Nayana Gaur

490 total citations
20 papers, 255 citations indexed

About

Nayana Gaur is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Nayana Gaur has authored 20 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Nayana Gaur's work include Amyotrophic Lateral Sclerosis Research (14 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Nayana Gaur is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (14 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Nayana Gaur collaborates with scholars based in Germany, Estonia and India. Nayana Gaur's co-authors include Julian Großkreutz, Otto W. Witte, Tino Prell, Beatrice Stubendorff, Robert Steinbach, Thomas E. Mayer, Caroline Perner, Annekathrin Rödiger, Jayshree Advani and Prashant Kumar Modi and has published in prestigious journals such as Virology, Human Brain Mapping and Clinical Neurophysiology.

In The Last Decade

Nayana Gaur

20 papers receiving 254 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 Gaur Germany 11 152 76 69 39 38 20 255
Hongfei Tai China 13 311 2.0× 139 1.8× 100 1.4× 55 1.4× 52 1.4× 32 379
Cinzia Tiloca Italy 9 283 1.9× 114 1.5× 96 1.4× 33 0.8× 68 1.8× 15 347
Anne-Kathrin Lutz Germany 8 87 0.6× 57 0.8× 114 1.7× 17 0.4× 19 0.5× 11 227
Jason Hehir United Kingdom 4 195 1.3× 39 0.5× 79 1.1× 69 1.8× 49 1.3× 5 252
Abi Witherden United Kingdom 4 61 0.4× 36 0.5× 66 1.0× 32 0.8× 25 0.7× 5 204
Manuela Galioto Italy 9 167 1.1× 28 0.4× 167 2.4× 32 0.8× 62 1.6× 16 371
Aneesh Donde United States 6 133 0.9× 78 1.0× 101 1.5× 22 0.6× 38 1.0× 6 247
Ching‐Chieh Chou United States 7 101 0.7× 29 0.4× 106 1.5× 15 0.4× 39 1.0× 7 237
Sanan Venkatesh United States 7 53 0.3× 27 0.4× 84 1.2× 34 0.9× 29 0.8× 9 240
Pádraig J. Mulcahy Ireland 7 148 1.0× 42 0.6× 80 1.2× 77 2.0× 32 0.8× 7 242

Countries citing papers authored by Nayana Gaur

Since Specialization
Citations

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

Fields of papers citing papers by Nayana Gaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nayana Gaur

This figure shows the co-authorship network connecting the top 25 collaborators of Nayana Gaur. A scholar is included among the top collaborators of Nayana Gaur 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 Gaur. Nayana Gaur 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.
Jagomäe, Toomas, et al.. (2025). GABA and GLP-1 receptor agonist combination therapy modifies diabetes and Langerhans islet cytoarchitecture in a rat model of Wolfram syndrome. Diabetology & Metabolic Syndrome. 17(1). 82–82. 1 indexed citations
3.
Jagomäe, Toomas, et al.. (2023). Treatment with the dual-incretin agonist DA-CH5 demonstrates potent therapeutic effect in a rat model of Wolfram Syndrome. Frontiers in Endocrinology. 14. 1234925–1234925. 3 indexed citations
4.
Wang, Mengzhe, Nayana Gaur, Yiming Cheng, et al.. (2022). Age-dependent increase of cytoskeletal components in sensory axons in human skin. Frontiers in Cell and Developmental Biology. 10. 965382–965382. 5 indexed citations
5.
Gaur, Nayana, et al.. (2021). Age- and airway disease related gene expression patterns of key SARS-CoV-2 entry factors in human nasal epithelia. Virology. 561. 65–68. 6 indexed citations
6.
Gaur, Nayana, Tino Prell, Robert Steinbach, et al.. (2021). Monocyte-Derived Macrophages Contribute to Chitinase Dysregulation in Amyotrophic Lateral Sclerosis: A Pilot Study. Frontiers in Neurology. 12. 629332–629332. 6 indexed citations
8.
Steinbach, Robert, Tino Prell, Nayana Gaur, et al.. (2021). Patterns of grey and white matter changes differ between bulbar and limb onset amyotrophic lateral sclerosis. NeuroImage Clinical. 30. 102674–102674. 14 indexed citations
9.
Prell, Tino, et al.. (2021). Blood–Brain Barrier Disruption Is Not Associated With Disease Aggressiveness in Amyotrophic Lateral Sclerosis. Frontiers in Neuroscience. 15. 656456–656456. 16 indexed citations
10.
11.
Prell, Tino, Nayana Gaur, Robert Steinbach, Otto W. Witte, & Julian Großkreutz. (2020). Modelling disease course in amyotrophic lateral Sclerosis: pseudo-longitudinal insights from cross-sectional health-related quality of life data. Health and Quality of Life Outcomes. 18(1). 117–117. 14 indexed citations
12.
Gaur, Nayana, Caroline Perner, Otto W. Witte, & Julian Großkreutz. (2020). The Chitinases as Biomarkers for Amyotrophic Lateral Sclerosis: Signals From the CNS and Beyond. Frontiers in Neurology. 11. 377–377. 25 indexed citations
13.
Steinbach, Robert, Tino Prell, Nayana Gaur, et al.. (2020). Triage of Amyotrophic Lateral Sclerosis Patients during the COVID-19 Pandemic: An Application of the D50 Model. Journal of Clinical Medicine. 9(9). 2873–2873. 5 indexed citations
14.
Steinbach, Robert, Nayana Gaur, Annekathrin Roediger, et al.. (2020). Disease aggressiveness signatures of amyotrophic lateral sclerosis in white matter tracts revealed by the D50 disease progression model. Human Brain Mapping. 42(3). 737–752. 17 indexed citations
15.
Prell, Tino, Beatrice Stubendorff, Nayana Gaur, et al.. (2019). Reaction to Endoplasmic Reticulum Stress via ATF6 in Amyotrophic Lateral Sclerosis Deteriorates With Aging. Frontiers in Aging Neuroscience. 11. 5–5. 23 indexed citations
16.
Steinbach, Robert, Nayana Gaur, A. Voss, et al.. (2019). Applying the D50 disease progression model to gray and white matter pathology in amyotrophic lateral sclerosis. NeuroImage Clinical. 25. 102094–102094. 20 indexed citations
17.
Sahu, Apeksha, Nayana Gaur, Oishi Chatterjee, et al.. (2018). The 5-Hydroxytryptamine signaling map: an overview of serotonin-serotonin receptor mediated signaling network. Journal of Cell Communication and Signaling. 12(4). 731–735. 47 indexed citations
18.
Steinbach, Robert, Nayana Gaur, Beatrice Stubendorff, Otto W. Witte, & Julian Großkreutz. (2018). Developing a Neuroimaging Biomarker for Amyotrophic Lateral Sclerosis: Multi-Center Data Sharing and the Road to a “Global Cohort”. Frontiers in Neurology. 9. 1055–1055. 10 indexed citations
19.
Gaur, Nayana, Beatrice Stubendorff, Otto W. Witte, & Julian Großkreutz. (2018). P46. Modelling individual amyotrophic lateral sclerosis (ALS) disease courses in the PRO-ACT data base using the D50 progression model. Clinical Neurophysiology. 129(8). e86–e86. 1 indexed citations
20.
Prell, Tino, Nayana Gaur, Beatrice Stubendorff, et al.. (2018). Disease progression impacts health-related quality of life in amyotrophic lateral sclerosis. Journal of the Neurological Sciences. 397. 92–95. 19 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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