Uta Heinemann

2.8k total citations
39 papers, 1.1k citations indexed

About

Uta Heinemann is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Uta Heinemann has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 14 papers in Neurology and 13 papers in Neurology. Recurrent topics in Uta Heinemann's work include Prion Diseases and Protein Misfolding (32 papers), Neurological diseases and metabolism (14 papers) and Alzheimer's disease research and treatments (7 papers). Uta Heinemann is often cited by papers focused on Prion Diseases and Protein Misfolding (32 papers), Neurological diseases and metabolism (14 papers) and Alzheimer's disease research and treatments (7 papers). Uta Heinemann collaborates with scholars based in Germany, Slovakia and United Kingdom. Uta Heinemann's co-authors include Inga Zerr, Anna Krasnianski, Bettina Meißner, Daniela Varges, Walter Schulz‐Schaeffer, Kai Kallenberg, Barbara Ciesielczyk, Joanna Gawinecka, Karin Gmitterová and Hans A. Kretzschmar and has published in prestigious journals such as PLoS ONE, Brain and Annals of Neurology.

In The Last Decade

Uta Heinemann

38 papers receiving 1.1k citations

Peers

Uta Heinemann

NEURO

PHYSI

Gianfranco Puoti Italy

Alessia Franceschini Italy

Katharina Stoeck Germany

Michel Mohr France

Yasushi Takehisa Japan

J.J. Martin Belgium

Shoichi Katsuragi Japan

Marleen J.A. Koel‐Simmelink Netherlands

Hisatomo Kowa Japan

Genjiro Suzuki Japan

Gianfranco Puoti Italy

Uta Heinemann

915 ×1.1

442 ×1.1

NEURO

254 ×0.8

NEURO

237 ×1.1

PHYSI

202 ×1.5

Citations per year, relative to Uta Heinemann Uta Heinemann (= 1×) peers Gianfranco Puoti

Countries citing papers authored by Uta Heinemann

Since Specialization

Citations

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

Fields of papers citing papers by Uta Heinemann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uta Heinemann

This figure shows the co-authorship network connecting the top 25 collaborators of Uta Heinemann. A scholar is included among the top collaborators of Uta Heinemann 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 Uta Heinemann. Uta Heinemann 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

Gmitterová, Karin, Joanna Gawinecka, Uta Heinemann, Peter Valkovič, & Inga Zerr. (2017). DNA versus RNA oxidation in Parkinson’s disease: Which is more important?. Neuroscience Letters. 662. 22–28. 16 indexed citations

Krasnianski, Anna, Uta Heinemann, Claudia Ponto, et al.. (2015). Clinical findings and diagnosis in genetic prion diseases in Germany. European Journal of Epidemiology. 31(2). 187–196. 23 indexed citations

Karch, André, Claudia Ponto, Péter Hermann, et al.. (2013). Investigating the Association of ApoE Genotypes with Blood-Brain Barrier Dysfunction Measured by Cerebrospinal Fluid-Serum Albumin Ratio in a Cohort of Patients with Different Types of Dementia. PLoS ONE. 8(12). e84405–e84405. 18 indexed citations

Krasnianski, Anna, Pascual Sánchez‐Juan, Michael Bartl, et al.. (2013). A proposal of new diagnostic pathway for fatal familial insomnia. Journal of Neurology Neurosurgery & Psychiatry. 85(6). 654–659. 34 indexed citations

Gawinecka, Joanna, Abdul R. Asif, Daniela Varges, et al.. (2013). Low-Abundant Cerebrospinal Fluid Proteome Alterations in Dementia with Lewy Bodies. Journal of Alzheimer s Disease. 34(2). 387–397. 10 indexed citations

Gawinecka, Joanna, Barbara Ciesielczyk, Pascual Sánchez‐Juan, et al.. (2011). Desmoplakin as a Potential Candidate for Cerebrospinal Fluid Marker to Rule Out 14-3-3 False Positive Rates in Sporadic Creutzfeldt-Jakob Disease Differential Diagnosis. Neurodegenerative Diseases. 9(3). 139–144. 8 indexed citations

