Nayana Lahiri

4.8k total citations
27 papers, 1.0k citations indexed

About

Nayana Lahiri is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Nayana Lahiri has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Nayana Lahiri's work include Genetic Neurodegenerative Diseases (15 papers), Muscle Physiology and Disorders (5 papers) and RNA Research and Splicing (5 papers). Nayana Lahiri is often cited by papers focused on Genetic Neurodegenerative Diseases (15 papers), Muscle Physiology and Disorders (5 papers) and RNA Research and Splicing (5 papers). Nayana Lahiri collaborates with scholars based in United Kingdom, Sweden and United States. Nayana Lahiri's co-authors include Sarah J. Tabrizi, Maria Björkqvist, Edward J. Wild, Patrik Brundin, Philip Michael Gaughwin, Maciej Cieśla, Rachael I. Scahill, Anna Magnusson, Ulrike Träger and Ralph André and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Brain.

In The Last Decade

Nayana Lahiri

27 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nayana Lahiri United Kingdom 15 610 575 206 113 107 27 1.0k
David W. Hampton United Kingdom 19 437 0.7× 467 0.8× 159 0.8× 416 3.7× 53 0.5× 27 1.3k
Yanmei Tao China 14 733 1.2× 466 0.8× 66 0.3× 81 0.7× 50 0.5× 20 1.2k
Frank Zimmermann Germany 11 868 1.4× 862 1.5× 259 1.3× 342 3.0× 54 0.5× 18 1.7k
Rémi Bos France 14 475 0.8× 474 0.8× 110 0.5× 106 0.9× 116 1.1× 32 1.1k
Sumiko Mikawa Japan 18 717 1.2× 681 1.2× 75 0.4× 204 1.8× 62 0.6× 37 1.2k
Abraham J. Langseth United States 8 373 0.6× 400 0.7× 88 0.4× 325 2.9× 79 0.7× 10 933
Mailis C. McCulloch United Kingdom 13 385 0.6× 379 0.7× 112 0.5× 205 1.8× 83 0.8× 13 881
Louis N. Manganas United States 16 775 1.3× 551 1.0× 55 0.3× 78 0.7× 25 0.2× 24 1.3k
Ulrich Pfisterer Sweden 14 1.2k 2.0× 562 1.0× 66 0.3× 122 1.1× 81 0.8× 25 1.6k
Beatrice Paradiso Italy 17 321 0.5× 394 0.7× 95 0.5× 98 0.9× 35 0.3× 36 966

Countries citing papers authored by Nayana Lahiri

Since Specialization
Citations

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

Fields of papers citing papers by Nayana Lahiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nayana Lahiri

