J. A. Kiernan
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Neurology top 1%
- Physiology top 5%
- Developmental Neuroscience top 1%
- Co-authors
- E. HeinickeWilliam F. BrownC. Elizabeth PringleMurray L. BarrGeorge C. EbersDavid G. MuñozAnna HudsonHeather L. Davis
- Topics
- Molecular Biology Techniques and Applications (16 papers)Biological Stains and Phytochemicals (15 papers)Nerve injury and regeneration (13 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
J. A. Kiernan
146 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 1.2k
- Neurology 833
- Physiology 628
- Developmental Neuroscience 479
Countries citing papers authored by J. A. Kiernan
This map shows the geographic impact of J. A. Kiernan'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 J. A. Kiernan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. A. Kiernan more than expected).
Fields of papers citing papers by J. A. Kiernan
This network shows the impact of papers produced by J. A. Kiernan. 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 J. A. Kiernan. The network helps show where J. A. Kiernan may publish in the future.
Co-authorship network of co-authors of J. A. Kiernan
This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Kiernan. A scholar is included among the top collaborators of J. A. Kiernan 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 J. A. Kiernan. J. A. Kiernan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Let the Chips Fall Where They May: Evaluating the Impact and Effectiveness of Video Resources for Knowledge Transfer in Flint Knapping | 1 |
| 2 | 6 | |
| 3 | 25 | |
| 4 | Barr's the human nervous system : | 4 |
| 5 | 4 | |
| 6 | 30 | |
| 7 | 4 | |
| 8 | 55 | |
| 9 | 13 | |
| 10 | 6 | |
| 11 | 23 | |
| 12 | Barr's The human nervous system :an anatomical viewpoint | 118 |
| 13 | 17 | |
| 14 | 96 | |
| 15 | 7 | |
| 16 | 17 | |
| 17 | Histological & histochemical methods : theory and practice | 51 |
| 18 | 5 | |
| 19 | 34 | |
| 20 | 14 |
About J. A. Kiernan
J. A. Kiernan is a scholar working on Developmental Neuroscience, Sensory Systems and Cellular and Molecular Neuroscience, having authored 149 papers that have together received 5.4k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (16 papers), Biological Stains and Phytochemicals (15 papers) and Nerve injury and regeneration (13 papers). The work is most often cited by research in Developmental Neuroscience (479 citations), Cellular and Molecular Neuroscience (1.2k citations) and Neurology (453 citations). J. A. Kiernan has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include E. Heinicke, William F. Brown, C. Elizabeth Pringle, Murray L. Barr, George C. Ebers, David G. Muñoz, Anna Hudson, Heather L. Davis, John Hudson and Janet R. Sparrow. Their work appears in journals such as Nature, JAMA and SHILAP Revista de lepidopterología.
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.