Arno Gasperi

2.4k total citations
21 papers, 1.6k citations indexed

About

Arno Gasperi is a scholar working on Neurology, Epidemiology and Psychiatry and Mental health. According to data from OpenAlex, Arno Gasperi has authored 21 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 5 papers in Epidemiology and 4 papers in Psychiatry and Mental health. Recurrent topics in Arno Gasperi's work include Parkinson's Disease Mechanisms and Treatments (12 papers), Neurological disorders and treatments (9 papers) and Restless Legs Syndrome Research (5 papers). Arno Gasperi is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (12 papers), Neurological disorders and treatments (9 papers) and Restless Legs Syndrome Research (5 papers). Arno Gasperi collaborates with scholars based in Austria, Italy and United Kingdom. Arno Gasperi's co-authors include Johann Willeit, Stefan Kiechl, Werner Poewe, Klaus Seppi, Gregorio Rungger, Gregor K. Wenning, Birgit Högl, M. Saletu, Philipp Mahlknecht and Heike Stockner and has published in prestigious journals such as Circulation, PLoS ONE and Neurology.

In The Last Decade

Arno Gasperi

20 papers receiving 1.5k citations

Peers

Arno Gasperi

NEURO

EPIDE

PHYSI

PMH

Elise Rowan United Kingdom

Dagmar Verbaan Netherlands

Theresa Zesiewicz United States

Elio Troisi Italy

Alberto Romagnolo Italy

Anne‐Louise Lafontaine Canada

Beatriz Tijero Spain

Kristian Winge Denmark

Jin Whan Cho South Korea

Marian L. Evatt United States

Elise Rowan United Kingdom

Arno Gasperi

1.6k ×1.9

NEURO

722 ×1.7

EPIDE

294 ×0.9

384 ×1.3

PHYSI

543 ×2.6

PMH

Citations per year, relative to Arno Gasperi Arno Gasperi (= 1×) peers Elise Rowan

Countries citing papers authored by Arno Gasperi

Since Specialization

Citations

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

Fields of papers citing papers by Arno Gasperi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arno Gasperi

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

All Works

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20 of 20 papers shown

Bösch, Philipp, Antonella Adinolfi, Arnd Kleyer, et al.. (2022). Ultrasound-detected inflammation is more common in clinically manifest hand osteoarthritis than in painless bony enlarged finger joints: subanalysis of the population-based Bruneck study. Therapeutic Advances in Musculoskeletal Disease. 14. 1759720X221096382–1759720X221096382.

Marini, Kathrin, Philipp Mahlknecht, Heike Stockner, et al.. (2020). Application of a Simple Parkinson's Disease Risk Score in a Longitudinal Population‐Based Cohort. Movement Disorders. 35(9). 1658–1662. 9 indexed citations

Mahlknecht, Philipp, Heike Stockner, Kathrin Marini, et al.. (2019). Midbrain hyperechogenicity, hyposmia, mild parkinsonian signs and risk for incident Parkinson's disease over 10 years: A prospective population-based study. Parkinsonism & Related Disorders. 70. 51–54. 26 indexed citations

Mahlknecht, Philipp, Arno Gasperi, Atbin Djamshidian, et al.. (2018). Performance of the Movement Disorders Society criteria for prodromal Parkinson's disease: A population‐based 10‐year study. Movement Disorders. 33(3). 405–413. 53 indexed citations

Defrancesco, Michaela, Raimund Pechlaner, Stefan Kiechl, et al.. (2017). What Characterizes Depression in Old Age? Results from the Bruneck Study. Pharmacopsychiatry. 51(4). 153–160. 9 indexed citations

Mahlknecht, Philipp, Arno Gasperi, Peter Willeit, et al.. (2016). Prodromal Parkinson's disease as defined per MDS research criteria in the general elderly community. Movement Disorders. 31(9). 1405–1408. 66 indexed citations

Mahlknecht, Philipp, Klaus Seppi, Birgit Frauscher, et al.. (2015). Probable RBD and association with neurodegenerative disease markers: A population‐based study. Movement Disorders. 30(10). 1417–1421. 72 indexed citations

Mahlknecht, Philipp, Stefan Kiechl, Heike Stockner, et al.. (2014). Predictors for mild parkinsonian signs: A prospective population-based study. Parkinsonism & Related Disorders. 21(3). 321–324. 24 indexed citations

Mahlknecht, Philipp, Klaus Seppi, Heike Stockner, et al.. (2013). Substantia Nigra Hyperechogenicity as a Marker for Parkinson's Disease: A Population-Based Study. Neurodegenerative Diseases. 12(4). 212–218. 30 indexed citations

10.

Lerche, Stefanie, Klaus Seppi, Stefanie Behnke, et al.. (2013). Risk factors and prodromal markers and the development of Parkinson’s disease. Journal of Neurology. 261(1). 180–187. 37 indexed citations

11.

Mahlknecht, Philipp, Stefan Kiechl, Bastiaan R. Bloem, et al.. (2013). Prevalence and Burden of Gait Disorders in Elderly Men and Women Aged 60–97 Years: A Population-Based Study. PLoS ONE. 8(7). e69627–e69627. 167 indexed citations

12.

Knoflach, Michael, Stefan Kiechl, Alberto Mantovani, et al.. (2012). Pentraxin-3 as a Marker of Advanced Atherosclerosis Results from the Bruneck, ARMY and ARFY Studies. PLoS ONE. 7(2). e31474–e31474. 60 indexed citations

13.

Willeit, Peter, Johann Willeit, Anita Kloss‐Brandstätter, et al.. (2010). Cellular Aging Reflected by Leukocyte Telomere Length Predicts Advanced Atherosclerosis and Cardiovascular Disease Risk. Arteriosclerosis Thrombosis and Vascular Biology. 30(8). 1649–1656. 231 indexed citations

14.

Schwaiger, Johannes P., Stefan Kiechl, Heike Stockner, et al.. (2008). Burden of atherosclerosis and risk of venous thromboembolism in patients with migraine. Neurology. 71(12). 937–943. 48 indexed citations

15.

Schwaiger, Johannes P., Stefan Kiechl, Klaus Seppi, et al.. (2008). Prevalence of Primary Headaches and Cranial Neuralgias in Men and Women Aged 55–94 Years (Bruneck Study). Cephalalgia. 29(2). 179–187. 55 indexed citations

16.

Wenning, Gregor K., Stefan Kiechl, Klaus Seppi, et al.. (2005). Prevalence of movement disorders in men and women aged 50–89 years (Bruneck Study cohort): a population-based study. The Lancet Neurology. 4(12). 815–820. 209 indexed citations

17.

Högl, Birgit, Stefan Kiechl, Johann Willeit, et al.. (2005). Restless legs syndrome. Neurology. 64(11). 1920–1924. 286 indexed citations

18.

Müller, Jörg, Stefan Kiechl, Gregor K. Wenning, et al.. (2002). The prevalence of primary dystonia in the general community. Neurology. 59(6). 941–943. 98 indexed citations

19.

Kis, Bernhard, Anette Schrag, Yoav Ben‐Shlomo, et al.. (2002). Novel three-stage ascertainment method. Neurology. 58(12). 1820–1825. 49 indexed citations

20.

Kiechl, Stefan, Armin Muigg, Peter Santer, et al.. (1999). Poor Response to Activated Protein C as a Prominent Risk Predictor of Advanced Atherosclerosis and Arterial Disease. Circulation. 99(5). 614–619. 46 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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