Nicole E. Burma

1.1k total citations
10 papers, 639 citations indexed

About

Nicole E. Burma is a scholar working on Physiology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Nicole E. Burma has authored 10 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Nicole E. Burma's work include Adenosine and Purinergic Signaling (3 papers), Pain Mechanisms and Treatments (3 papers) and Vagus Nerve Stimulation Research (2 papers). Nicole E. Burma is often cited by papers focused on Adenosine and Purinergic Signaling (3 papers), Pain Mechanisms and Treatments (3 papers) and Vagus Nerve Stimulation Research (2 papers). Nicole E. Burma collaborates with scholars based in Canada, United States and United Kingdom. Nicole E. Burma's co-authors include Tuan Trang, Heather Leduc‐Pessah, Churmy Y. Fan, Jeff Biernaskie, Jo Anne Stratton, Charlie H.T. Kwok, Alexandra Holmes, Nicole L. Rosin, Sarthak Sinha and Rajiv Midha and has published in prestigious journals such as Nature Medicine, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Nicole E. Burma

9 papers receiving 634 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicole E. Burma Canada 8 272 266 195 100 53 10 639
Marc‐André Dansereau Canada 12 402 1.5× 246 0.9× 225 1.2× 285 2.9× 18 0.3× 13 1.0k
Heather Leduc‐Pessah Canada 9 292 1.1× 202 0.8× 191 1.0× 105 1.1× 67 1.3× 16 541
Katherine Hamel United States 11 401 1.5× 286 1.1× 139 0.7× 103 1.0× 10 0.2× 20 713
Johnny D. Figueroa United States 16 133 0.5× 264 1.0× 146 0.7× 66 0.7× 18 0.3× 37 686
Tony K.Y. Lim Canada 12 263 1.0× 158 0.6× 121 0.6× 106 1.1× 14 0.3× 16 633
Carla Argentini Italy 13 227 0.8× 113 0.4× 542 2.8× 161 1.6× 26 0.5× 17 1.0k
Ricardo Kusuda Brazil 12 370 1.4× 216 0.8× 144 0.7× 91 0.9× 8 0.2× 16 737
Katherine Halievski Canada 12 179 0.7× 255 1.0× 172 0.9× 49 0.5× 18 0.3× 19 472
Kristina S. Vikman Sweden 10 243 0.9× 200 0.8× 141 0.7× 82 0.8× 11 0.2× 10 435
А. В. Моргун Russia 13 216 0.8× 149 0.6× 272 1.4× 316 3.2× 21 0.4× 96 866

Countries citing papers authored by Nicole E. Burma

Since Specialization
Citations

This map shows the geographic impact of Nicole E. Burma'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 Nicole E. Burma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicole E. Burma more than expected).

Fields of papers citing papers by Nicole E. Burma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicole E. Burma. 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 Nicole E. Burma. The network helps show where Nicole E. Burma may publish in the future.

Co-authorship network of co-authors of Nicole E. Burma

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole E. Burma. A scholar is included among the top collaborators of Nicole E. Burma 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 Nicole E. Burma. Nicole E. Burma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Burma, Nicole E. & Michele Ramien. (2025). Cutaneous and Gut Dysbiosis in Alopecia Areata: A Review. JID Innovations. 5(4). 100363–100363.
2.
Burma, Nicole E., et al.. (2022). Topical Clascoterone for Acne Vulgaris.. PubMed. 27(1). 1–3. 1 indexed citations
3.
Sharples, Simon A., Nicole E. Burma, Charlie H.T. Kwok, et al.. (2020). A dynamic role for dopamine receptors in the control of mammalian spinal networks. Scientific Reports. 10(1). 16429–16429. 47 indexed citations
4.
Stratton, Jo Anne, Alexandra Holmes, Nicole L. Rosin, et al.. (2018). Macrophages Regulate Schwann Cell Maturation after Nerve Injury. Cell Reports. 24(10). 2561–2572.e6. 151 indexed citations
5.
Mousseau, Michael, Nicole E. Burma, Kwan Yeop Lee, et al.. (2018). Microglial pannexin-1 channel activation is a spinal determinant of joint pain. Science Advances. 4(8). eaas9846–eaas9846. 81 indexed citations
6.
Burma, Nicole E., Robert P. Bonin, Heather Leduc‐Pessah, et al.. (2017). Blocking microglial pannexin-1 channels alleviates morphine withdrawal in rodents. Nature Medicine. 23(3). 355–360. 115 indexed citations
7.
Leduc‐Pessah, Heather, Nicholas L. Weilinger, Churmy Y. Fan, et al.. (2017). Site-Specific Regulation of P2X7 Receptor Function in Microglia Gates Morphine Analgesic Tolerance. Journal of Neuroscience. 37(42). 10154–10172. 58 indexed citations
8.
Burma, Nicole E., Charlie H.T. Kwok, & Tuan Trang. (2017). Therapies and Mechanisms of Opioid Withdrawal. Pain Management. 7(6). 455–459. 30 indexed citations
9.
Burma, Nicole E., Heather Leduc‐Pessah, & Tuan Trang. (2017). Genetic deletion of microglial Panx1 attenuates morphine withdrawal, but not analgesic tolerance or hyperalgesia in mice. Channels. 11(5). 487–494. 16 indexed citations
10.
Burma, Nicole E., Heather Leduc‐Pessah, Churmy Y. Fan, & Tuan Trang. (2016). Animal models of chronic pain: Advances and challenges for clinical translation. Journal of Neuroscience Research. 95(6). 1242–1256. 140 indexed citations

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.

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