Jenna M. Gregory

1.7k total citations
38 papers, 739 citations indexed

About

Jenna M. Gregory is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Jenna M. Gregory has authored 38 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Neurology, 18 papers in Molecular Biology and 18 papers in Genetics. Recurrent topics in Jenna M. Gregory's work include Amyotrophic Lateral Sclerosis Research (30 papers), Neurogenetic and Muscular Disorders Research (18 papers) and Prion Diseases and Protein Misfolding (7 papers). Jenna M. Gregory is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (30 papers), Neurogenetic and Muscular Disorders Research (18 papers) and Prion Diseases and Protein Misfolding (7 papers). Jenna M. Gregory collaborates with scholars based in United Kingdom, United States and India. Jenna M. Gregory's co-authors include Siddharthan Chandran, Karina McDade, Colin Smith, Suvankar Pal, Christopher M. Dobson, Sharon Abrahams, Bhuvaneish T. Selvaraj, Teresa P. Barros, Leila M. Luheshi and Arpan R. Mehta and has published in prestigious journals such as Nature Communications, PLoS ONE and Brain.

In The Last Decade

Jenna M. Gregory

36 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jenna M. Gregory United Kingdom 15 474 346 229 153 113 38 739
André Bento‐Abreu Belgium 12 372 0.8× 383 1.1× 231 1.0× 118 0.8× 144 1.3× 18 833
Martine Therrien Canada 12 318 0.7× 355 1.0× 223 1.0× 92 0.6× 99 0.9× 17 808
Pegah Masrori Belgium 10 642 1.4× 345 1.0× 331 1.4× 135 0.9× 144 1.3× 17 919
Tijs Vandoorne Belgium 9 377 0.8× 325 0.9× 220 1.0× 134 0.9× 63 0.6× 12 648
Bhuvaneish T. Selvaraj United Kingdom 15 317 0.7× 354 1.0× 174 0.8× 113 0.7× 130 1.2× 30 709
Shashirekha S. Markandaiah United States 7 426 0.9× 291 0.8× 248 1.1× 79 0.5× 89 0.8× 10 644
Javier H. Jara United States 14 434 0.9× 249 0.7× 271 1.2× 106 0.7× 140 1.2× 15 677
Wendy Scheveneels Belgium 11 591 1.2× 456 1.3× 358 1.6× 131 0.9× 136 1.2× 13 915
Lucía Galán Spain 14 285 0.6× 442 1.3× 153 0.7× 138 0.9× 52 0.5× 41 789
Clark R. Restrepo United States 7 493 1.0× 367 1.1× 251 1.1× 159 1.0× 229 2.0× 10 760

Countries citing papers authored by Jenna M. Gregory

Since Specialization
Citations

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

Fields of papers citing papers by Jenna M. Gregory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenna M. Gregory. 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 Jenna M. Gregory. The network helps show where Jenna M. Gregory may publish in the future.

