Frank Chinga
Impact in
- Nephrology top 1%
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
- Dialysis and Renal Disease Management
- Renal Diseases and Glomerulopathies
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
-
- Renal and related cancers 3
- Pluripotent Stem Cells Research 1
- CRISPR and Genetic Engineering 1
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- Chronic Kidney Disease and Diabetes 3
- Co-authors
- Katalin Suszták (4 shared papers)Seung Hyeok Han (4 shared papers)Hyun Mi Kang (3 shared papers)Jianling Tao (2 shared papers)Peter S. Choi (1 shared paper)James Pullman (1 shared paper)Erwin P. Böttinger (1 shared paper)Ira J. Goldberg (1 shared paper)
- Journals
- Journal of the American Society of Nephrology (2 papers)Nature Cell Biology (1 paper)Nature Medicine (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Frank Chinga
5 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Nephrology 576
- Clinical Biochemistry 169
- Molecular Biology 860
- Biochemistry 90
- Cancer Research 184
Countries citing papers authored by Frank Chinga
This map shows the geographic impact of Frank Chinga'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 Frank Chinga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Chinga more than expected).
Fields of papers citing papers by Frank Chinga
This network shows the impact of papers produced by Frank Chinga. 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 Frank Chinga. The network helps show where Frank Chinga may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Chinga, 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 | Defective fatty acid oxidation in renal tubular epithelial cells has a key role in kidney fibrosis development Hit paper breakdown → | 2014 | 1119 |
| 2 | 2019 | 167 | |
| 3 | 2016 | 141 | |
| 4 | 2017 | 128 | |
| 5 | 2015 | 101 |
About Frank Chinga
Frank Chinga is a scholar working on Molecular Biology, Nephrology, Genetics, Surgery and Pulmonary and Respiratory Medicine, having authored 5 papers that have together received 1.7k indexed citations. Recurring topics across this work include Renal and related cancers (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Genetic and Kidney Cyst Diseases (2 papers), Pluripotent Stem Cells Research (1 paper), CRISPR and Genetic Engineering (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Renal cell carcinoma treatment (1 paper) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Nephrology (576 citations), Clinical Biochemistry (169 citations), Molecular Biology (860 citations), Biochemistry (90 citations) and Cancer Research (184 citations). Frank Chinga has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Katalin Suszták, Seung Hyeok Han, Hyun Mi Kang, Jianling Tao, Peter S. Choi, James Pullman, Erwin P. Böttinger, Ira J. Goldberg, Kumar Sharma and Ae Seo Deok Park. Their work appears in journals such as Journal of the American Society of Nephrology, Nature Cell Biology, Nature Medicine and Cell Reports.
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.