Uta Heinemann

2.8k citations
39 papers · 1.1k indexed · h-index 18
  • Neurology top 2%
    • Neurological diseases and metabolism 14
    • Alcoholism and Thiamine Deficiency 5
  • Neurology top 5%
    • Neurological diseases and metabolism 14
    • Alcoholism and Thiamine Deficiency 5
    • Prion Diseases and Protein Misfolding 32
    • Microbial metabolism and enzyme function 4
    • Trace Elements in Health 5
    • Fibromyalgia and Chronic Fatigue Syndrome Research 6
    • Alzheimer's disease research and treatments 7
    • Amino Acid Enzymes and Metabolism 5

Uta Heinemann

38 papers receiving 1.1k citations

Peers

Uta Heinemann
Comparison fields: 5 of 79
  • Neurology 397
  • Neurology 338
  • Molecular Biology 839
  • Nutrition and Dietetics 132
  • Psychiatry and Mental health 126
Replace Gianfranco Puoti with:
Gianfranco Puoti Italy
Katharina Stoeck Germany
Alessia Franceschini Italy
Michel Mohr France
Hisatomo Kowa Japan
Genjiro Suzuki Japan
Yasushi Takehisa Japan
Marleen J.A. Koel‐Simmelink Netherlands
J.J. Martin Belgium
Harutsugu Tatebe Japan
Uta Heinemann relative to Gianfranco Puoti Italy Gianfranco Puoti's profile →
Citations per field
00.5×1.5×
Gianfranco Puoti · 1×
Citations per year

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

The 25 scholars most cited alongside Uta Heinemann, 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 Uta Heinemann Line = papers co-authored together Uta Heinemann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201716
2 201523
3 201318
4 201334
5 201310
6 20118
7 20107
8 200967
9 200917
10 200816
11 200814
12 200885
13 20086
14 200846
15 20077
16 20075
17 200661
18 200620
19 200539
20 200535

About Uta Heinemann

Uta Heinemann is a scholar working on Neurology, Neurology and Biochemistry, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (32 papers), Neurological diseases and metabolism (14 papers), Alzheimer's disease research and treatments (7 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers), Amino Acid Enzymes and Metabolism (5 papers), Alcoholism and Thiamine Deficiency (5 papers), Trace Elements in Health (5 papers) and Microbial metabolism and enzyme function (4 papers). The work is most often cited by research in Neurology (397 citations), Neurology (338 citations) and Molecular Biology (839 citations). Uta Heinemann has collaborated with scholars based in Germany, Slovakia and United Kingdom. Frequent 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. Their work appears in journals such as PLoS ONE, Brain and Annals of Neurology.

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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