Adisa Kuburas
- Psychiatry and Mental health top 2%
- Endocrine and Autonomic Systems top 2%
- Cellular and Molecular Neuroscience top 10%
- Physiology top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Andrew F. RussoAna RecoberEric A. KaiserBianca N. MasonJohn A. WemmieMichael G. AndersonZhi ZhangLeón F. Garcı́a-Martı́nez
- Topics
- Migraine and Headache Studies (19 papers)Neuroscience of respiration and sleep (11 papers)Circadian rhythm and melatonin (10 papers)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Adisa Kuburas
29 papers receiving 898 citations
Peers
Comparison fields: 5 of 73
- Psychiatry and Mental health 560
- Endocrine and Autonomic Systems 318
- Cellular and Molecular Neuroscience 249
- Physiology 209
- Pathology and Forensic Medicine 197
Countries citing papers authored by Adisa Kuburas
This map shows the geographic impact of Adisa Kuburas'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 Adisa Kuburas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adisa Kuburas more than expected).
Fields of papers citing papers by Adisa Kuburas
This network shows the impact of papers produced by Adisa Kuburas. 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 Adisa Kuburas. The network helps show where Adisa Kuburas may publish in the future.
Co-authorship network of co-authors of Adisa Kuburas
This figure shows the co-authorship network connecting the top 25 collaborators of Adisa Kuburas. A scholar is included among the top collaborators of Adisa Kuburas 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 Adisa Kuburas. Adisa Kuburas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 50 | |
| 4 | 36 | |
| 5 | 8 | |
| 6 | 12 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 109 | |
| 11 | 20 | |
| 12 | 8 | |
| 13 | 78 | |
| 14 | 83 | |
| 15 | A Potential Preclinical Migraine Model: CGRP-Sensitized Mice. | 44 |
| 16 | 153 | |
| 17 | 25 | |
| 18 | 16 | |
| 19 | 22 | |
| 20 | 31 |
About Adisa Kuburas
Adisa Kuburas is a scholar working on Endocrine and Autonomic Systems, Psychiatry and Mental health and Sensory Systems, having authored 30 papers that have together received 909 indexed citations. Recurring topics across this work include Migraine and Headache Studies (19 papers), Neuroscience of respiration and sleep (11 papers) and Circadian rhythm and melatonin (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (318 citations), Psychiatry and Mental health (560 citations) and Sensory Systems (134 citations). Adisa Kuburas has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Andrew F. Russo, Ana Recober, Eric A. Kaiser, Bianca N. Mason, John A. Wemmie, Michael G. Anderson, Zhi Zhang, León F. Garcı́a-Martı́nez, Irfan Saadi and John Latham. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Molecular and Cellular Biology.
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.