Rubika Balendra

1.6k total citations · 1 hit paper
16 papers, 837 citations indexed

About

Rubika Balendra is a scholar working on Genetics, Neurology and Molecular Biology. According to data from OpenAlex, Rubika Balendra has authored 16 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 13 papers in Neurology and 6 papers in Molecular Biology. Recurrent topics in Rubika Balendra's work include Amyotrophic Lateral Sclerosis Research (13 papers), Neurogenetic and Muscular Disorders Research (13 papers) and Prion Diseases and Protein Misfolding (4 papers). Rubika Balendra is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (13 papers), Neurogenetic and Muscular Disorders Research (13 papers) and Prion Diseases and Protein Misfolding (4 papers). Rubika Balendra collaborates with scholars based in United Kingdom, United States and Italy. Rubika Balendra's co-authors include Adrian M. Isaacs, Ammar Al‐Chalabi, Ashley Jones, Naheed Jivraj, Martin R. Turner, C. M. Ellis, Christopher E. Shaw, P. Nigel Leigh, P. Nigel Leigh and Pamela J. Shaw and has published in prestigious journals such as The Lancet, Nature Communications and The Lancet Neurology.

In The Last Decade

Rubika Balendra

15 papers receiving 828 citations

Hit Papers

C9orf72-mediated ALS and FTD: multiple pathways to disease 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rubika Balendra United Kingdom 9 607 354 331 130 116 16 837
Geert Joris Belgium 8 755 1.2× 319 0.9× 364 1.1× 256 2.0× 92 0.8× 11 926
William Camu France 12 787 1.3× 293 0.8× 416 1.3× 152 1.2× 120 1.0× 16 957
Bhuvaneish T. Selvaraj United Kingdom 15 317 0.5× 354 1.0× 174 0.5× 113 0.9× 164 1.4× 30 709
Denise Levitch United States 6 635 1.0× 264 0.7× 302 0.9× 226 1.7× 65 0.6× 8 766
Danielle Moreno Canada 14 457 0.8× 316 0.9× 259 0.8× 111 0.9× 105 0.9× 20 675
Olga Tarabal Spain 18 249 0.4× 295 0.8× 208 0.6× 105 0.8× 250 2.2× 27 733
Maura Brunetti Italy 17 1.1k 1.8× 294 0.8× 596 1.8× 255 2.0× 132 1.1× 38 1.2k
Simone Feldengut Germany 7 678 1.1× 204 0.6× 219 0.7× 296 2.3× 135 1.2× 11 838
Ksenia Pochigaeva Russia 5 1.1k 1.8× 549 1.6× 678 2.0× 215 1.7× 122 1.1× 15 1.4k
I. R. A. Mackenzie Canada 3 785 1.3× 320 0.9× 260 0.8× 366 2.8× 77 0.7× 5 934

Countries citing papers authored by Rubika Balendra

Since Specialization
Citations

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

Fields of papers citing papers by Rubika Balendra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubika Balendra

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

All Works

16 of 16 papers shown
1.
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
2.
Raguseo, Federica, Yiran Wang, Jessica Li, et al.. (2023). The ALS/FTD-related C9orf72 hexanucleotide repeat expansion forms RNA condensates through multimolecular G-quadruplexes. Nature Communications. 14(1). 8272–8272. 30 indexed citations
3.
Balendra, Rubika, Igor Ruiz de los Mozos, Hana M. Odeh, et al.. (2023). Transcriptome-wide RNA binding analysis of C9orf72 poly(PR) dipeptides. Life Science Alliance. 6(9). e202201824–e202201824. 5 indexed citations
4.
Balendra, Rubika, Ashley Jones, Ahmad Al Khleifat, et al.. (2022). Comparison Of King’s Clinical Staging In Multinational Amyotrophic Lateral Sclerosis Cohorts. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 24(1-2). 71–81. 2 indexed citations
5.
Khleifat, Ahmad Al, Rubika Balendra, Ton Fang, & Ammar Al‐Chalabi. (2021). Intuitive Staging Correlates With King’s Clinical Stage. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 22(5-6). 336–340.
6.
Balendra, Rubika, Ahmad Al Khleifat, Ton Fang, & Ammar Al‐Chalabi. (2019). A standard operating procedure for King’s ALS clinical staging. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 20(3-4). 159–164. 31 indexed citations
7.
Balendra, Rubika & Adrian M. Isaacs. (2018). C9orf72-mediated ALS and FTD: multiple pathways to disease. Nature Reviews Neurology. 14(9). 544–558. 448 indexed citations breakdown →
8.
Mizielinska, Sarah, Charlotte Ridler, Rubika Balendra, et al.. (2017). Bidirectional nucleolar dysfunction in C9orf72 frontotemporal lobar degeneration. Acta Neuropathologica Communications. 5(1). 29–29. 41 indexed citations
9.
Balendra, Rubika, James Uphill, Ronald Druyeh, et al.. (2016). Variants of PLCXD3 are not associated with variant or sporadic Creutzfeldt-Jakob disease in a large international study. BMC Medical Genetics. 17(1). 28–28. 3 indexed citations
10.
Balendra, Rubika & Rickie Patani. (2016). Quo vadis motor neuron disease?. World Journal of Methodology. 6(1). 56–56. 8 indexed citations
11.
Balendra, Rubika, Sarah Mizielinska, Thomas G. Moens, et al.. (2016). Molecular mechanisms and therapeutic strategies in amyotrophic lateral sclerosis caused by C9orf72 mutations. The Lancet. 387. S13–S13. 1 indexed citations
12.
Jones, Ashley, Naheed Jivraj, Rubika Balendra, et al.. (2014). Health utility decreases with increasing clinical stage in amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 15(3-4). 285–291. 27 indexed citations
13.
Balendra, Rubika, Ashley Jones, Naheed Jivraj, et al.. (2014). Use of clinical staging in amyotrophic lateral sclerosis for phase 3 clinical trials. Journal of Neurology Neurosurgery & Psychiatry. 86(1). 45–49. 71 indexed citations
14.
Balendra, Rubika, Ashley Jones, Naheed Jivraj, et al.. (2014). Estimating clinical stage of amyotrophic lateral sclerosis from the ALS Functional Rating Scale. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 15(3-4). 279–284. 104 indexed citations
15.
Jones, Ashley, Ione Woollacott, Aleksey Shatunov, et al.. (2013). Residual association at C9orf72 suggests an alternative amyotrophic lateral sclerosis-causing hexanucleotide repeat. Neurobiology of Aging. 34(9). 2234.e1–2234.e7. 16 indexed citations
16.
Pinnock, Scarlett B., Rubika Balendra, Melanie Chan, et al.. (2006). Interactions between Nitric Oxide and Corticosterone in the Regulation of Progenitor Cell Proliferation in the Dentate Gyrus of the Adult Rat. Neuropsychopharmacology. 32(2). 493–504. 48 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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