Steven D. Kahl
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Cell Biology top 2%
- Co-authors
- Kevin P. CampbellJames M. ErvastiKay OhlendieckKiichiro MatsumuraLarry C. BlaszczakTimothy I. MeierGenshi ZhaoKyle R. Gee
- Topics
- Adipose Tissue and Metabolism (10 papers)Muscle Physiology and Disorders (9 papers)Ion channel regulation and function (8 papers)
- Partner nations
- United StatesSpainSwitzerland
In The Last Decade
Steven D. Kahl
50 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 3.6k
- Cellular and Molecular Neuroscience 1.2k
- Physiology 886
- Cardiology and Cardiovascular Medicine 804
- Cell Biology 631
Countries citing papers authored by Steven D. Kahl
This map shows the geographic impact of Steven D. Kahl'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 Steven D. Kahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven D. Kahl more than expected).
Fields of papers citing papers by Steven D. Kahl
This network shows the impact of papers produced by Steven D. Kahl. 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 Steven D. Kahl. The network helps show where Steven D. Kahl may publish in the future.
Co-authorship network of co-authors of Steven D. Kahl
This figure shows the co-authorship network connecting the top 25 collaborators of Steven D. Kahl. A scholar is included among the top collaborators of Steven D. Kahl 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 Steven D. Kahl. Steven D. Kahl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 17 | |
| 3 | 36 | |
| 4 | 15 | |
| 5 | 19 | |
| 6 | 49 | |
| 7 | Basics of Enzymatic Assays for HTS | 24 |
| 8 | Assay Operations for SAR Support | 14 |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 110 | |
| 12 | 4 | |
| 13 | 61 | |
| 14 | 11 | |
| 15 | 5 | |
| 16 | 440 | |
| 17 | 330 | |
| 18 | Deficiency of a glycoprotein component of the dystrophin complex in dystrophic musclebreakdown → | 846 |
| 19 | Association of dystrophin and an integral membrane glycoproteinbreakdown → | 618 |
| 20 | 89 |
About Steven D. Kahl
Steven D. Kahl is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 51 papers that have together received 4.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Muscle Physiology and Disorders (9 papers) and Ion channel regulation and function (8 papers). The work is most often cited by research in Rehabilitation (522 citations), Cellular and Molecular Neuroscience (1.2k citations) and Molecular Biology (3.6k citations). Steven D. Kahl has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Kevin P. Campbell, James M. Ervasti, Kay Ohlendieck, Kiichiro Matsumura, Larry C. Blaszczak, Timothy I. Meier, Genshi Zhao, Kyle R. Gee, G. Sitta Sittampalam and William P. Janzen. Their work appears in journals such as Nature, Science and Proceedings of the National 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.