Derrick Blackmore

2.0k total citations
10 papers, 260 citations indexed

About

Derrick Blackmore is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, Derrick Blackmore has authored 10 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 3 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in Derrick Blackmore's work include Myasthenia Gravis and Thymoma (3 papers), Pain Mechanisms and Treatments (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). Derrick Blackmore is often cited by papers focused on Myasthenia Gravis and Thymoma (3 papers), Pain Mechanisms and Treatments (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). Derrick Blackmore collaborates with scholars based in Canada. Derrick Blackmore's co-authors include Zaeem A. Siddiqi, Koon Teo, Dennis P. Humen, Darren E. R. Warburton, Mark J. Haykowsky, H. Arthur Quinney, Jonathan McGavock, Dylan Taylor, Faraz Hussain and Walter P. Maksymowych and has published in prestigious journals such as Neurology, Scientific Reports and Medicine & Science in Sports & Exercise.

In The Last Decade

Derrick Blackmore

10 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Derrick Blackmore Canada	7	113	103	65	63	62	10	260
Damien Vitiello France	11	61 0.5×	143 1.4×	14 0.2×	35 0.6×	39 0.6×	41	307
Ana Cristina Gimenes Brazil	11	158 1.4×	91 0.9×	18 0.3×	53 0.8×	20 0.3×	13	329
Fabian Tomschi Germany	9	34 0.3×	36 0.3×	18 0.3×	95 1.5×	25 0.4×	40	282
Takuya Osawa Japan	11	91 0.8×	52 0.5×	6 0.1×	117 1.9×	68 1.1×	49	276
G. Rose United Kingdom	11	39 0.3×	117 1.1×	15 0.2×	53 0.8×	14 0.2×	26	251
Kira Q. Stolen United States	16	115 1.0×	554 5.4×	17 0.3×	47 0.7×	43 0.7×	33	683
F. Maltais Canada	5	121 1.1×	54 0.5×	7 0.1×	132 2.1×	30 0.5×	8	346
Kyung Ream Han South Korea	12	10 0.1×	21 0.2×	68 1.0×	84 1.3×	7 0.1×	42	467
Kelly Larkin United States	6	120 1.1×	77 0.7×	3 0.0×	73 1.2×	63 1.0×	9	344
Andrew D’Silva United Kingdom	14	89 0.8×	435 4.2×	6 0.1×	15 0.2×	109 1.8×	33	572

Countries citing papers authored by Derrick Blackmore

Since Specialization

Citations

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

Fields of papers citing papers by Derrick Blackmore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derrick Blackmore. 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 Derrick Blackmore. The network helps show where Derrick Blackmore may publish in the future.

Co-authorship network of co-authors of Derrick Blackmore

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

All Works

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10 of 10 papers shown

Hussain, Faraz, Derrick Blackmore, Elaine Yacyshyn, et al.. (2023). Residual serum fibrinogen as a universal biomarker for all serotypes of Myasthenia gravis. Scientific Reports. 13(1). 21229–21229. 3 indexed citations

Hussain, Faraz, Mohamed A. Eldeeb, Derrick Blackmore, & Zaeem A. Siddiqi. (2020). Guillain Barré syndrome and COVID-19: Possible role of the cytokine storm. Autoimmunity Reviews. 19(12). 102681–102681. 25 indexed citations

Blackmore, Derrick, et al.. (2020). “Complex” Vasovagal Syncope: A Zebra Among Horses. Frontiers in Neurology. 11. 550982–550982. 2 indexed citations

Blackmore, Derrick, Li Liang, Nan Wang, et al.. (2020). Metabolomic profile overlap in prototypical autoimmune humoral disease: a comparison of myasthenia gravis and rheumatoid arthritis. Metabolomics. 16(1). 10–10. 19 indexed citations

Blackmore, Derrick, Zaeem A. Siddiqi, Liang Li, Nan Wang, & Walter P. Maksymowych. (2019). Beyond the antibodies: serum metabolomic profiling of myasthenia gravis. Metabolomics. 15(8). 109–109. 19 indexed citations

Blackmore, Derrick & Zaeem A. Siddiqi. (2017). Diagnostic Criteria for Small Fiber Neuropathy. Journal of Clinical Neuromuscular Disease. 18(3). 125–131. 30 indexed citations

Blackmore, Derrick, et al.. (2016). A Phase II Trial to Assess the Efficacy, Safety and Feasibility of 20[percnt] Subcutaneous Immunoglobulin in Patients with Myasthenia Gravis Exacerbation - Interim Analysis of Safety and Feasibility (P3.175). Neurology. 86(16_supplement). 1 indexed citations

Blackmore, Derrick & Zaeem A. Siddiqi. (2016). Pinprick Testing in Small Fiber Neuropathy. Journal of Clinical Neuromuscular Disease. 17(4). 181–186. 7 indexed citations

Warburton, Darren E. R., Mark J. Haykowsky, H. Arthur Quinney, et al.. (2004). Blood Volume Expansion and Cardiorespiratory Function: Effects of Training Modality. Medicine & Science in Sports & Exercise. 36(6). 991–1000. 102 indexed citations

10.

Warburton, Darren E. R., Mark J. Haykowsky, H. Arthur Quinney, et al.. (2002). Myocardial Response to Incremental Exercise in Endurance‐Trained Athletes: Influence of Heart Rate, Contractility and the Frank‐Starling Effect. Experimental Physiology. 87(5). 613–622. 52 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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