Xenia Machne
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Sensory Systems top 10%
- Physiology
- Co-authors
- J. P. SegundoJohn D. GreenJ. del CastilloJorge AcevesJohn M. BrookhartE FadigaH. W. MagounKlaus Unna
- Topics
- Neuroscience and Neural Engineering (6 papers)Neural dynamics and brain function (5 papers)Electrochemical Analysis and Applications (4 papers)
- Journals
- The Journal of PhysiologyJournal of NeurophysiologyJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United States
In The Last Decade
Xenia Machne
22 papers receiving 550 citations
Peers
Comparison fields: 5 of 85
- Cellular and Molecular Neuroscience 399
- Cognitive Neuroscience 264
- Molecular Biology 148
- Sensory Systems 46
- Physiology 40
Countries citing papers authored by Xenia Machne
This map shows the geographic impact of Xenia Machne'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 Xenia Machne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xenia Machne more than expected).
Fields of papers citing papers by Xenia Machne
This network shows the impact of papers produced by Xenia Machne. 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 Xenia Machne. The network helps show where Xenia Machne may publish in the future.
Co-authorship network of co-authors of Xenia Machne
This figure shows the co-authorship network connecting the top 25 collaborators of Xenia Machne. A scholar is included among the top collaborators of Xenia Machne 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 Xenia Machne. Xenia Machne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 61 | |
| 11 | 46 | |
| 12 | 34 | |
| 13 | 37 | |
| 14 | 98 | |
| 15 | 62 | |
| 16 | [Preliminary note on the registration of cortical neuron activity during the so-called waking reaction in cat]. | 2 |
| 17 | 80 | |
| 18 | 37 | |
| 19 | 35 | |
| 20 | 52 |
About Xenia Machne
Xenia Machne is a scholar working on Cellular and Molecular Neuroscience, Electrochemistry and Cognitive Neuroscience, having authored 22 papers that have together received 664 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (6 papers), Neural dynamics and brain function (5 papers) and Electrochemical Analysis and Applications (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (399 citations), Cognitive Neuroscience (264 citations) and Sensory Systems (46 citations). Xenia Machne has collaborated with scholars based in United States. Frequent co-authors include J. P. Segundo, John D. Green, J. del Castillo, Jorge Aceves, John M. Brookhart, E Fadiga, H. W. Magoun, Klaus Unna, A M Ostfeld and W.H. Burke. Their work appears in journals such as The Journal of Physiology, Journal of Neurophysiology and Journal of Pharmacology and Experimental Therapeutics.
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.