Jadranka Macas

2.1k citations
24 papers · 1.4k indexed · h-index 11

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Barrier Structure and Function Studies

Papers in

Jadranka Macas

22 papers receiving 1.3k citations

Peers

Jadranka Macas
Comparison fields: 5 of 93
  • Developmental Neuroscience 200
  • Neurology 350
  • Cancer Research 357
  • Molecular Biology 824
  • Genetics 122
Replace Andreas Junker with:
Andreas Junker Germany
Stéphane C. Boutet United States
Laura Denti United Kingdom
Vijayabalan Balasingam Canada
Gail Workman United States
Francesca Ruffini Italy
Fatima Banine United States
Nan Hyung Hong United States
Marisa Karow Germany
Lucrezia Colonna United States
Jadranka Macas relative to Andreas Junker Germany Andreas Junker's profile →
Citations per field
00.5×3.5×
Andreas Junker · 1×
Citations per year

Countries citing papers authored by Jadranka Macas

Since Specialization
Citations

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

Fields of papers citing papers by Jadranka Macas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20256
2 20251
3 20250
4 20230
5 20234
6 20223
7 20222
8 202137
9 202098
10 202033
11 20203
12 201964
13 20186
14 2016128
15 2015232
16 2014332
17 20146
18 2012127
19 200931
20 2006208

About Jadranka Macas

Jadranka Macas is a scholar working on Neurology, Developmental Neuroscience, Genetics, Immunology and Oncology, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), CAR-T cell therapy research (4 papers), Immune Cell Function and Interaction (4 papers), Barrier Structure and Function Studies (4 papers), Extracellular vesicles in disease (3 papers), Lung Cancer Research Studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). The work is most often cited by research in Developmental Neuroscience (200 citations), Neurology (350 citations), Cancer Research (357 citations), Molecular Biology (824 citations) and Genetics (122 citations). Jadranka Macas has collaborated with scholars based in Germany, United Kingdom and Japan. Frequent co-authors include Karl H. Plate, Stefan Momma, Christian Nern, Kavi Devraj, Anne-Kathleen Rupp, Julia Starmann, Peter Altevogt, Holger Sültmann, Kirsten De Ridder and Stefan Liebner. Their work appears in journals such as Journal of Neuroscience, Acta Neuropathologica, Neuro-Oncology, Stem Cells and Scientific 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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