Brian N. Ling
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Douglas C. EatonMario B. MarreroHe‐Ping MaKenneth E. KokkoJoyce B. HarpBernhard SchiefferBing LiKenneth E. Bernstein
- Topics
- Ion channel regulation and function (20 papers)Ion Transport and Channel Regulation (13 papers)Renin-Angiotensin System Studies (7 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Brian N. Ling
38 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.1k
- Cardiology and Cardiovascular Medicine 336
- Pulmonary and Respiratory Medicine 275
- Physiology 222
- Cellular and Molecular Neuroscience 214
Countries citing papers authored by Brian N. Ling
This map shows the geographic impact of Brian N. Ling'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 Brian N. Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian N. Ling more than expected).
Fields of papers citing papers by Brian N. Ling
This network shows the impact of papers produced by Brian N. Ling. 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 Brian N. Ling. The network helps show where Brian N. Ling may publish in the future.
Co-authorship network of co-authors of Brian N. Ling
This figure shows the co-authorship network connecting the top 25 collaborators of Brian N. Ling. A scholar is included among the top collaborators of Brian N. Ling 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 Brian N. Ling. Brian N. Ling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 69 | |
| 4 | 53 | |
| 5 | 204 | |
| 6 | Ca2+ channel activation by pdgf-induced tyrosine phosphorylation and ras gtp-binding proteins in rat glomerular mesangial cells | 1 |
| 7 | 13 | |
| 8 | 15 | |
| 9 | 23 | |
| 10 | 34 | |
| 11 | 8 | |
| 12 | 59 | |
| 13 | 26 | |
| 14 | 33 | |
| 15 | 37 | |
| 16 | 35 | |
| 17 | 47 | |
| 18 | 55 | |
| 19 | 37 | |
| 20 | 4 |
About Brian N. Ling
Brian N. Ling is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ion channel regulation and function (20 papers), Ion Transport and Channel Regulation (13 papers) and Renin-Angiotensin System Studies (7 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Physiology (69 citations) and Cardiology and Cardiovascular Medicine (336 citations). Brian N. Ling has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Douglas C. Eaton, Mario B. Marrero, He‐Ping Ma, Kenneth E. Kokko, Joyce B. Harp, Bernhard Schieffer, Bernhard Schieffer, Bing Li, Kenneth E. Bernstein and Cynthia F. Hinton. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Kidney International.
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.