Jen‐Jar Lin
- Nephrology top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Neurology top 10%
- Pediatrics, Perinatology and Child Health
- Co-authors
- A. BidaniPaul C. ChurchillQun LuBeverly G. JeansonneRodney TatumYanhua ChenYuguo ZhangKenneth J. Salleng
- Topics
- Renal Diseases and Glomerulopathies (4 papers)Renal Transplantation Outcomes and Treatments (3 papers)Neonatal Health and Biochemistry (3 papers)
- Cited by
- NephrologyNeurologyPhysiology
- Partner nations
- United StatesNorway
In The Last Decade
Jen‐Jar Lin
22 papers receiving 366 citations
Peers
Comparison fields: 5 of 65
- Nephrology 124
- Molecular Biology 108
- Pulmonary and Respiratory Medicine 89
- Neurology 77
- Pediatrics, Perinatology and Child Health 56
Countries citing papers authored by Jen‐Jar Lin
This map shows the geographic impact of Jen‐Jar 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 Jen‐Jar Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jen‐Jar Lin more than expected).
Fields of papers citing papers by Jen‐Jar Lin
This network shows the impact of papers produced by Jen‐Jar 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 Jen‐Jar Lin. The network helps show where Jen‐Jar Lin may publish in the future.
Co-authorship network of co-authors of Jen‐Jar Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Jen‐Jar Lin. A scholar is included among the top collaborators of Jen‐Jar Lin 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 Jen‐Jar Lin. Jen‐Jar Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | Abstract 10275: The Role and Mechanism of Chronic Ca2+/Calmodulin-Dependent Protein Kinase II Inhibition in a Mouse Model of Diabetic Cardiomyopathy | 1 |
| 6 | 15 | |
| 7 | 15 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 5 | |
| 12 | 24 | |
| 13 | 91 | |
| 14 | 3 | |
| 15 | 31 | |
| 16 | 12 | |
| 17 | 5 | |
| 18 | Insulin-like growth factor-1 enhances epidermal growth factor receptor activation and renal tubular cell regeneration in postischemic acute renal failure. | 43 |
| 19 | 43 | |
| 20 | Effect of theophylline on the initiation phase of postischemic acute renal failure in rats. | 44 |
About Jen‐Jar Lin
Jen‐Jar Lin is a scholar working on Nephrology, Transplantation and Clinical Biochemistry, having authored 23 papers that have together received 377 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (4 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Nephrology (124 citations), Neurology (77 citations) and Physiology (24 citations). Jen‐Jar Lin has collaborated with scholars based in United States and Norway. Frequent co-authors include A. Bidani, Paul C. Churchill, Qun Lu, Beverly G. Jeansonne, Rodney Tatum, Yanhua Chen, Yuguo Zhang, Kenneth J. Salleng, Lei Ding and Zhe Lü. Their work appears in journals such as Circulation, Scientific Reports and Annals of the New York Academy of Sciences.
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.