colin Brown, Sarah Jenkinson, Caroline Lee, Edward J. Kelly, Jonathan Himmelfarb, Katherine Johnson, Jashvant D. Unadkat, Sarah Billington, Bhagwat Prasad and Akio Imanishi 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

Git Chung

13 papers receiving 372 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Git Chung United Kingdom 9 160 142 91 63 62 14 381
Raphael Voges Germany 11 174 1.1× 59 0.4× 66 0.7× 51 0.8× 21 0.3× 12 411
Elena Lyubimov Canada 8 121 0.8× 77 0.5× 33 0.4× 24 0.4× 19 0.3× 11 396
Miriam Huls Netherlands 6 147 0.9× 280 2.0× 144 1.6× 11 0.2× 52 0.8× 7 485
Yuji Morikawa Japan 11 256 1.6× 35 0.2× 85 0.9× 19 0.3× 27 0.4× 23 499
Gian Carlo Lunazzi Italy 14 205 1.3× 237 1.7× 129 1.4× 18 0.3× 36 0.6× 23 524
Viktoriia Starokozhko Netherlands 12 63 0.4× 50 0.4× 33 0.4× 71 1.1× 67 1.1× 18 328
Sharin E. Roth United States 12 88 0.6× 48 0.3× 39 0.4× 9 0.1× 105 1.7× 14 314
Anna Reznichenko Sweden 10 160 1.0× 39 0.3× 37 0.4× 14 0.2× 10 0.2× 18 445
Blanca Estela Bastidas‐Ramírez Mexico 14 112 0.7× 65 0.5× 14 0.2× 30 0.5× 27 0.4× 31 520
Machiel J. Hardonk Netherlands 13 108 0.7× 143 1.0× 38 0.4× 8 0.1× 89 1.4× 19 468

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).

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.

Co-authorship network of co-authors of Git Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Git Chung. A scholar is included among the top collaborators of Git Chung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Git Chung. Git Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Kunnen, Steven J., Jeffrey J. Sutherland, Panuwat Trairatphisan, et al.. (2025). Utilizing rat kidney gene co-expression networks to enhance safety assessment biomarker identification and human translation. iScience. 28(7). 112978–112978.
2.
Chichagova, Valeria, Μαρία Γεωργίου, Birthe Dorgau, et al.. (2023). Incorporating microglia‐like cells in human induced pluripotent stem cell‐derived retinal organoids. Journal of Cellular and Molecular Medicine. 27(3). 435–445. 21 indexed citations
3.
Mathialagan, Sumathy, et al.. (2023). Significance of Organic Anion Transporter 2 and Organic Cation Transporter 2 in Creatinine Clearance: Mechanistic Evaluation Using Freshly Prepared Human Primary Renal Proximal Tubule Cells. Journal of Pharmacology and Experimental Therapeutics. 388(1). 201–208. 3 indexed citations
4.
Sae‐Lee, Chanachai, et al.. (2022). Interdependent Transcription of a Natural Sense/Antisense Transcripts Pair (SLC34A1/PFN3). Non-Coding RNA. 8(1). 19–19. 4 indexed citations
6.
Γεωργίου, Μαρία, Grant L. Hughes, Edward I. Patterson, et al.. (2021). Sars-Cov-2 Infects an Upper Airway Model Derived from Induced Pluripotent Stem Cells. Stem Cells. 39(10). 1310–1321. 15 indexed citations
7.
Chichagova, Valeria, Μαρία Γεωργίου, Birthe Dorgau, et al.. (2020). Enhancing immune function of hiPSC-derived retinal organoids by incorporating microglial cells. Investigative Ophthalmology & Visual Science. 61(7). 3797–3797. 1 indexed citations
8.
Bajaj, Piyush, Git Chung, Tomoya Yukawa, et al.. (2020). Freshly isolated primary human proximal tubule cells as an in vitro model for the detection of renal tubular toxicity. Toxicology. 442. 152535–152535. 22 indexed citations
9.
Bartels, Michael, Colin Brown, Git Chung, et al.. (2020). Review of the pharmacokinetics and metabolism of triclopyr herbicide in mammals: Impact on safety assessments. Regulatory Toxicology and Pharmacology. 116. 104714–104714. 11 indexed citations
10.
Chung, Git, Colin Brown, Harma Ellens, et al.. (2018). Derivation of a System-Independent Ki for P-glycoprotein Mediated Digoxin Transport from System-Dependent IC50 Data. Drug Metabolism and Disposition. 46(3). 279–290. 8 indexed citations
11.
Mowbray, Catherine, Git Chung, Anna Stanton, et al.. (2018). High molecular weight hyaluronic acid: a two‐pronged protectant against infection of the urogenital tract?. Clinical & Translational Immunology. 7(6). e1021–e1021. 14 indexed citations
12.
Prasad, Bhagwat, Katherine Johnson, Sarah Billington, et al.. (2016). Abundance of Drug Transporters in the Human Kidney Cortex as Quantified by Quantitative Targeted Proteomics. Drug Metabolism and Disposition. 44(12). 1920–1924. 114 indexed citations
13.
Chung, Git, Simon Cockell, Loranne Agius, et al.. (2013). Utility of B-13 Progenitor-Derived Hepatocytes in Hepatotoxicity and Genotoxicity Studies. Toxicological Sciences. 137(2). 350–370. 17 indexed citations
14.
Jenkinson, Sarah, et al.. (2012). The limitations of renal epithelial cell line HK-2 as a model of drug transporter expression and function in the proximal tubule. Pflügers Archiv - European Journal of Physiology. 464(6). 601–611. 149 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026