James A. McKanna
- Molecular Biology top 10%
- Pharmacology top 1%
- Biochemistry top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Co-authors
- Raymond C. HarrisMing‐Zhi ZhangHuifang ChengStanley CohenJunling WangHarry T. HaiglerValentina SavchenkoIrina Nikonenko
- Topics
- Inflammatory mediators and NSAID effects (14 papers)Hormonal Regulation and Hypertension (9 papers)Neuroinflammation and Neurodegeneration Mechanisms (7 papers)
- Cited by
- BiochemistryPharmacologyNeurology
- Partner nations
- United StatesUnited KingdomUkraine
In The Last Decade
James A. McKanna
62 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 1.1k
- Pharmacology 708
- Biochemistry 454
- Endocrinology, Diabetes and Metabolism 385
- Physiology 298
Countries citing papers authored by James A. McKanna
This map shows the geographic impact of James A. McKanna'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 James A. McKanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. McKanna more than expected).
Fields of papers citing papers by James A. McKanna
This network shows the impact of papers produced by James A. McKanna. 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 James A. McKanna. The network helps show where James A. McKanna may publish in the future.
Co-authorship network of co-authors of James A. McKanna
This figure shows the co-authorship network connecting the top 25 collaborators of James A. McKanna. A scholar is included among the top collaborators of James A. McKanna 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 James A. McKanna. James A. McKanna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 43 | |
| 3 | 12 | |
| 4 | 19 | |
| 5 | 14 | |
| 6 | 4 | |
| 7 | 32 | |
| 8 | 28 | |
| 9 | 16 | |
| 10 | 136 | |
| 11 | 135 | |
| 12 | 25 | |
| 13 | 113 | |
| 14 | 16 | |
| 15 | 47 | |
| 16 | 5 | |
| 17 | EFFECTS OF EXTERNAL ANKLE SUPPORT UPON IEMG ACTIVITY IN THE LOWER LIMB WHILE RUNNING | 1 |
| 18 | 4 | |
| 19 | 54 | |
| 20 | 80 |
About James A. McKanna
James A. McKanna is a scholar working on Neurology, Developmental Neuroscience and Pharmacology, having authored 62 papers that have together received 2.9k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (14 papers), Hormonal Regulation and Hypertension (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). The work is most often cited by research in Biochemistry (454 citations), Pharmacology (708 citations) and Neurology (236 citations). James A. McKanna has collaborated with scholars based in United States, United Kingdom and Ukraine. Frequent co-authors include Raymond C. Harris, Ming‐Zhi Zhang, Huifang Cheng, Stanley Cohen, Junling Wang, Harry T. Haigler, Ming‐Zhi Zhang, Valentina Savchenko, Junling Wang and Irina Nikonenko. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.