Chia‐Ni Lin
Impact in
- Nephrology top 5%
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
-
- Tryptophan and brain disorders
Papers in
-
- Porphyrin Metabolism and Disorders 5
- Metabolomics and Mass Spectrometry Studies 2
- Heme Oxygenase-1 and Carbon Monoxide 2
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- Dialysis and Renal Disease Management 3
- Co-authors
- Hung‐Chou Kuo (9 shared papers)Daniel Chiu (3 shared papers)Gwendolyn A. McMillin (2 shared papers)Hsuan-Ting Huang (1 shared paper)Yur‐Ren Kuo (1 shared paper)Yu‐Ting Huang (1 shared paper)Yan Sun (1 shared paper)Szu‐Tah Chen (2 shared papers)
- Journals
- Cells (3 papers)Journal of Diabetes Investigation (2 papers)PLoS ONE (2 papers)Journal of Food and Drug Analysis (2 papers)Clinica Chimica Acta (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Chia‐Ni Lin
36 papers receiving 554 citations
Peers
Comparison fields: 5 of 98
- Nephrology 84
- Biological Psychiatry 27
- Clinical Biochemistry 42
- Physiology 80
- Nutrition and Dietetics 48
Countries citing papers authored by Chia‐Ni Lin
This map shows the geographic impact of Chia‐Ni Lin'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 Chia‐Ni Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Ni Lin more than expected).
Fields of papers citing papers by Chia‐Ni Lin
This network shows the impact of papers produced by Chia‐Ni Lin. 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 Chia‐Ni Lin. The network helps show where Chia‐Ni Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Ni Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 88 | |
| 2 | 2011 | 55 | |
| 3 | 2018 | 51 | |
| 4 | 2017 | 42 | |
| 5 | 2019 | 42 | |
| 6 | 2019 | 40 | |
| 7 | 2019 | 19 | |
| 8 | 2021 | 18 | |
| 9 | 2018 | 17 | |
| 10 | 2019 | 17 | |
| 11 | 2016 | 17 | |
| 12 | 2019 | 16 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2012 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2017 | 9 | |
| 19 | 2016 | 7 | |
| 20 | 2022 | 7 |
About Chia‐Ni Lin
Chia‐Ni Lin is a scholar working on Molecular Biology, Nephrology, Psychiatry and Mental health, Pulmonary and Respiratory Medicine and Neurology, having authored 37 papers that have together received 562 indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (5 papers), Epilepsy research and treatment (3 papers), Dialysis and Renal Disease Management (3 papers), Forensic Toxicology and Drug Analysis (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Trace Elements in Health (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Methemoglobinemia and Tumor Lysis Syndrome (2 papers). The work is most often cited by research in Nephrology (84 citations), Biological Psychiatry (27 citations), Clinical Biochemistry (42 citations), Physiology (80 citations) and Nutrition and Dietetics (48 citations). Chia‐Ni Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Hung‐Chou Kuo, Daniel Chiu, Gwendolyn A. McMillin, Hsuan-Ting Huang, Yur‐Ren Kuo, Yu‐Ting Huang, Yan Sun, Szu‐Tah Chen, William L. Roberts and I‐Wen Wu. Their work appears in journals such as Cells, Journal of Diabetes Investigation, PLoS ONE, Journal of Food and Drug Analysis and Clinica Chimica Acta.
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.