John C. Fiala
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Cognitive Neuroscience top 2%
- Developmental Neuroscience top 0.5%
- Neurology top 2%
- Co-authors
- Kristen M. HarrisJosef ŠpačekMarcia FeinbergLinnaea OstroffDaniel BullockStephen GrossbergSergei A. KirovKarin E. Sorra
- Topics
- Neuroscience and Neuropharmacology Research (14 papers)Radiation Detection and Scintillator Technologies (7 papers)Robot Manipulation and Learning (6 papers)
- Partner nations
- United StatesCzechiaRussia
In The Last Decade
John C. Fiala
45 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Cellular and Molecular Neuroscience 2.4k
- Molecular Biology 1.3k
- Cognitive Neuroscience 1.1k
- Developmental Neuroscience 608
- Neurology 499
Countries citing papers authored by John C. Fiala
This map shows the geographic impact of John C. Fiala'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 John C. Fiala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Fiala more than expected).
Fields of papers citing papers by John C. Fiala
This network shows the impact of papers produced by John C. Fiala. 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 John C. Fiala. The network helps show where John C. Fiala may publish in the future.
Co-authorship network of co-authors of John C. Fiala
This figure shows the co-authorship network connecting the top 25 collaborators of John C. Fiala. A scholar is included among the top collaborators of John C. Fiala 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 John C. Fiala. John C. Fiala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 52 | |
| 3 | 49 | |
| 4 | 81 | |
| 5 | 48 | |
| 6 | Reconstruct: a free editor for serial section microscopybreakdown → | 733 |
| 7 | 1 | |
| 8 | 144 | |
| 9 | Galvannealing cycle's effects on substrate/coating interfacial structures observed by Mössbauer spectroscopy | 1 |
| 10 | 10 | |
| 11 | 111 | |
| 12 | 141 | |
| 13 | Dendritic Spine Pathology: Cause or Consequence of Neurological Disorders?breakdown → | 646 |
| 14 | 97 | |
| 15 | 6 | |
| 16 | 339 | |
| 17 | 121 | |
| 18 | 167 | |
| 19 | Extracellular space volume changes and diffusion barriers in rats with kaolin-induced and inherited hydrocephalus. | 12 |
| 20 | 5 |
About John C. Fiala
John C. Fiala is a scholar working on Structural Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 49 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Radiation Detection and Scintillator Technologies (7 papers) and Robot Manipulation and Learning (6 papers). The work is most often cited by research in Developmental Neuroscience (608 citations), Cellular and Molecular Neuroscience (2.4k citations) and Structural Biology (127 citations). John C. Fiala has collaborated with scholars based in United States, Czechia and Russia. Frequent co-authors include Kristen M. Harris, Josef Špaček, Marcia Feinberg, Linnaea Ostroff, Daniel Bullock, Stephen Grossberg, Sergei A. Kirov, Karin E. Sorra, Albert J. Wavering and Frank H. Guenther. Their work appears in journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.
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.