Ulrike Mann

1.6k citations
27 papers · 1.3k · h-index 17

Impact in

  • Neurology top 5%
    • Neurological diseases and metabolism
  • Physiology top 5%
    • Alzheimer's disease research and treatments

Papers in

Ulrike Mann

25 papers receiving 1.2k citations

Peers

Ulrike Mann
Comparison fields: 5 of 93
  • Neurology 183
  • Physiology 428
  • Psychiatry and Mental health 205
  • Biochemistry 72
  • Biological Psychiatry 21
Replace Tomas Müller‐Thomsen with:
Tomas Müller‐Thomsen Germany
Gerard D. Schellenberg United States
Eugene Hone Australia
Dana M. Niedowicz United States
Flaubert Tchantchou United States
Teresa Gasalla Spain
Nurgül Aytan United States
Masaru Minami Japan
Miguel Baquero Spain
Jiong Shi United States
Ulrike Mann relative to Tomas Müller‐Thomsen Germany Tomas Müller‐Thomsen's profile →
Citations per field
00.5×1.6×
Tomas Müller‐Thomsen · 1×
Citations per year

Countries citing papers authored by Ulrike Mann

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Mann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ulrike Mann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ulrike Mann Line = papers co-authored together Ulrike Mann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000180
2 2000153
3 2004135
4 1998135
5 2001113
6 199273
7 199172
8 200270
9 200470
10 199243
11 198939
12 200232
13 199229
14 198925
15 200023
16
Cerebral muscarinic receptors in primary degenerative dementia as evaluated by SPECT with iodine-123-labeled QNB.
199018
17 201816
18 201810
19 20248
20 20236

About Ulrike Mann

Ulrike Mann is a scholar working on Physiology, Molecular Biology, Pharmacology, Neurology and Cell Biology, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Neurological diseases and metabolism (4 papers), Prion Diseases and Protein Misfolding (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Dementia and Cognitive Impairment Research (3 papers), Biotin and Related Studies (2 papers), Myasthenia Gravis and Thymoma (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). The work is most often cited by research in Neurology (183 citations), Physiology (428 citations), Psychiatry and Mental health (205 citations), Biochemistry (72 citations) and Biological Psychiatry (21 citations). Ulrike Mann has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Tomas Müller‐Thomsen, Sönke Arlt, Ulrike Beisiegel†, Erich Mohr, Anatol Kontush, Roger M. Nitsch, Stefanie Ganzer, T N Chase, Ulrich Finckh and Giuliano Binetti. Their work appears in journals such as Gastroenterology, The American Journal of Human Genetics, Free Radical Biology and Medicine, Movement Disorders and Human Molecular Genetics.

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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