Jamie S. Mitchell

1.2k total citations
8 papers, 400 citations indexed

About

Jamie S. Mitchell is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Jamie S. Mitchell has authored 8 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Jamie S. Mitchell's work include Amyotrophic Lateral Sclerosis Research (5 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Pluripotent Stem Cells Research (1 paper). Jamie S. Mitchell is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (5 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Pluripotent Stem Cells Research (1 paper). Jamie S. Mitchell collaborates with scholars based in United Kingdom, Sweden and Japan. Jamie S. Mitchell's co-authors include Rickie Patani, Giulia E. Tyzack, Doaa M. Taha, Jia Newcombe, Raphaëlle Luisier, Jernej Ule, Linda Greensmith, Ione Meyer, Nicholas M. Luscombe and Jacob Neeves and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Brain.

In The Last Decade

Jamie S. Mitchell

8 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie S. Mitchell United Kingdom 7 266 247 187 65 58 8 400
Tomohiko Ishihara Japan 13 339 1.3× 272 1.1× 207 1.1× 69 1.1× 71 1.2× 44 514
Silvia Grifoni Italy 11 275 1.0× 180 0.7× 155 0.8× 76 1.2× 92 1.6× 14 453
Vincent Picher‐Martel Canada 9 255 1.0× 161 0.7× 126 0.7× 66 1.0× 51 0.9× 19 364
Matthew J. Stopford United Kingdom 7 224 0.8× 208 0.8× 150 0.8× 73 1.1× 51 0.9× 8 372
Olivia Gautier United States 2 193 0.7× 187 0.8× 122 0.7× 76 1.2× 44 0.8× 2 361
Kaitlin Weskamp United States 8 276 1.0× 289 1.2× 168 0.9× 34 0.5× 45 0.8× 10 440
Jacob Neeves United Kingdom 8 207 0.8× 206 0.8× 147 0.8× 36 0.6× 32 0.6× 10 323
Ayumi Nishiyama Japan 12 186 0.7× 143 0.6× 139 0.7× 51 0.8× 35 0.6× 24 344
Doaa M. Taha United Kingdom 8 294 1.1× 276 1.1× 187 1.0× 143 2.2× 89 1.5× 11 493
Valentina Gumina Italy 9 282 1.1× 242 1.0× 152 0.8× 35 0.5× 61 1.1× 9 400

Countries citing papers authored by Jamie S. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Jamie S. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie S. Mitchell. 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 Jamie S. Mitchell. The network helps show where Jamie S. Mitchell may publish in the future.

Co-authorship network of co-authors of Jamie S. Mitchell

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

All Works

8 of 8 papers shown
1.
Ziff, Oliver J., Jacob Neeves, Jamie S. Mitchell, et al.. (2023). Integrated transcriptome landscape of ALS identifies genome instability linked to TDP-43 pathology. Nature Communications. 14(1). 2176–2176. 36 indexed citations
2.
Mathews, Fiona, et al.. (2022). Does Handling for Public Talks in Zoos Affect the Behaviour of Captive Mexican Red-Kneed Spiders Brachypelma hamorii?. SHILAP Revista de lepidopterología. 3(2). 158–169. 1 indexed citations
3.
Mitchell, Jamie S., et al.. (2021). A Non-Toxic Concentration of Telomerase Inhibitor BIBR1532 Fails to Reduce TERT Expression in a Feeder-Free Induced Pluripotent Stem Cell Model of Human Motor Neurogenesis. International Journal of Molecular Sciences. 22(6). 3256–3256. 6 indexed citations
4.
Thelin, Eric Peter, Claire E. Hall, Giulia E. Tyzack, et al.. (2019). Delineating Astrocytic Cytokine Responses in a Human Stem Cell Model of Neural Trauma. Journal of Neurotrauma. 37(1). 93–105. 15 indexed citations
5.
Tyzack, Giulia E., Raphaëlle Luisier, Doaa M. Taha, et al.. (2019). Widespread FUS mislocalization is a molecular hallmark of amyotrophic lateral sclerosis. Brain. 142(9). 2572–2580. 108 indexed citations
6.
Risse, Emmanuel, Giulia E. Tyzack, Jamie S. Mitchell, et al.. (2019). Distinct responses of neurons and astrocytes to TDP-43 proteinopathy in amyotrophic lateral sclerosis. Brain. 143(2). 430–440. 83 indexed citations
7.
Luisier, Raphaëlle, Giulia E. Tyzack, Claire E. Hall, et al.. (2018). Intron retention and nuclear loss of SFPQ are molecular hallmarks of ALS. Nature Communications. 9(1). 2010–2010. 104 indexed citations
8.
Moens, Thomas G., Sarah Mizielinska, Teresa Niccoli, et al.. (2018). Sense and antisense RNA are not toxic in Drosophila models of C9orf72-associated ALS/FTD. Acta Neuropathologica. 135(3). 445–457. 47 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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