Co-authorship network of co-authors of Jenna M. Gregory

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

All Works

20 of 20 papers shown
1.
Johnstone, Alexandra M., Emiliano Albanese, Daniel R. Crabtree, et al.. (2025). Consensus statement on exploring the Nexus between nutrition, brain health and dementia prevention. Nutrition & Metabolism. 22(1). 82–82. 2 indexed citations
2.
Rifai, Olivia M., et al.. (2025). Genotype-specific interferon signatures in amyotrophic lateral sclerosis relate to disease severity. Brain. 149(2). 489–501. 1 indexed citations
3.
Sinha, Irika R., Katherine E. Irwin, Anna Lourdes Cruz, et al.. (2025). Large-scale RNA-Seq mining reveals ciclopirox olamine induces TDP-43 cryptic exons. Nature Communications. 16(1). 6878–6878. 1 indexed citations
4.
Gregory, Jenna M., et al.. (2025). Improving ALS detection and cognitive impairment stratification with attention-enhanced deep learning models. Scientific Reports. 15(1). 7045–7045. 1 indexed citations
5.
Balendra, Rubika, Jemeen Sreedharan, Martina Hallegger, et al.. (2025). Amyotrophic lateral sclerosis caused by TARDBP mutations: from genetics to TDP-43 proteinopathy. The Lancet Neurology. 24(5). 456–470. 2 indexed citations
6.
7.
Waldron, Fergal M., Rebecca S. Saleeb, Anna‐Leigh Brown, et al.. (2024). RNA aptamer reveals nuclear TDP-43 pathology is an early aggregation event that coincides with STMN-2 cryptic splicing and precedes clinical manifestation in ALS. Acta Neuropathologica. 147(1). 50–50. 13 indexed citations
8.
Rifai, Olivia M., Owen Dando, Alison F. Munro, et al.. (2023). Distinct neuroinflammatory signatures exist across genetic and sporadic amyotrophic lateral sclerosis cohorts. Brain. 146(12). 5124–5138. 7 indexed citations
9.
10.
Bhatia, Ramya, et al.. (2023). The role of circulating viral and tumour DNA in the diagnosis and management of HPV associated anogenital cancers, a systematic review and meta-analysis. Journal of Clinical Virology. 164. 105469–105469. 11 indexed citations
11.
Zacco, Elsa, Edoardo Milanetti, Alexandros Armaos, et al.. (2022). Probing TDP-43 condensation using an in silico designed aptamer. Nature Communications. 13(1). 3306–3306. 33 indexed citations
12.
13.
Mehta, Arpan R., Jenna M. Gregory, Owen Dando, et al.. (2021). Mitochondrial bioenergetic deficits in C9orf72 amyotrophic lateral sclerosis motor neurons cause dysfunctional axonal homeostasis. Acta Neuropathologica. 141(2). 257–279. 82 indexed citations
14.
Waldron, Fergal M., et al.. (2020). Therapeutic Targeting of Proteostasis in Amyotrophic Lateral Sclerosis—a Systematic Review and Meta-Analysis of Preclinical Research. Frontiers in Neuroscience. 14. 511–511. 10 indexed citations
15.
Gregory, Jenna M., Karina McDade, Matthew R. Livesey, et al.. (2020). Spatial transcriptomics identifies spatially dysregulated expression of GRM3 and USP47 in amyotrophic lateral sclerosis. Neuropathology and Applied Neurobiology. 46(5). 441–457. 31 indexed citations
16.
Gregory, Jenna M., Karina McDade, Thomas H. Bak, et al.. (2019). Executive, language and fluency dysfunction are markers of localised TDP-43 cerebral pathology in non-demented ALS. Journal of Neurology Neurosurgery & Psychiatry. 91(2). 149–157. 57 indexed citations
17.
Gregory, Jenna M., et al.. (2018). TDP-43 as a potential biomarker for amyotrophic lateral sclerosis: a systematic review and meta-analysis. BMC Neurology. 18(1). 90–90. 64 indexed citations
18.
Gregory, Jenna M., Daniel R. Whiten, Teresa P. Barros, et al.. (2017). Clusterin protects neurons against intracellular proteotoxicity. Acta Neuropathologica Communications. 5(1). 81–81. 51 indexed citations
19.
Crippa, V., M.E. Cicardi, Nandini Ramesh, et al.. (2016). The chaperone HSPB8 reduces the accumulation of truncated TDP-43 species in cells and protects against TDP-43-mediated toxicity. Human Molecular Genetics. 25(18). 3908–3924. 75 indexed citations
20.
Gregory, Jenna M., Teresa P. Barros, Sarah Meehan, Christopher M. Dobson, & Leila M. Luheshi. (2012). The Aggregation and Neurotoxicity of TDP-43 and Its ALS-Associated 25 kDa Fragment Are Differentially Affected by Molecular Chaperones in Drosophila. PLoS ONE. 7(2). e31899–e31899. 49 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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