Jasmin Bartl

1.3k citations
37 papers · 1.1k · h-index 18

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
  • Physiology top 5%
    • Alzheimer's disease research and treatments

Papers in

Jasmin Bartl

36 papers receiving 1.1k citations

Peers

Jasmin Bartl
Comparison fields: 5 of 60
  • Genetics 83
  • Physiology 222
  • Psychiatry and Mental health 123
  • Cancer Research 63
  • Neurology 28
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Yoon Pin Lim Australia
Marianna D’Anca Italy
Nahuai Badiola Spain
Hirofumi Miyazaki Japan
Bo Tian China
Caterina Branca Italy
Yu Jia China
Xénia Latypova France
Minhui Su Germany
Valeria Valsecchi Italy
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Citations per field
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Citations per year

Countries citing papers authored by Jasmin Bartl

Since Specialization
Citations

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

Fields of papers citing papers by Jasmin Bartl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007273
2 2018118
3 200955
4 200752
5 201052
6 202147
7 201045
8 200844
9 202343
10 201431
11 201330
12 201029
13 201825
14 202225
15 201424
16 201523
17 202221
18 201718
19 201216
20 201316

About Jasmin Bartl

Jasmin Bartl is a scholar working on Psychiatry and Mental health, Genetics, Physiology, Cancer Research and Behavioral Neuroscience, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Attention Deficit Hyperactivity Disorder (5 papers), Glioma Diagnosis and Treatment (4 papers), Cancer-related molecular mechanisms research (4 papers), Dementia and Cognitive Impairment Research (2 papers), Epigenetics and DNA Methylation (1 paper), Neurological Disease Mechanisms and Treatments (1 paper) and Advanced X-ray Imaging Techniques (1 paper). The work is most often cited by research in Genetics (83 citations), Physiology (222 citations), Psychiatry and Mental health (123 citations), Cancer Research (63 citations) and Neurology (28 citations). Jasmin Bartl has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Edna Grünblatt, Peter Franz Riederer, Christian Jacob, Thomas Arzberger, Wolfgang Roggendorf, Rivka Ravid, Eva Neuen-Jacob, Eleni Koutsilieri, Susanne Walitza and Manfred Gerlach. Their work appears in journals such as Journal of Alzheimer s Disease, Journal of Neural Transmission, Cell Death and Disease, Frontiers in Immunology and Neuro-Oncology.

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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