This figure shows the co-authorship network connecting the top 25 collaborators of Nayana Lahiri. A scholar is included among the top collaborators of Nayana Lahiri 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 Nayana Lahiri. Nayana Lahiri 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.
O’Connor, Antoinette, Natalie S. Ryan, David S. Lynch, et al.. (2024). Genetic testing in dementia. Practical Neurology. 25(2). 127–136. 2 indexed citations
2.
Lahiri, Nayana, et al.. (2023). Genetic risk for Huntington Disease and reproductive decision‐making: A systematic review. Clinical Genetics. 104(2). 147–162. 9 indexed citations
3.
Dijk, Fleur S. van, Matthew Cauldwell, Rachel Harrison, et al.. (2022). Amniotic band sequence in vascular Ehlers-Danlos Syndrome (EDS): Experience of the EDS National Diagnostic Services in the UK. European Journal of Medical Genetics. 65(10). 104592–104592. 4 indexed citations
4.
Hill, Amanda, Hayley S. Mountford, Jenny C. Taylor, et al.. (2020). Multi-level evidence of an allelic hierarchy of USH2A variants in hearing, auditory processing and speech/language outcomes. Communications Biology. 3(1). 180–180. 9 indexed citations
5.
Lahiri, Nayana, Niranjanan Nirmalananthan, Subash Somalanka, et al.. (2020). First presentation of LPIN1 acute rhabdomyolysis in adolescence and adulthood. Neuromuscular Disorders. 30(7). 566–571. 5 indexed citations
6.
7.
Piña-Aguilar, Raúl E., Sheila A Simpson, Angus Clarke, et al.. (2018). 27 years of prenatal diagnosis for Huntington disease in the United Kingdom. Genetics in Medicine. 21(7). 1639–1643. 9 indexed citations
8.
Politis, Marios, Nayana Lahiri, Flavia Niccolini, et al.. (2015). Increased central microglial activation associated with peripheral cytokine levels in premanifest Huntington's disease gene carriers. Neurobiology of Disease. 83. 115–121. 117 indexed citations
9.
Träger, Ulrike, Ralph André, Nayana Lahiri, et al.. (2014). HTT-lowering reverses Huntington’s disease immune dysfunction caused by NFκB pathway dysregulation. Brain. 137(3). 819–833. 138 indexed citations
10.
Silajdžić, Edina, Melinda Rezeli, Ákos Végvári, et al.. (2013). A Critical Evaluation of Inflammatory Markers in Huntington's Disease Plasma. Journal of Huntington s Disease. 2(1). 125–134. 24 indexed citations
11.
Diamanti, Daniela, Nayana Lahiri, Alessia Tarditi, et al.. (2013). Reference Genes Selection for Transcriptional Profiling in Blood of HD Patients and R6/2 Mice. Journal of Huntington s Disease. 2(2). 185–200. 8 indexed citations
12.
Weiss, Andreas, Ulrike Träger, Edward J. Wild, et al.. (2012). Mutant huntingtin fragmentation in immune cells tracks Huntington’s disease progression. Journal of Clinical Investigation. 122(10). 3731–3736. 106 indexed citations
13.
Wild, Edward J., Anna Magnusson, Nayana Lahiri, et al.. (2011). Abnormal peripheral chemokine profile in Huntington’s disease. PLoS Currents. 3. RRN1231–RRN1231. 94 indexed citations
14.
Müller, Hans‐Peter, Volkmar Glauche, Marianne Novak, et al.. (2011). Stability of white matter changes related to Huntington’s disease in the presence of imaging noise: a DTI study. PLoS Currents. 3. RRN1232–RRN1232. 19 indexed citations
15.
Zuccato, Chiara, Manuela Marullo, Alessia Tarditi, et al.. (2011). Brain-Derived Neurotrophic Factor in Patients with Huntington's Disease. PLoS ONE. 6(8). e22966–e22966. 110 indexed citations
16.
Gaughwin, Philip Michael, Maciej Cieśla, Nayana Lahiri, et al.. (2011). Hsa-miR-34b is a plasma-stable microRNA that is elevated in pre-manifest Huntington's disease. Human Molecular Genetics. 20(11). 2225–2237. 149 indexed citations
17.
Marullo, Manuela, Chiara Zuccato, Caterina Mariotti, et al.. (2010). Expressed Alu repeats as a novel, reliable tool for normalization of real-time quantitative RT-PCR data. Genome biology. 11(1). R9–R9. 41 indexed citations
18.
Lahiri, Nayana & John S. Duncan. (2007). The Mozart effect: Encore. Epilepsy & Behavior. 11(1). 152–153. 28 indexed citations
19.
Afzal, Ali R., Anna Rajab, Christiane Fenske, et al.. (2000). Linkage of recessive Robinow syndrome to a 4 cM interval on chromosome 9q22. Human Genetics. 106(3). 351–354. 16 indexed citations
20.
Soman, Prem, A Parsons, Nayana Lahiri, & Avijit Lahiri. (1999). The prognostic value of a normal Tc-99m sestamibi SPECT study in suspected coronary artery disease. Journal of Nuclear Cardiology. 6(3). 252–256. 41 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by David W. Hampton Breakdown of academic impact, for papers by Yanmei Tao Breakdown of academic impact, for papers by Frank Zimmermann Breakdown of academic impact, for papers by Rémi Bos Breakdown of academic impact, for papers by Sumiko Mikawa Breakdown of academic impact, for papers by Abraham J. Langseth Breakdown of academic impact, for papers by Mailis C. McCulloch Breakdown of academic impact, for papers by Louis N. Manganas Breakdown of academic impact, for papers by Ulrich Pfisterer Breakdown of academic impact, for papers by Beatrice Paradiso
Rankless by CCL
2026