Daniela Géromin

541 citations
15 papers · 285 · h-index 9

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation

Papers in

Daniela Géromin

15 papers receiving 284 citations

Peers

Daniela Géromin
Comparison fields: 5 of 72
  • Immunology 114
  • Hematology 54
  • Oncology 67
  • Genetics 20
  • Neurology 15
Replace Adrian Zarębski with:
Adrian Zarębski Poland
Paul Waeltz United States
Kristina Gegenbauer Ireland
Gabriele Hessler Germany
Corrine E. Fiveash Australia
Mu‐Jie Lu United States
H Klein Germany
Peiyuan Lin United States
Fuminori Kazama Japan
Teresa Kivisto United States
Daniela Géromin relative to Adrian Zarębski Poland Adrian Zarębski's profile →
Citations per field
00.5×6.5×
Adrian Zarębski · 1×
Citations per year

Countries citing papers authored by Daniela Géromin

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Géromin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201570
2 200042
3 200636
4 199828
5 201326
6 201320
7 200019
8 202115
9 202210
10 19968
11 20046
12 20002
13 20251
14 20221
15 19981

About Daniela Géromin

Daniela Géromin is a scholar working on Immunology, Molecular Biology, Hematology, Physiology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 285 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Cardiac Imaging and Diagnostics (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Immunology (114 citations), Hematology (54 citations), Oncology (67 citations), Genetics (20 citations) and Neurology (15 citations). Daniela Géromin has collaborated with scholars based in France, Italy and Australia. Frequent co-authors include François Sigaux, Jean‐Michel Cayuela, Emmanuel Raffoux, Zena Khaznadar, Claude Preudhomme, Nicolas Dulphy, Antoine Toubert, Guylaine Henry, Aurélien de Reyniès and David S. Rickman. Their work appears in journals such as The Journal of Immunology, Journal of Cellular Physiology, Blood, BMC Genomics and Journal of Leukocyte Biology.

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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