Rachel Kuperman
- Physiology top 5%
- Oncology top 10%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Joyce Y. WuЕ. Д. БелоусоваSergiusz JóźwiakSteven SparaganaMichael KohrmanE. Martina BebinJ. Robert FlaminiMichael Frost
- Topics
- Tuberous Sclerosis Complex Research (9 papers)EEG and Brain-Computer Interfaces (5 papers)Neonatal and fetal brain pathology (4 papers)
- Partner nations
- United StatesPolandFrance
In The Last Decade
Rachel Kuperman
20 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Physiology 644
- Oncology 296
- Molecular Biology 283
- Cognitive Neuroscience 259
- Pulmonary and Respiratory Medicine 205
Countries citing papers authored by Rachel Kuperman
This map shows the geographic impact of Rachel Kuperman'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 Rachel Kuperman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Kuperman more than expected).
Fields of papers citing papers by Rachel Kuperman
This network shows the impact of papers produced by Rachel Kuperman. 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 Rachel Kuperman. The network helps show where Rachel Kuperman may publish in the future.
Co-authorship network of co-authors of Rachel Kuperman
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Kuperman. A scholar is included among the top collaborators of Rachel Kuperman 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 Rachel Kuperman. Rachel Kuperman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 51 | |
| 5 | 30 | |
| 6 | 134 | |
| 7 | 17 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 127 | |
| 11 | 62 | |
| 12 | 130 | |
| 13 | 46 | |
| 14 | 7 | |
| 15 | Efficacy and safety of everolimus for subependymal giant cell astrocytomas associated with tuberous sclerosis complex (EXIST-1): a multicentre, randomised, placebo-controlled phase 3 trialbreakdown → | 578 |
| 16 | 18 | |
| 17 | 3 | |
| 18 | 22 | |
| 19 | 47 | |
| 20 | 3 |
About Rachel Kuperman
Rachel Kuperman is a scholar working on Cognitive Neuroscience, Physiology and Psychiatry and Mental health, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (9 papers), EEG and Brain-Computer Interfaces (5 papers) and Neonatal and fetal brain pathology (4 papers). The work is most often cited by research in Physiology (644 citations), Cognitive Neuroscience (259 citations) and Genetics (120 citations). Rachel Kuperman has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Joyce Y. Wu, Е. Д. Белоусова, Sergiusz Jóźwiak, Steven Sparagana, Michael Kohrman, E. Martina Bebin, J. Robert Flamini, Michael Frost, David Neal Franz and Olaf Witt. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and PLoS ONE.
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.