I Jirmanová
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cell Biology
- Biomedical Engineering
- Physiology
- Co-authors
- Jiřina ZelenáT. SoukupP HníkLadislav VyklickýJ ZelenáS. ThesleffGisela ZachařováRolf Libelius
- Topics
- Muscle Physiology and Disorders (10 papers)Nerve injury and regeneration (4 papers)Neuroscience and Neural Engineering (4 papers)
In The Last Decade
I Jirmanová
30 papers receiving 483 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 293
- Cellular and Molecular Neuroscience 190
- Cell Biology 91
- Biomedical Engineering 74
- Physiology 69
Countries citing papers authored by I Jirmanová
This map shows the geographic impact of I Jirmanová'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 I Jirmanová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I Jirmanová more than expected).
Fields of papers citing papers by I Jirmanová
This network shows the impact of papers produced by I Jirmanová. 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 I Jirmanová. The network helps show where I Jirmanová may publish in the future.
Co-authorship network of co-authors of I Jirmanová
This figure shows the co-authorship network connecting the top 25 collaborators of I Jirmanová. A scholar is included among the top collaborators of I Jirmanová 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 I Jirmanová. I Jirmanová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 36 | |
| 3 | 9 | |
| 4 | 32 | |
| 5 | Expression of myosin heavy chain (MyHC) isoforms in rat intrafusal muscle fibres after neonatal deefferentation and subsequent denervation. | 4 |
| 6 | Stereological evaluation of the soleus muscle isografted into fast extensor digitorum longus (EDL) muscle in rats with different thyroid status. | 11 |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 15 | |
| 10 | 8 | |
| 11 | Pattern of labelling of the rat brain stem after intraventricular administration of 3H-leucine; low and high resolution autoradiographic study. | 1 |
| 12 | 9 | |
| 13 | 26 | |
| 14 | 10 | |
| 15 | 10 | |
| 16 | 31 | |
| 17 | Neurally induced changes of ultrastructure in slow muscle fibres of the chick. | 0 |
| 18 | Implantation of "fast" nerve into slow muscle in young chickens. | 23 |
| 19 | 98 | |
| 20 | 20 |
About I Jirmanová
I Jirmanová is a scholar working on Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 32 papers that have together received 538 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), Nerve injury and regeneration (4 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (190 citations), Cell Biology (91 citations) and Developmental Neuroscience (20 citations). I Jirmanová has collaborated with scholars based in Czechia, Sweden and Vietnam. Frequent co-authors include Jiřina Zelená, T. Soukup, P Hník, Ladislav Vyklický, J Zelená, S. Thesleff, Gisela Zachařová, Rolf Libelius, Ingmar Lundquist and Sören Fex. Their work appears in journals such as Nature, The Journal of Physiology and Brain Research.
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.