Daniel Žucha

541 citations
15 papers · 302 · h-index 11

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Neurogenesis and neuroplasticity mechanisms

Papers in

    • Single-cell and spatial transcriptomics 5
    • Neuroinflammation and Neurodegeneration Mechanisms 5
    • Neurological Disease Mechanisms and Treatments 2

Daniel Žucha

14 papers receiving 302 citations

Peers

Daniel Žucha
Comparison fields: 5 of 57
  • Neurology 101
  • Developmental Neuroscience 27
  • Sensory Systems 15
  • Immunology 51
  • Molecular Biology 136
Replace Sidar Aydin with:
Sidar Aydin Switzerland
Praveen Ashok Kumar Germany
Tanner Jensen United States
Luísa Mendes-Jorge Spain
Rocío Rodriguez Spain
Shisi Wang China
Daliya Kancheva Belgium
Grammatiki Fotaki Sweden
Sarah B. Simmons United States
Giulio Volpe Italy
Daniel Žucha relative to Sidar Aydin Switzerland Sidar Aydin's profile →
Citations per field
00.5×3.8×
Sidar Aydin · 1×
Citations per year

Countries citing papers authored by Daniel Žucha

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Žucha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202072
2 201932
3 202331
4 201826
5 202123
6 202122
7 202421
8 202319
9 202418
10 202314
11 202210
12 20228
13 20245
14 20251
15 20260

About Daniel Žucha

Daniel Žucha is a scholar working on Molecular Biology, Neurology, Immunology, Cancer Research and Surgery, having authored 15 papers that have together received 302 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Diabetes and associated disorders (2 papers), MicroRNA in disease regulation (2 papers), Pancreatic function and diabetes (2 papers), Immune cells in cancer (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Neurology (101 citations), Developmental Neuroscience (27 citations), Sensory Systems (15 citations), Immunology (51 citations) and Molecular Biology (136 citations). Daniel Žucha has collaborated with scholars based in Czechia, Germany and Australia. Frequent co-authors include Lukáš Valihrach, Mikael Kubista, Pavel Abaffy, Miroslava Anděrová, Peter Androvic, Denisa Kirdajová, Ján Kriška, Jana Turečková, Daniel Jirák and Romana Bohuslavová. Their work appears in journals such as Nature Communications, Neuroscience, Clinical Chemistry, Genome biology and Cell Reports.

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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