Julia Kaiser

1.1k citations
27 papers · 818 · h-index 14

Impact in

Papers in

Julia Kaiser

27 papers receiving 803 citations

Peers

Julia Kaiser
Comparison fields: 5 of 103
  • Developmental Neuroscience 77
  • Neurology 128
  • Cellular and Molecular Neuroscience 116
  • Pathology and Forensic Medicine 112
  • Clinical Biochemistry 42
Replace Paschalis Theotokis with:
Paschalis Theotokis Greece
Vanessa Frodermann Netherlands
Michael Cossoy Canada
Xi Shen China
Sanjay C. Keswani United States
Georgette L. Suidan United States
Jian Ye China
Kei Noguchi Japan
Pingting Yang China
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Julia Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia Kaiser, 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 Julia Kaiser Line = papers co-authored together Julia Kaiser 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 2003175
2 2018174
3 201772
4 201848
5 201744
6 202244
7 201931
8 201926
9 201626
10 200622
11 202020
12 201718
13 202017
14 202013
15
Blood Stasis: China's classical concept in modern medicine
200612
16 201812
17 202010
18 201710
19 20208
20 20208

About Julia Kaiser

Julia Kaiser is a scholar working on Surgery, Cellular and Molecular Neuroscience, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 27 papers that have together received 818 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Nerve injury and regeneration (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Adenosine and Purinergic Signaling (3 papers), Drug Transport and Resistance Mechanisms (3 papers), MicroRNA in disease regulation (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Language, Metaphor, and Cognition (2 papers). The work is most often cited by research in Developmental Neuroscience (77 citations), Neurology (128 citations), Cellular and Molecular Neuroscience (116 citations), Pathology and Forensic Medicine (112 citations) and Clinical Biochemistry (42 citations). Julia Kaiser has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Martin E. Schwab, Ruslan Rust, Thomas Klingebiel, Ursula Creutzig, Thomas Lehrnbecher, Dirk Reinhardt, Gisela Drews, Peter Krippeit‐Drews, Martina Düfer and Christian Tackenberg. Their work appears in journals such as Diabetes, Journal of Neuroscience, BMC Biology, Neurotherapeutics and Acta Neuropathologica.

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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