Heinemann, Uta, Joanna Gawinecka, Christian Schmidt, & Inga Zerr. (2010). Differential Diagnosis of Rapid Progressive Dementia. European Neurological Review. 5(2). 21–21. 7 indexed citations

Gmitterová, Karin, Uta Heinemann, Joanna Gawinecka, et al.. (2009). 8-OHdG in Cerebrospinal Fluid as a Marker of Oxidative Stress in Various Neurodegenerative Diseases. Neurodegenerative Diseases. 6(5-6). 263–269. 67 indexed citations

Meißner, Bettina, Kai Kallenberg, Pascual Sánchez‐Juan, et al.. (2009). MRI and clinical syndrome in dura materrelated Creutzfeldt-Jakob disease. Journal of Neurology. 256(3). 355–363. 17 indexed citations

10.

Mollenhauer, Brit, Uta Heinemann, Daniela Varges, et al.. (2008). Movement disturbances in the differential diagnosis of Creutzfeldt‐Jakob disease. Movement Disorders. 24(3). 350–356. 16 indexed citations

11.

Krasnianski, Anna, Kai Kallenberg, Donald A. Collie, et al.. (2008). MRI in the classical MM1 and the atypical MV2 subtypes of sporadic CJD: an inter‐observer agreement study. European Journal of Neurology. 15(8). 762–771. 14 indexed citations

12.

Heinemann, Uta, et al.. (2008). Quantitative Analysis of Transthyretin, Tau and Amyloid-β in Patients with Dementia. Journal of Alzheimer s Disease. 14(1). 17–25. 85 indexed citations

13.

Dabaghian, Reza, Inga Zerr, Uta Heinemann, & Gianluigi Zanusso. (2008). Detection of proteinase K resistant proteins in the urine of patients with Creutzfeldt-Jakob and other neurodegenerative diseases. Prion. 2(4). 170–178. 6 indexed citations

14.

Krasnianski, Anna, Uta Heinemann, Bettina Meißner, et al.. (2008). Fatal familial insomnia: Clinical features and early identification. Annals of Neurology. 63(5). 658–661. 46 indexed citations

15.

Krasnianski, Anna, Nicolas von Ahsen, Uta Heinemann, et al.. (2007). ApoE Distribution and Family History in Genetic Prion Diseases in Germany. Journal of Molecular Neuroscience. 34(1). 45–50. 7 indexed citations

16.

Heinemann, Uta, et al.. (2007). Molecular subtype-specific clinical diagnosis of prion diseases. Veterinary Microbiology. 123(4). 328–335. 5 indexed citations

17.

Krasnianski, Anna, Bettina Meißner, Walter Schulz‐Schaeffer, et al.. (2006). Clinical Features and Diagnosis of the MM2 Cortical Subtype of Sporadic Creutzfeldt-Jakob Disease. Archives of Neurology. 63(6). 876–876. 61 indexed citations

18.

Schulz‐Schaeffer, Walter, Monika Bodemer, Barbara Ciesielczyk, et al.. (2006). Brain-derived proteins in the CSF, do they correlate with brain pathology in CJD?. BMC Neurology. 6(1). 35–35. 20 indexed citations

19.

Schulz‐Schaeffer, Walter, Bettina Meißner, Kai Kallenberg, et al.. (2005). Clinical course in young patients with sporadic Creutzfeldt–Jakob disease. Annals of Neurology. 58(4). 533–543. 39 indexed citations

20.

Stoeck, Katharina, Monika Bodemer, Barbara Ciesielczyk, et al.. (2005). Interleukin 4 and Interleukin 10 Levels Are Elevated in the Cerebrospinal Fluid of Patients With Creutzfeldt-Jakob Disease. Archives of Neurology. 62(10). 1591–4. 35 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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