Ivana Geric

464 total citations · 1 hit paper
10 papers, 285 citations indexed

About

Ivana Geric is a scholar working on Neurology, Immunology and Molecular Biology. According to data from OpenAlex, Ivana Geric has authored 10 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 7 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Ivana Geric's work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Immune cells in cancer (6 papers) and Inflammation biomarkers and pathways (2 papers). Ivana Geric is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Immune cells in cancer (6 papers) and Inflammation biomarkers and pathways (2 papers). Ivana Geric collaborates with scholars based in Belgium, United Kingdom and United States. Ivana Geric's co-authors include Myriam Baes, Renzo Mancuso, Bart De Strooper, Anna Martínez‐Muriana, Nicola Fattorelli, Leen Wolfs, Lien Beckers, Michael Kassiou, Michel Koole and Guy Bormans and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Nature Protocols.

In The Last Decade

Ivana Geric

9 papers receiving 284 citations

Hit Papers

Xenografted human microglia display diverse transcriptomi... 2024 2026 2025 2024 10 20 30 40 50

Peers

Ivana Geric
Comparison fields: 5 of 58
  • Neurology 184
  • Molecular Biology 101
  • Immunology 98
  • Physiology 77
  • Neurology 31
Carola Focke Germany
Maximilian Deußing Germany
Yolanda Pires‐Afonso Luxembourg
Elisa Faggiani Italy
Javier Rueda‐Carrasco Spain
Mitchell G. Rezzonico France
Junqiu Jia China
Gabriella Pál Hungary
Tanja Zöller Germany
Junko Miyoshi Japan
Carola Focke Germany View profile →
Citations per field, relative to Ivana Geric
Ivana Geric · 1×
Citations per year, relative to Ivana Geric
Ivana Geric · 1×

Countries citing papers authored by Ivana Geric

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Geric

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivana Geric

This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Geric. A scholar is included among the top collaborators of Ivana Geric based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivana Geric. Ivana Geric is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 1
2 0
3 8
4 4
5
Xenografted human microglia display diverse transcriptomic states in response to Alzheimer’s disease-related amyloid-β pathology breakdown →
55
6 71
7 26
8 31
9 73
10 16

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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2026